meteoland
Víctor Granda (EMF)
Introduction
What is meteoland?
meteoland R library offers functions to estimate weather variables at any position of a landscape.
What we can do with meteoland
- Interpolate (estimation of meteo in desired locations)
- Calibration
- Cross validation
Using meteoland
Installation
Basic usage
library(meteoland)
# creating the interpolator object
interpolator <- with_meteo(meteoland_meteo_example) |>
create_meteo_interpolator()
# performing the interpolation
points_interpolated <- points_to_interpolate_example |>
interpolate_data(interpolator)
# result
points_interpolatedSimple feature collection with 15 features and 5 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 0.7578958 ymin: 41.31541 xmax: 2.98657 ymax: 42.6336
Geodetic CRS: WGS 84
# A tibble: 15 × 6
plot_id elevation slope aspect geometry interpolated_data
<chr> <dbl> <dbl> <dbl> <POINT [°]> <list>
1 P_05284 889. 25.2 313. (2.320167 42.24139) <tibble [30 × 13]>
2 P_06572 680. 18.0 79.9 (2.552233 42.02596) <tibble [30 × 13]>
3 P_07201 141. 4.17 52.9 (2.721874 41.88258) <tibble [30 × 13]>
4 P_07512 254. 14.3 261. (2.98657 41.9006) <tibble [30 × 13]>
5 P_08207 1860. 36.4 293. (2.209903 42.33968) <tibble [30 × 13]>
6 P_08299 183. 4.12 92.9 (2.817143 42.24325) <tibble [30 × 13]>
7 P_09341 819 23.4 128. (1.126766 42.42612) <tibble [30 × 13]>
8 P_10272 860 34.8 347. (1.398528 42.26791) <tibble [30 × 13]>
9 P_10861 706 22.4 22.6 (0.9314126 42.04226) <tibble [30 × 13]>
10 P_11651 585 22.0 199. (0.7578958 41.8612) <tibble [30 × 13]>
11 P_12150 674. 30.3 154. (1.481719 41.81838) <tibble [30 × 13]>
12 P_12227 752. 6.04 27.7 (1.283161 41.591) <tibble [30 × 13]>
13 P_12417 702 11.6 63.1 (0.8727224 41.35875) <tibble [30 × 13]>
14 P_13007 972. 4.21 338. (1.120383 42.6336) <tibble [30 × 13]>
15 P_14029 556. 14.1 41.4 (1.480716 41.31541) <tibble [30 × 13]>Data types
Reference meteorological data
Usually the reference data comes from meteorological stations (field truth), but all meteoland needs at the end is an sf object with the following information:
- dates
- stations id
- stations topography
- meteorological data (temperature, humidity, precipitation, radiation, wind…)
Reference meteorological data
Simple feature collection with 5652 features and 18 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 0.30565 ymin: 40.55786 xmax: 3.18165 ymax: 42.77011
Geodetic CRS: WGS 84
# A tibble: 5,652 × 19
dates service stationID station_name station_province elevation
* <dttm> <chr> <chr> <chr> <chr> <dbl>
1 2022-04-01 00:00:00 meteoc… C6 Castellnou … Lleida 264
2 2022-04-01 00:00:00 meteoc… C7 Tàrrega Lleida 427
3 2022-04-01 00:00:00 meteoc… C8 Cervera Lleida 554
4 2022-04-01 00:00:00 meteoc… C9 Mas de Barb… Tarragona 240
5 2022-04-01 00:00:00 meteoc… CC Orís Barcelona 626
6 2022-04-01 00:00:00 meteoc… CD la Seu d'Ur… Lleida 849
7 2022-04-01 00:00:00 meteoc… CE els Hostale… Barcelona 316
8 2022-04-01 00:00:00 meteoc… CG Molló - Fab… Girona 1405
9 2022-04-01 00:00:00 meteoc… CI Sant Pau de… Girona 852
10 2022-04-01 00:00:00 meteoc… CJ Organyà Lleida 566.
# ℹ 5,642 more rows
# ℹ 13 more variables: MeanTemperature <dbl>, MinTemperature <dbl>,
# MaxTemperature <dbl>, MeanRelativeHumidity <dbl>,
# MinRelativeHumidity <dbl>, MaxRelativeHumidity <dbl>, Precipitation <dbl>,
# WindDirection <dbl>, WindSpeed <dbl>, Radiation <dbl>, geom <POINT [°]>,
# aspect <dbl>, slope <dbl>Reference meteorological data
In order to uniformize the process, the reference meteorological data needs to have a fixed set of names
| variable | description |
|---|---|
| dates | datetime |
| stationID | character |
| elevation | numeric, meters |
| aspect | numeric, degrees from north |
| slope | numeric, degrees from north |
| MeanTemperature | numeric, degrees Celsius |
| MinTemperature | numeric, degrees Celsius |
| MaxTemperature | numeric, degrees Celsius |
| MeanRelativeHumidity | numeric, percentage |
| MinRelativeHumidity | numeric, percentage |
| MaxRelativeHumidity | numeric, percentage |
| Precipitation | numeric, mm |
| WindDirection | numeric, degrees from north |
| WindSpeed | numeric, m/s |
| Radiation | numeric, MJ/m2 |
| geom/geometry | simple feature, POINT |
Reference meteorological data
The only mandatory variables in the reference meteorological data are:
elevationMinTemperatureandMaxTemperature
Topography data
To interpolate meteorological data, we need the reference meteo dataas we saw before, but also the points/raster of locations to be interpolated.
Topography data
It can be points, in which case we need an sf object with the topography of the points
Simple feature collection with 15 features and 4 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 0.7578958 ymin: 41.31541 xmax: 2.98657 ymax: 42.6336
Geodetic CRS: WGS 84
# A tibble: 15 × 5
plot_id elevation slope aspect geometry
<chr> <dbl> <dbl> <dbl> <POINT [°]>
1 P_05284 889. 25.2 313. (2.320167 42.24139)
2 P_06572 680. 18.0 79.9 (2.552233 42.02596)
3 P_07201 141. 4.17 52.9 (2.721874 41.88258)
4 P_07512 254. 14.3 261. (2.98657 41.9006)
5 P_08207 1860. 36.4 293. (2.209903 42.33968)
6 P_08299 183. 4.12 92.9 (2.817143 42.24325)
7 P_09341 819 23.4 128. (1.126766 42.42612)
8 P_10272 860 34.8 347. (1.398528 42.26791)
9 P_10861 706 22.4 22.6 (0.9314126 42.04226)
10 P_11651 585 22.0 199. (0.7578958 41.8612)
11 P_12150 674. 30.3 154. (1.481719 41.81838)
12 P_12227 752. 6.04 27.7 (1.283161 41.591)
13 P_12417 702 11.6 63.1 (0.8727224 41.35875)
14 P_13007 972. 4.21 338. (1.120383 42.6336)
15 P_14029 556. 14.1 41.4 (1.480716 41.31541)Topography data
And it can be a raster, in which case we need an stars object with the topography as attributes
stars object with 2 dimensions and 3 attributes
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
elevation 240.000000 370.000000 447.00000 460.32231 525.00000 786.0000
slope 1.432096 5.720433 11.34812 13.07343 19.75851 31.0719
aspect 5.194427 74.744881 174.36932 181.67923 291.03751 360.0000
dimension(s):
from to offset delta refsys x/y
x 155 165 0.0364777 0.0105789 WGS 84 [x]
y 110 120 42.9208 -0.0105789 WGS 84 [y]Topography data
As with the meteo data, we need a fixed set of names for the topographical daata
| variable | description |
|---|---|
| elevation | numeric, meters |
| aspect | numeric, degrees from north |
| slope | numeric, degrees from north |
Topography data
The only mandatory variable in the topography data is:
elevation
Points interpolation process
step by step
Obtaining the reference meteo data
First thing we need is reference meteorological data. This can be obtained from a lot of different sources (own meteo stations, government open data…).
Independently of the meteo data origin, remember we need it in an specific format with fixed names (MeanTemperature, elevation…)
Obtaining the reference meteo data
Let’s say we obtained the following meteo from our own local stations:
# A tibble: 15 × 9
date station latitude longitude min_temp max_temp precip rh altitude
<date> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2022-12-01 a 41.4 -0.33 8.64 16.4 0 89.2 100
2 2022-12-02 a 41.4 -0.33 8.14 19.6 0 27.1 100
3 2022-12-03 a 41.4 -0.33 16.1 19.6 0 20 100
4 2022-12-04 a 41.4 -0.33 8.62 21.9 0 45.8 100
5 2022-12-05 a 41.4 -0.33 10.6 15.2 0 67.1 100
6 2022-12-01 b 40.1 0.12 14.5 24.2 0 36.2 600
7 2022-12-02 b 40.1 0.12 2.54 13.8 0 28.1 600
8 2022-12-03 b 40.1 0.12 13.8 21.9 0 40.7 600
9 2022-12-04 b 40.1 0.12 8.28 21.4 0 39.5 600
10 2022-12-05 b 40.1 0.12 3.26 16.2 0 38.6 600
11 2022-12-01 c 42 1.12 16.5 20.7 0 58.8 1200
12 2022-12-02 c 42 1.12 10.8 23.8 0 37.3 1200
13 2022-12-03 c 42 1.12 21.5 37.5 0 47.1 1200
14 2022-12-04 c 42 1.12 16.1 25.7 10 21.3 1200
15 2022-12-05 c 42 1.12 7.51 12.0 8 54.8 1200Obtaining the reference meteo data
This data is not valid for meteoland. We can check it with the with_meteo() function:
Obtaining the reference meteo data
In this case, we need to rename the variables to the accepted ones, and transform to sf:
library(meteoland)
library(sf)
ready_meteo <- unformatted_meteo |>
# convert names to correct ones
dplyr::rename(
dates = date,
stationID = station,
MinTemperature = min_temp,
MaxTemperature = max_temp,
MeanRelativeHumidity = rh,
Precipitation = precip,
elevation = altitude
) |>
# transform to sf (WGS84)
sf::st_as_sf(
coords = c("longitude", "latitude"),
crs = sf::st_crs(4326)
)
ready_meteoSimple feature collection with 15 features and 7 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: -0.33 ymin: 40.11 xmax: 1.12 ymax: 42
Geodetic CRS: WGS 84
# A tibble: 15 × 8
dates stationID MinTemperature MaxTemperature Precipitation
* <date> <chr> <dbl> <dbl> <dbl>
1 2022-12-01 a 8.64 16.4 0
2 2022-12-02 a 8.14 19.6 0
3 2022-12-03 a 16.1 19.6 0
4 2022-12-04 a 8.62 21.9 0
5 2022-12-05 a 10.6 15.2 0
6 2022-12-01 b 14.5 24.2 0
7 2022-12-02 b 2.54 13.8 0
8 2022-12-03 b 13.8 21.9 0
9 2022-12-04 b 8.28 21.4 0
10 2022-12-05 b 3.26 16.2 0
11 2022-12-01 c 16.5 20.7 0
12 2022-12-02 c 10.8 23.8 0
13 2022-12-03 c 21.5 37.5 0
14 2022-12-04 c 16.1 25.7 10
15 2022-12-05 c 7.51 12.0 8
# ℹ 3 more variables: MeanRelativeHumidity <dbl>, elevation <dbl>,
# geometry <POINT [°]>Obtaining the reference meteo data
Now the meteo data should be ready to work with meteoland
Obtaining the reference meteo data
If we are getting the meteorological from meteospain or worldmet, things are easier as meteoland provides meteospain2meteoland and worldmet2meteoland functions, that automatizes the process:
library(meteospain)
aemet_data <- get_meteo_from(
"aemet",
aemet_options("daily", as.Date("2023-04-01"), as.Date("2023-04-30"), api_key = Sys.getenv("aemet"))
) |>
meteospain2meteoland(complete = TRUE)
aemet_dataSimple feature collection with 7140 features and 18 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: -17.91528 ymin: 27.73583 xmax: 4.215556 ymax: 43.78611
Geodetic CRS: WGS 84
# A tibble: 7,140 × 19
dates service stationID station_name station_province elevation
* <dttm> <chr> <chr> <chr> <chr> <dbl>
1 2023-04-01 00:00:00 aemet 0016A "REUS AEROP… TARRAGONA 71
2 2023-04-01 00:00:00 aemet 0076 "BARCELONA … BARCELONA 4
3 2023-04-01 00:00:00 aemet 0149X "MANRESA" BARCELONA 291
4 2023-04-01 00:00:00 aemet 0200E "BARCELONA,… BARCELONA 408
5 2023-04-01 00:00:00 aemet 0252D "ARENYS DE … BARCELONA 74
6 2023-04-01 00:00:00 aemet 0324A "RIPOLL" GIRONA 675
7 2023-04-01 00:00:00 aemet 0367 "GIRONA AER… GIRONA 143
8 2023-04-01 00:00:00 aemet 0372C "PORQUERES" GIRONA 157
9 2023-04-01 00:00:00 aemet 1002Y "BAZTAN, IR… NAVARRA 183
10 2023-04-01 00:00:00 aemet 1014 "HONDARRIBI… GIPUZKOA 4
# ℹ 7,130 more rows
# ℹ 13 more variables: MeanTemperature <dbl>, MinTemperature <dbl>,
# MaxTemperature <dbl>, Precipitation <dbl>, WindSpeed <dbl>,
# insolation <dbl>, geometry <POINT [°]>, MeanRelativeHumidity <dbl>,
# MinRelativeHumidity <dbl>, MaxRelativeHumidity <dbl>, Radiation <dbl>,
# aspect <dbl>, slope <dbl>Completing the meteo data
meteospain2meteoland and worldmet2meteoland have the option to complete the meteo data, as we saw before. But in custom data, we need to run this step explicitly:
Simple feature collection with 15 features and 13 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: -0.33 ymin: 40.11 xmax: 1.12 ymax: 42
Geodetic CRS: WGS 84
# A tibble: 15 × 14
dates stationID MinTemperature MaxTemperature Precipitation
* <date> <chr> <dbl> <dbl> <dbl>
1 2022-12-01 a 8.64 16.4 0
2 2022-12-02 a 8.14 19.6 0
3 2022-12-03 a 16.1 19.6 0
4 2022-12-04 a 8.62 21.9 0
5 2022-12-05 a 10.6 15.2 0
6 2022-12-01 b 14.5 24.2 0
7 2022-12-02 b 2.54 13.8 0
8 2022-12-03 b 13.8 21.9 0
9 2022-12-04 b 8.28 21.4 0
10 2022-12-05 b 3.26 16.2 0
11 2022-12-01 c 16.5 20.7 0
12 2022-12-02 c 10.8 23.8 0
13 2022-12-03 c 21.5 37.5 0
14 2022-12-04 c 16.1 25.7 10
15 2022-12-05 c 7.51 12.0 8
# ℹ 9 more variables: MeanRelativeHumidity <dbl>, elevation <dbl>,
# geometry <POINT [°]>, MeanTemperature <dbl>, MinRelativeHumidity <dbl>,
# MaxRelativeHumidity <dbl>, Radiation <dbl>, aspect <dbl>, slope <dbl>Creating the interpolator object
The next step is using the reference meteo data to create an interpolator object. This object will store the reference data and the interpolation parameters for using it in the interpolation process:
Creating the interpolator object
stars object with 2 dimensions and 13 attributes
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu.
Temperature -1.500000 13.000000 16.000000 15.8573816 19.00000
MinTemperature -10.500000 5.700000 9.400000 9.2326940 12.80000
MaxTemperature 2.900000 19.100000 22.600000 22.4853262 26.05000
RelativeHumidity 35.224672 56.560657 64.895961 65.6276713 74.37295
Precipitation 0.000000 0.000000 0.000000 0.5538987 0.00000
Radiation 7.883877 20.057151 22.615737 21.7088804 24.18948
WindDirection NA NA NA NaN NA
WindSpeed 0.000000 1.900000 2.800000 3.1307099 3.90000
elevation 2.000000 52.000000 381.000000 450.2887029 720.00000
aspect 0.000000 0.000000 0.000000 0.0000000 0.00000
slope 0.000000 0.000000 0.000000 0.0000000 0.00000
SmoothedPrecipitation 0.100000 0.900000 2.157143 3.2562360 4.30000
SmoothedTemperatureRange 3.537500 9.812946 14.050852 13.2656337 16.70430
Max. NA's
Temperature 28.80000 288
MinTemperature 22.50000 288
MaxTemperature 38.80000 287
RelativeHumidity 96.80380 288
Precipitation 57.80000 296
Radiation 27.88279 288
WindDirection NA 7170
WindSpeed 18.30000 423
elevation 2371.00000 0
aspect 0.00000 0
slope 0.00000 0
SmoothedPrecipitation 30.10000 3047
SmoothedTemperatureRange 21.74615 240
dimension(s):
from to offset delta refsys point
date 1 30 2023-04-01 UTC 1 days POSIXct FALSE
station 1 239 NA NA WGS 84 TRUE
values
date NULL
station POINT (1.163611 41.145),...,POINT (-17.88889 27.81889)Inspecting the interpolator
We can take a look to the interpolation parameters with get_interpolation_params() function:
$initial_Rp
[1] 6.405216
$iterations
[1] 3
$alpha_MinTemperature
[1] 3
$alpha_MaxTemperature
[1] 3
$alpha_DewTemperature
[1] 3
$alpha_PrecipitationEvent
[1] 5
$alpha_PrecipitationAmount
[1] 5
$alpha_Wind
[1] 3
$N_MinTemperature
[1] 30
$N_MaxTemperature
[1] 30
$N_DewTemperature
[1] 30
$N_PrecipitationEvent
[1] 5
$N_PrecipitationAmount
[1] 20
$N_Wind
[1] 2
$St_Precipitation
[1] 5
$St_TemperatureRange
[1] 15
$pop_crit
[1] 0.5
$f_max
[1] 0.6
$wind_height
[1] 10
$debug
[1] FALSEInspecting the interpolator
Alternatively, we can set interpolation parameters with set_interpolation_params() function:
Saving and loading interpolator objects
In order to save interpolator objects for re using them, meteoland provides functions to write and read back interpolator files:
write_interpolator(interpolator, "interpolator_aemet_may_2023", .overwrite = TRUE)
foo <- read_interpolator("interpolator_aemet_may_2023")
waldo::compare(foo, interpolator)`attr(old, 'dimensions')$station$refsys$input`: "WGS 84"
`attr(new, 'dimensions')$station$refsys$input`: "EPSG:4326"
`attr(attr(old, 'dimensions')$station$values, 'crs')$input`: "WGS 84"
`attr(attr(new, 'dimensions')$station$values, 'crs')$input`: "EPSG:4326"Interpolate the data
And finally, we can interpolate our data:
ℹ Starting interpolation...ℹ Temperature interpolation is needed also...• Interpolating temperature...ℹ Precipitation interpolation is needed also...• Interpolating precipitation...ℹ Relative humidity interpolation is needed also...• Interpolating relative humidity...ℹ Radiation calculation is needed also...• Calculating radiation...ℹ Wind interpolation is needed also...• Interpolating wind...• Calculating PET...✔ Interpolation done...Warning: There was 1 warning in `dplyr::mutate()`.
ℹ In argument: `interpolated_data = res_list`.
Caused by warning:
! Some points are outside the convex hull of the `interpolator` object.
✖ Index of outside point is "6"Simple feature collection with 15 features and 5 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 0.7578958 ymin: 41.31541 xmax: 2.98657 ymax: 42.6336
Geodetic CRS: WGS 84
# A tibble: 15 × 6
plot_id elevation slope aspect geometry interpolated_data
<chr> <dbl> <dbl> <dbl> <POINT [°]> <list>
1 P_05284 889. 25.2 313. (2.320167 42.24139) <tibble [30 × 13]>
2 P_06572 680. 18.0 79.9 (2.552233 42.02596) <tibble [30 × 13]>
3 P_07201 141. 4.17 52.9 (2.721874 41.88258) <tibble [30 × 13]>
4 P_07512 254. 14.3 261. (2.98657 41.9006) <tibble [30 × 13]>
5 P_08207 1860. 36.4 293. (2.209903 42.33968) <tibble [30 × 13]>
6 P_08299 183. 4.12 92.9 (2.817143 42.24325) <tibble [30 × 13]>
7 P_09341 819 23.4 128. (1.126766 42.42612) <tibble [30 × 13]>
8 P_10272 860 34.8 347. (1.398528 42.26791) <tibble [30 × 13]>
9 P_10861 706 22.4 22.6 (0.9314126 42.04226) <tibble [30 × 13]>
10 P_11651 585 22.0 199. (0.7578958 41.8612) <tibble [30 × 13]>
11 P_12150 674. 30.3 154. (1.481719 41.81838) <tibble [30 × 13]>
12 P_12227 752. 6.04 27.7 (1.283161 41.591) <tibble [30 × 13]>
13 P_12417 702 11.6 63.1 (0.8727224 41.35875) <tibble [30 × 13]>
14 P_13007 972. 4.21 338. (1.120383 42.6336) <tibble [30 × 13]>
15 P_14029 556. 14.1 41.4 (1.480716 41.31541) <tibble [30 × 13]>Inspect interpolation results
Results are nested, for each point we want to interpolate. To unnest the data we use the tidyr package
Simple feature collection with 450 features and 17 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 0.7578958 ymin: 41.31541 xmax: 2.98657 ymax: 42.6336
Geodetic CRS: WGS 84
# A tibble: 450 × 18
plot_id elevation slope aspect geometry dates
<chr> <dbl> <dbl> <dbl> <POINT [°]> <dttm>
1 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-01 00:00:00
2 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-02 00:00:00
3 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-03 00:00:00
4 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-04 00:00:00
5 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-05 00:00:00
6 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-06 00:00:00
7 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-07 00:00:00
8 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-08 00:00:00
9 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-09 00:00:00
10 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-10 00:00:00
# ℹ 440 more rows
# ℹ 12 more variables: DOY <dbl>, MeanTemperature <dbl>, MinTemperature <dbl>,
# MaxTemperature <dbl>, Precipitation <dbl>, MeanRelativeHumidity <dbl>,
# MinRelativeHumidity <dbl>, MaxRelativeHumidity <dbl>, Radiation <dbl>,
# WindSpeed <dbl>, WindDirection <dbl>, PET <dbl>Interpolating rasters
Interpolating rasters
If instead of points we want to interpolate in a surface (raster), the process is the same, but with a topography raster:
stars object with 2 dimensions and 3 attributes
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
elevation 240.000000 370.000000 447.00000 460.32231 525.00000 786.0000
slope 1.432096 5.720433 11.34812 13.07343 19.75851 31.0719
aspect 5.194427 74.744881 174.36932 181.67923 291.03751 360.0000
dimension(s):
from to offset delta refsys x/y
x 155 165 0.0364777 0.0105789 WGS 84 [x]
y 110 120 42.9208 -0.0105789 WGS 84 [y]Interpolating rasters
stars object with 3 dimensions and 14 attributes
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu.
MeanTemperature 9.6941180 13.832003 15.290401 15.7775905 17.373205
MinTemperature -0.1126821 5.158661 6.731817 7.4002183 9.639470
MaxTemperature 14.1330105 19.419064 20.938945 21.2242649 22.739624
Precipitation 0.0000000 0.000000 0.000000 0.5627678 0.000000
MeanRelativeHumidity 51.0316136 59.364639 62.504946 62.7452423 65.491374
MinRelativeHumidity 33.5317473 40.803890 44.634124 44.7510944 47.653811
MaxRelativeHumidity 95.2258943 100.000000 100.000000 99.9825071 100.000000
Radiation 11.6878157 18.496448 21.338451 20.8539407 23.259324
WindSpeed 1.4000000 2.200000 2.500000 2.6206627 2.800000
WindDirection NA NA NA NaN NA
PET 1.5599741 3.383388 3.803529 3.7816678 4.236821
elevation 240.0000000 370.000000 447.000000 460.3223140 525.000000
slope 1.4320962 5.720433 11.348120 13.0734264 19.758511
aspect 5.1944275 74.744881 174.369324 181.6792323 291.037506
Max. NA's
MeanTemperature 21.711878 0
MinTemperature 14.157010 0
MaxTemperature 26.623790 0
Precipitation 12.084869 0
MeanRelativeHumidity 80.024059 0
MinRelativeHumidity 61.037058 0
MaxRelativeHumidity 100.000000 0
Radiation 27.001473 0
WindSpeed 4.400000 0
WindDirection NA 3630
PET 5.287415 0
elevation 786.000000 0
slope 31.071896 0
aspect 360.000000 0
dimension(s):
from to offset delta refsys point x/y
x 1 11 1.67091 0.0105789 WGS 84 FALSE [x]
y 1 11 41.7624 -0.0105789 WGS 84 FALSE [y]
date 1 30 2023-04-01 UTC 1 days POSIXct FALSE Summary
# create interpolator
interpolator <- get_meteo_from(
"aemet",
aemet_options("daily", as.Date("2023-04-01"), as.Date("2023-04-30"), api_key = Sys.getenv("aemet"))
) |>
meteospain2meteoland(complete = TRUE) |>
with_meteo() |>
create_meteo_interpolator()
nfi_plots_april_23 <- points_to_interpolate_example |>
interpolate_data(interpolator) |>
tidyr::unnest(cols = "interpolated_data")
nfi_plots_april_23Summary
Simple feature collection with 450 features and 17 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 0.7578958 ymin: 41.31541 xmax: 2.98657 ymax: 42.6336
Geodetic CRS: WGS 84
# A tibble: 450 × 18
plot_id elevation slope aspect geometry dates
<chr> <dbl> <dbl> <dbl> <POINT [°]> <dttm>
1 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-01 00:00:00
2 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-02 00:00:00
3 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-03 00:00:00
4 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-04 00:00:00
5 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-05 00:00:00
6 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-06 00:00:00
7 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-07 00:00:00
8 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-08 00:00:00
9 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-09 00:00:00
10 P_05284 889. 25.2 313. (2.320167 42.24139) 2023-04-10 00:00:00
# ℹ 440 more rows
# ℹ 12 more variables: DOY <dbl>, MeanTemperature <dbl>, MinTemperature <dbl>,
# MaxTemperature <dbl>, Precipitation <dbl>, MeanRelativeHumidity <dbl>,
# MinRelativeHumidity <dbl>, MaxRelativeHumidity <dbl>, Radiation <dbl>,
# WindSpeed <dbl>, WindDirection <dbl>, PET <dbl>Calibration
(we will need coffee)
Interpolator calibration
Calibration is one of the most important steps in the meteorological interpolation performed by meteoland, consisting in obtaining the optimal interpolation parameters for our reference meteo data.
Default parameters are okish as starting points, but for serious business we need to calibrate the interpolator. This is done with the interpolator_calibration() function
Interpolator calibration
Interpolator calibration
$MAE
alpha_seq
N_seq 1 10
15 1.724790 1.820708
30 1.719515 1.737209
$minMAE
[1] 1.719515
$N
[1] 30
$alpha
[1] 1
$observed
2023-04-01 2023-04-02 2023-04-03 2023-04-04 2023-04-05 2023-04-06
0016A 10.5 8.4 6.6 6.0 3.4 8.3
0076 11.0 8.3 9.8 8.0 7.5 8.8
0149X 9.6 6.6 4.7 2.1 1.7 3.3
0200E 7.9 6.2 8.0 8.5 7.8 8.8
0252D 8.5 6.0 8.6 7.5 6.2 8.1
0324A 4.1 2.2 2.2 -0.8 -2.0 0.3
0367 5.7 2.5 6.0 2.6 0.8 2.2
0372C 5.7 3.1 6.5 3.5 1.5 3.5
1002Y 7.3 7.7 4.4 1.4 0.2 3.1
1014 9.5 10.1 8.7 5.9 5.1 7.5
1014A 10.5 11.0 9.6 6.8 NA 8.3
1024E 8.0 8.0 7.0 5.6 3.7 6.5
1037Y 5.7 3.9 4.6 1.4 -1.1 2.4
1041A 10.3 9.7 9.2 5.1 3.9 6.2
1050J 10.0 6.2 6.5 3.8 1.9 3.8
1057B 9.5 9.5 8.8 5.9 5.5 7.2
1078I 8.2 5.9 4.0 2.8 2.2 1.2
1082 9.4 6.0 4.9 3.6 1.3 3.3
1083L 10.0 8.7 7.9 5.5 3.5 6.0
1109 10.8 9.0 5.9 5.6 3.4 5.0
1111 11.2 10.0 8.0 7.3 4.9 7.2
1111X 10.8 10.2 8.1 7.5 5.0 7.3
1159 8.9 8.0 4.2 4.9 2.1 4.0
1183X 10.4 9.3 6.4 8.0 4.7 6.2
1207U 9.5 7.5 2.9 5.7 1.1 1.9
1208H 10.9 9.2 8.4 10.1 6.1 7.1
1210X 11.2 9.8 8.5 9.7 7.0 8.1
1212E 9.4 5.8 3.9 5.1 1.8 4.6
1221D -1.6 -1.7 0.2 -1.7 1.5 1.3
1249X 7.2 4.8 5.5 6.0 2.9 4.1
1283U 11.1 7.2 6.9 8.8 4.4 5.1
1331A 7.6 5.5 3.6 5.3 3.4 5.1
1351 10.3 9.6 9.1 10.4 9.3 9.2
1387 11.3 8.3 7.9 10.0 7.4 8.8
1387E 7.0 2.7 3.1 5.0 2.0 2.3
1393 NA NA NA NA 8.3 10.8
1400 9.2 8.0 10.4 8.7 8.1 9.0
1428 5.7 1.0 2.8 5.0 2.3 3.9
1473A 6.3 2.7 4.2 6.1 3.3 4.3
1475X 6.8 3.6 6.3 8.0 6.2 7.1
1484C 8.2 5.2 6.9 6.9 7.7 6.6
1495 6.7 4.4 6.8 6.1 7.8 7.1
1505 1.7 0.3 -1.1 3.2 -0.6 -0.3
1542 -1.4 -3.5 0.2 0.3 0.5 2.6
1549 4.9 0.7 1.8 2.5 1.7 4.0
1631E 2.2 -2.0 0.4 1.9 1.3 3.2
1690A 7.4 1.5 2.8 4.9 2.7 4.0
1700X 4.1 -1.0 0.7 1.9 0.6 1.9
1735X 2.1 -3.2 -2.6 -1.3 -2.8 -2.0
2030 2.9 1.9 -1.5 2.8 -0.8 -0.1
2117D 1.1 -3.2 -5.4 -4.5 -6.4 -3.5
2150H -3.0 -3.7 -2.4 0.7 2.2 3.2
2235U 0.0 0.2 -4.9 -1.0 0.5 1.0
2298 2.5 -0.6 -7.0 -3.4 -5.9 -2.9
2331 3.0 -0.2 -3.6 -2.5 -6.9 -3.3
2400E 0.8 -1.5 -1.4 0.0 -5.1 1.3
2422 4.4 1.4 0.4 2.7 -0.8 3.2
2444 4.6 -0.1 0.4 1.1 -1.6 2.2
2462 -2.7 -4.5 -0.7 1.5 2.0 4.8
2465 4.2 0.5 1.3 1.5 -0.3 4.3
2491C -0.3 -3.8 1.6 1.2 2.3 2.3
2539 2.5 -1.6 -2.0 1.0 -5.2 0.3
2614 5.9 1.9 0.2 2.7 -1.3 1.7
2661 2.5 0.5 -1.0 -1.7 -0.6 1.6
2737E 1.6 -3.3 -3.9 -2.3 -0.9 -0.9
2755X 5.0 0.9 0.9 1.8 -1.6 1.2
2775X 2.1 -3.5 -1.3 1.1 -3.7 -0.3
2867 2.7 -3.9 -1.2 0.4 -4.0 -2.3
2870 7.6 1.6 2.2 3.7 1.2 1.8
2916A 4.1 -0.3 1.7 3.6 -0.3 3.6
2946X 5.4 2.5 -0.2 7.6 0.2 -0.3
3013 1.2 -1.2 -5.6 -6.1 -8.1 -4.8
3094B 7.5 3.8 3.2 6.4 6.5 8.3
3100B 4.4 1.2 -1.8 1.8 NA NA
3110C 4.5 2.0 1.7 -1.3 -4.8 -0.7
3111D -0.9 -2.0 -1.3 -0.2 -0.2 3.9
3129 9.2 5.1 1.4 4.6 0.7 3.9
3130C 3.6 -0.7 -6.3 -5.0 -8.0 -4.2
3168D 8.3 2.8 1.8 5.8 2.1 5.4
3175 6.2 3.8 0.0 3.0 -1.8 2.6
3191E 7.1 2.8 2.9 6.2 4.5 8.0
3195 10.3 5.8 5.1 8.3 5.7 9.1
3196 9.0 4.2 4.0 7.0 4.2 9.1
3200 10.6 3.8 4.4 7.5 5.2 8.8
3260B 9.2 5.9 3.9 6.6 4.7 6.2
3266A 0.3 -2.3 -0.3 2.1 2.4 5.2
3338 8.1 5.1 1.8 5.3 0.7 4.2
3365A 6.0 1.7 3.3 6.4 3.3 4.0
3391 5.4 7.9 3.4 10.2 5.5 7.6
3434X 11.3 6.1 3.7 5.2 4.7 3.6
3469A 9.4 6.9 4.2 9.7 6.4 6.9
3519X 9.5 7.6 7.4 11.0 8.0 11.3
3526X 8.5 7.1 5.8 11.9 6.5 8.3
3576X 9.5 7.6 5.5 9.3 5.6 7.3
4061X 7.9 2.7 1.7 7.0 3.3 8.4
4067 6.6 2.1 0.1 5.5 1.6 3.2
4090Y 5.5 2.6 1.1 3.8 2.2 2.9
4103X 7.9 3.0 -0.6 4.6 2.1 1.8
4121 9.4 6.6 4.6 7.2 6.4 5.0
4147X 8.3 6.4 2.5 5.7 4.6 4.5
4148 7.6 5.9 2.2 5.7 3.2 5.1
4220X 7.9 8.5 2.1 5.3 4.8 2.4
4244X 10.7 7.1 5.4 9.0 5.4 6.5
4267X 7.5 7.5 3.8 7.5 3.8 5.2
4358X 8.7 8.0 6.1 11.2 8.5 8.0
4386B 7.5 8.8 8.5 10.1 8.1 11.0
4410X 7.6 6.3 2.8 7.9 2.4 5.8
4452 9.5 9.8 4.1 10.6 5.7 6.5
4511C 7.4 10.8 5.2 10.8 8.2 6.0
4549Y 13.4 15.0 12.2 13.8 9.7 8.5
4560Y 9.4 10.3 10.7 11.8 10.8 10.7
4642E 11.6 12.6 9.0 12.9 8.5 7.2
5000C 17.6 15.8 14.4 14.0 15.5 15.1
5047E 11.7 5.2 -0.2 4.3 0.1 -0.6
5181D 11.0 8.1 4.7 6.2 7.3 4.7
5192 9.9 6.1 4.4 8.3 7.7 8.5
5246 9.7 8.1 5.2 8.8 7.3 8.5
5270B 11.3 12.6 9.8 11.6 13.5 14.2
5298X 9.2 7.8 4.0 6.1 4.7 4.0
5390Y 7.0 8.2 6.1 9.1 8.9 10.0
5402 8.3 8.0 6.2 7.9 4.7 4.3
5427X 11.2 11.2 10.3 11.3 10.3 12.0
5514 10.0 10.3 3.6 7.0 4.0 3.4
5530E 9.1 6.8 1.4 5.8 3.9 2.6
5582A 12.0 12.2 6.2 8.6 8.5 8.3
5612B 9.8 6.4 2.5 10.6 4.1 5.4
5641X 11.6 10.3 5.5 10.8 6.8 5.8
5704B 9.7 8.5 4.2 6.5 3.3 3.8
5783 11.7 12.1 8.8 12.5 7.6 9.7
5796 10.0 10.5 9.3 10.9 8.9 8.4
5860E 11.3 11.7 11.7 12.1 9.0 8.9
5910 14.4 12.0 8.3 12.8 9.1 9.4
5911A 11.3 9.4 7.1 9.2 8.7 13.0
5960 10.3 9.5 5.9 9.6 5.5 6.5
5972X 15.7 15.0 11.2 13.9 12.5 15.1
5973 16.5 16.4 12.6 15.5 13.2 15.6
5995B 13.4 13.9 12.7 12.8 13.0 13.1
6000A 19.3 14.9 12.7 13.1 15.7 15.2
6001 14.8 12.4 13.3 14.9 15.5 15.0
6058I 16.5 14.9 13.4 14.2 14.6 14.6
6106X 11.5 9.8 NA 11.0 6.5 10.8
6155A 17.1 12.7 9.9 12.2 9.3 10.8
6156X 17.6 14.2 10.5 12.5 8.8 10.0
6205X 18.0 14.4 12.3 12.9 12.1 11.7
6277B 17.7 16.1 14.7 14.4 13.2 14.5
6293X 12.3 9.7 8.0 10.8 14.3 12.2
6302A 13.7 11.2 8.4 NA NA 4.8
6325O 17.2 13.2 10.1 10.4 10.3 12.6
6367B 18.2 11.2 8.4 7.4 5.4 5.4
7002Y 17.2 13.6 12.6 10.2 9.9 7.8
7012C 18.1 14.9 13.2 11.2 10.9 10.0
7031 17.0 12.5 12.9 9.5 12.0 11.0
7031X 16.1 12.1 9.3 8.2 9.4 9.3
7096B 12.2 7.4 5.9 7.2 5.5 3.6
7119B 11.5 9.1 2.6 4.5 1.4 1.8
7145D 16.9 11.7 8.9 9.1 6.3 5.0
7178I 20.0 13.1 11.8 10.7 9.3 7.3
7209 19.6 11.8 9.5 8.1 7.8 7.2
7228 17.4 12.9 10.0 9.0 8.0 4.3
7247X 14.5 6.6 5.3 4.6 1.0 0.9
7275C 13.2 7.8 7.0 3.3 0.6 1.0
8019 15.0 12.0 9.3 8.1 8.8 8.3
8025 15.7 12.6 10.5 9.3 9.2 7.6
8050X 14.1 10.1 8.3 5.1 6.7 5.9
8096 7.3 2.2 0.7 1.9 -0.8 4.8
8175 8.9 4.6 0.4 4.2 1.5 4.7
8177A 7.1 1.6 -0.2 3.4 2.7 2.9
8178D 9.2 3.7 1.1 5.0 1.8 4.0
8293X 14.0 10.9 5.8 5.9 8.8 6.7
8309X 6.0 4.2 4.1 2.2 -0.7 1.2
8325X 13.4 9.1 5.1 4.7 7.2 6.8
8368U 4.6 1.7 -0.1 -1.9 -4.0 1.4
8414A 14.2 12.1 7.4 5.6 8.3 6.9
8416 16.0 12.8 11.2 8.7 10.0 9.4
8416Y 14.6 12.8 11.2 8.6 10.0 9.4
8489X 1.2 2.2 1.3 -3.0 -2.3 -1.1
8500A 12.7 12.4 10.4 8.6 8.4 8.4
9001D 3.7 -1.2 -6.3 -5.3 -10.5 -5.6
9019B 4.0 1.9 -3.2 -1.7 -7.9 -3.5
9051 6.4 2.8 -1.7 -0.7 -5.9 -2.7
9091O 6.4 2.1 0.8 -1.2 -3.6 -1.8
9091R 6.3 1.8 -0.3 -2.1 -4.5 -2.9
9111 4.8 1.6 -0.1 -0.2 -2.4 0.9
9170 7.8 5.8 4.2 3.5 0.1 3.2
9208E 0.6 0.9 2.3 0.4 -0.2 3.3
9244X 3.5 3.5 5.7 4.1 -0.2 2.1
9262 9.3 5.0 6.8 5.4 1.4 4.8
9263D 4.7 4.7 5.9 3.2 -1.3 2.3
9263X 3.9 3.7 4.6 -0.2 -2.2 2.6
9294E 8.3 6.9 7.5 5.4 1.3 2.7
9381I 2.5 1.7 -1.5 -3.9 -6.2 -2.4
9390 4.2 1.9 -1.9 -2.1 -4.3 -2.0
9394X 6.2 4.4 -0.1 -0.4 -2.2 0.0
9434 8.6 7.8 8.3 7.8 5.2 6.8
9434P 8.9 7.5 8.1 7.7 6.4 6.9
9563X 0.5 1.2 0.9 0.4 1.9 6.4
9569A 7.0 6.9 5.7 5.0 3.4 6.5
9573X 7.3 6.8 5.2 2.2 -0.7 3.3
9585 -1.6 -1.6 -1.8 -3.4 -3.3 -1.0
9619 4.2 3.8 2.0 -2.3 -5.1 -1.6
9698U 5.2 4.3 3.3 2.2 0.3 3.9
9771C 8.9 6.7 5.0 3.4 3.0 6.3
9784P 1.8 1.5 3.4 -1.5 -2.7 0.6
9898 4.8 3.6 3.1 3.3 2.9 5.1
9981A 9.6 10.7 10.1 6.4 6.0 7.5
9990X 0.1 0.0 0.9 -1.7 -3.8 -1.6
B013X 8.0 7.4 4.6 2.5 0.9 1.8
B228 11.4 11.4 11.1 9.7 8.8 9.4
B248 3.6 3.5 4.7 4.6 3.8 3.8
B278 11.7 7.8 6.0 4.1 2.4 3.4
B434X 10.8 8.7 9.0 8.2 7.1 8.5
B569X 10.8 9.2 12.2 11.3 11.2 12.2
B691Y 10.4 8.2 5.9 4.5 3.0 4.8
B893 8.8 7.2 8.8 6.8 6.5 4.1
B954 13.6 11.5 8.6 7.1 6.9 5.8
C029O 17.3 17.9 17.2 16.6 15.8 17.2
C129Z 20.0 18.6 18.9 17.9 16.8 16.4
C139E 18.8 18.2 18.2 18.1 18.3 17.0
C229J 20.4 19.1 NA 16.6 16.0 18.2
C249I 17.7 17.9 16.8 16.4 15.1 17.5
C329Z 20.6 18.6 19.2 17.0 16.4 18.3
C429I 18.9 18.1 17.8 17.1 16.1 15.0
C430E 10.0 8.1 5.9 -0.6 -0.6 1.5
C439J 16.1 15.3 14.6 15.9 16.5 13.6
C447A 17.2 12.8 12.3 11.4 11.6 11.8
C449C 19.3 18.5 18.1 16.7 17.1 17.3
C459Z 19.0 17.6 17.5 17.6 17.3 15.9
C629X 18.9 17.9 17.0 16.9 18.4 16.5
C649I 18.9 18.6 18.4 16.1 15.3 18.7
C659M NA NA NA NA 16.3 18.1
C929I 19.2 19.0 18.7 18.6 18.3 18.3
2023-04-07 2023-04-08 2023-04-09 2023-04-10 2023-04-11 2023-04-12
0016A 7.5 6.9 6.3 9.8 9.3 9.9
0076 8.7 9.5 9.5 11.2 10.9 11.0
0149X 3.5 5.2 4.0 9.2 6.2 7.9
0200E 9.6 9.5 11.1 11.4 12.2 10.5
0252D 7.7 9.3 8.4 9.6 9.6 10.3
0324A 1.7 2.9 2.0 6.8 4.3 5.7
0367 3.0 5.0 2.9 6.6 5.3 6.8
0372C 4.9 5.4 3.8 7.3 7.5 8.2
1002Y 0.3 1.9 2.8 4.2 7.1 4.5
1014 5.4 6.8 7.6 11.4 11.0 8.8
1014A 6.1 7.7 8.5 12.4 12.0 9.7
1024E 6.4 9.2 11.0 9.2 11.5 7.0
1037Y 2.3 5.4 7.0 5.2 8.6 4.9
1041A 5.2 7.5 9.0 8.6 11.7 9.7
1050J 2.8 5.9 7.1 6.1 11.2 7.8
1057B 10.0 11.7 11.9 11.1 11.9 8.6
1078I 1.3 4.8 6.3 5.6 10.0 6.0
1082 3.8 6.5 8.2 6.9 10.5 7.5
1083L 7.0 8.7 9.9 9.0 11.6 8.7
1109 5.6 7.6 8.0 10.5 11.4 8.2
1111 8.2 9.8 11.9 10.5 12.2 8.5
1111X 8.2 10.0 11.7 11.0 12.4 8.6
1159 5.2 7.7 9.1 8.0 10.1 8.4
1183X 7.4 8.8 9.5 10.0 10.9 9.8
1207U 3.1 5.5 5.7 8.1 8.6 7.9
1208H 8.9 9.8 10.8 12.1 13.2 9.3
1210X 9.1 11.5 11.3 11.4 12.5 9.0
1212E 5.6 9.8 10.3 10.0 11.7 7.5
1221D 5.4 5.9 6.7 3.9 3.8 -2.4
1249X 5.3 10.3 11.1 9.0 10.4 6.0
1283U 6.3 10.3 10.7 NA NA 9.6
1331A 5.9 8.7 8.8 11.1 11.4 7.5
1351 9.7 10.5 11.0 12.0 10.8 8.6
1387 9.0 9.9 11.5 12.8 11.1 9.8
1387E 3.7 5.2 6.5 10.9 7.1 6.5
1393 9.1 11.5 10.2 11.7 9.9 9.4
1400 14.3 12.1 10.2 11.2 10.4 8.3
1428 7.7 7.3 7.4 8.5 7.5 5.2
1473A 4.4 4.4 5.4 9.6 9.2 5.3
1475X 7.4 7.6 NA 10.9 8.1 NA
1484C 11.1 9.8 9.0 10.1 11.6 6.5
1495 10.2 10.9 9.4 9.1 10.5 6.2
1505 0.8 2.6 3.3 6.5 9.9 4.9
1542 3.8 4.3 6.2 4.1 2.5 -2.2
1549 4.6 5.9 6.7 8.3 8.0 6.3
1631E 4.2 5.4 6.9 5.7 7.5 2.8
1690A 4.2 5.0 7.1 7.7 10.7 5.5
1700X 2.8 4.0 5.1 4.9 8.7 2.5
1735X -0.8 -0.7 0.7 0.0 5.8 1.4
2030 0.3 2.7 3.8 6.1 4.8 4.1
2117D -0.4 0.6 1.3 3.6 3.0 3.5
2150H 5.1 5.2 7.2 7.0 6.0 -1.3
2235U 2.6 6.3 6.7 5.2 3.5 0.1
2298 -1.0 -0.4 1.3 2.3 2.3 1.3
2331 -2.8 -0.3 1.6 3.2 4.0 0.9
2400E 1.2 5.1 5.3 3.6 2.2 -0.2
2422 3.6 5.1 6.5 8.2 7.5 4.6
2444 3.3 4.9 6.4 7.7 6.7 4.4
2462 5.5 6.4 8.3 6.0 4.0 -1.9
2465 7.0 7.8 8.6 9.8 8.2 5.4
2491C 3.9 3.8 6.0 4.2 3.0 -2.6
2539 1.1 4.4 4.9 6.0 3.4 2.0
2614 2.6 5.0 6.4 9.2 7.1 5.8
2661 4.1 5.9 6.4 5.1 5.0 1.0
2737E 0.2 2.9 2.9 4.3 1.7 2.1
2755X 3.0 5.0 6.1 4.8 5.8 5.4
2775X -0.2 3.0 3.2 5.9 2.9 1.7
2867 -1.3 1.1 3.1 4.4 3.3 3.1
2870 3.1 5.0 6.7 10.1 8.1 5.5
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2023-04-13 2023-04-14 2023-04-15 2023-04-16 2023-04-17 2023-04-18
0016A 8.8 10.0 12.7 8.2 5.8 10.2
0076 11.2 9.8 10.3 10.0 9.0 11.6
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9390 3.2 6.0 6.8 5.0 1.0 0.5
9394X 4.4 9.3 6.2 5.4 3.5 3.0
9434 7.7 7.2 11.6 8.9 9.7 9.0
9434P 7.7 7.7 11.5 8.4 9.6 8.5
9563X 0.7 2.9 4.8 2.2 2.9 3.0
9569A 6.5 5.5 10.5 7.7 7.8 6.9
9573X 6.2 4.8 10.6 7.7 5.5 5.0
9585 -3.4 -1.8 -0.6 -1.8 -2.4 -1.3
9619 1.2 0.5 2.2 3.0 0.9 4.0
9698U 2.5 1.4 3.4 4.4 7.1 5.5
9771C 6.8 7.7 10.3 4.6 6.2 9.0
9784P 3.2 2.2 6.5 4.2 5.4 0.3
9898 3.1 5.3 5.6 3.1 4.9 7.4
9981A 11.1 10.5 14.4 11.6 11.4 9.9
9990X 0.0 2.1 3.3 0.3 -1.2 -0.2
B013X 9.2 9.6 11.1 7.0 3.1 3.1
B228 13.2 13.9 15.8 13.4 11.1 11.2
B248 5.3 5.2 6.6 6.3 6.7 5.9
B278 11.9 11.3 11.1 9.0 5.2 5.1
B434X 11.8 13.2 14.4 11.0 10.9 10.0
B569X 12.0 13.6 15.2 13.6 13.5 13.7
B691Y 11.6 10.2 13.9 8.7 6.0 5.5
B893 10.3 10.9 12.9 10.0 8.9 8.1
B954 14.3 12.1 13.5 11.8 9.6 9.6
C029O 17.3 16.5 15.5 17.6 17.7 17.6
C129Z 18.4 17.2 17.8 18.0 18.5 17.1
C139E 18.4 18.5 18.6 19.1 17.7 16.8
C229J 18.2 17.3 16.8 18.6 18.5 18.7
C249I 18.1 17.6 16.6 17.0 17.0 17.2
C329Z 19.4 19.1 18.4 18.9 19.6 19.3
C429I 18.0 17.7 16.1 15.7 18.8 15.5
C430E 5.1 8.0 8.2 7.0 6.1 0.9
C439J 15.4 15.7 14.0 13.5 NA 14.4
C447A 11.5 11.4 9.5 13.6 13.4 13.5
C449C 17.9 18.5 16.2 17.6 19.0 19.9
C459Z 17.2 17.2 16.8 19.0 19.4 17.8
C629X 18.5 16.4 16.6 16.4 18.8 18.6
C649I 18.4 18.2 17.2 17.8 18.5 16.3
C659M 18.8 18.4 18.2 19.4 19.3 19.1
C929I 19.1 18.7 18.4 19.0 19.3 18.2
2023-04-19 2023-04-20 2023-04-21 2023-04-22 2023-04-23 2023-04-24
0016A 7.5 6.6 12.7 12.7 13.6 11.5
0076 10.0 10.2 13.8 12.7 15.1 14.1
0149X 4.2 5.3 8.2 11.0 9.4 10.5
0200E 10.2 11.2 12.0 11.9 12.4 11.5
0252D 8.6 11.0 11.1 11.6 12.0 12.0
0324A 3.7 2.9 6.2 6.1 6.7 9.4
0367 4.6 5.1 6.8 11.1 7.8 10.0
0372C 5.4 6.1 7.6 12.3 11.0 10.5
1002Y 3.4 4.9 4.1 7.9 8.1 9.0
1014 7.5 10.8 9.1 11.5 10.4 11.4
1014A 8.5 11.8 9.9 12.3 11.3 12.3
1024E 8.8 10.6 8.6 11.0 11.0 10.5
1037Y 4.9 8.2 6.0 8.1 9.2 8.3
1041A 7.4 9.9 8.2 11.0 11.6 10.6
1050J 5.4 9.1 6.8 9.0 10.1 9.6
1057B 9.7 11.5 10.0 11.4 12.2 12.7
1078I 4.5 7.3 6.6 8.2 10.5 10.5
1082 6.0 8.6 10.5 10.5 10.4 10.0
1083L 9.2 10.7 10.2 12.0 12.8 12.8
1109 7.7 10.0 12.3 12.8 11.8 13.2
1111 9.0 11.6 11.4 12.5 12.5 12.6
1111X 9.8 11.4 11.6 12.5 12.5 12.5
1159 7.6 10.0 12.9 10.5 10.6 12.3
1183X 9.0 10.1 12.8 12.4 13.0 13.0
1207U 6.4 9.0 11.2 7.5 12.5 11.8
1208H 11.4 10.8 12.9 10.8 13.3 13.2
1210X 11.2 11.1 11.5 10.7 12.6 12.6
1212E 7.3 9.1 9.1 9.1 12.2 12.0
1221D 5.3 4.8 3.9 0.6 4.5 4.6
1249X 10.0 9.7 10.5 9.3 11.2 10.8
1283U 11.2 9.5 11.5 10.2 13.8 13.3
1331A 9.3 8.6 9.0 9.8 12.2 12.2
1351 12.0 10.7 11.6 11.5 13.1 13.8
1387 10.4 12.4 11.4 11.8 14.4 14.9
1387E 6.4 9.9 8.5 9.4 13.6 14.0
1393 9.4 11.5 10.9 10.9 13.3 13.5
1400 11.7 11.5 9.5 9.1 12.8 13.3
1428 7.1 9.5 6.4 7.1 12.0 12.1
1473A 6.4 10.1 7.0 9.4 11.8 11.8
1475X 8.2 9.4 7.7 9.7 12.7 13.8
1484C 9.7 10.5 8.4 9.6 14.5 13.9
1495 9.8 9.6 7.9 8.7 13.3 12.6
1505 7.6 4.8 6.1 5.6 10.6 11.6
1542 3.9 3.5 3.5 0.1 4.7 5.6
1549 6.5 6.6 7.3 6.2 11.0 9.9
1631E 5.2 3.8 6.2 2.6 9.0 8.4
1690A 7.2 7.0 6.9 7.4 13.8 13.1
1700X 4.6 4.3 3.7 3.7 10.7 10.5
1735X 0.5 -1.3 0.1 1.8 9.5 9.2
2030 3.0 4.7 5.1 7.9 6.5 8.6
2117D 6.1 3.0 3.7 6.2 4.9 8.7
2150H 5.8 6.7 4.8 2.3 3.1 4.0
2235U 3.7 5.6 3.4 3.8 6.8 6.3
2298 4.9 2.3 2.3 2.9 1.6 9.2
2331 -0.2 2.9 3.3 8.0 8.0 9.4
2400E 4.4 5.1 4.9 6.3 5.6 3.6
2422 5.6 7.4 7.8 8.4 8.3 8.5
2444 7.4 7.7 6.6 6.5 4.9 7.7
2462 3.8 6.6 6.2 2.1 1.6 3.1
2465 8.9 9.2 8.3 7.4 6.8 9.5
2491C 4.5 4.7 3.0 -1.4 2.8 3.1
2539 2.3 5.7 5.7 6.4 4.7 5.3
2614 5.6 8.0 7.4 8.1 9.0 8.6
2661 5.0 6.6 4.1 4.6 8.6 8.1
2737E 0.2 0.5 3.8 1.4 7.1 4.2
2755X 5.3 5.5 5.4 7.8 9.6 8.3
2775X 2.5 2.8 4.3 5.5 8.3 5.0
2867 3.1 3.9 4.5 7.0 5.6 4.8
2870 6.6 8.2 7.8 7.3 7.9 8.5
2916A 6.8 5.8 7.6 3.9 6.7 5.4
2946X 5.4 5.5 5.5 5.3 4.3 5.6
3013 -0.3 0.9 1.4 3.4 -0.6 4.4
3094B 9.1 10.2 11.3 11.5 8.7 11.6
3100B 8.5 7.9 7.6 7.5 4.4 6.7
3110C 2.3 3.7 5.0 5.5 4.1 7.5
3111D 3.5 6.5 6.8 4.6 3.1 6.5
3129 7.3 7.2 8.1 10.8 6.3 9.0
3130C -0.1 0.6 1.3 3.2 0.6 5.5
3168D 8.6 9.6 10.1 9.3 6.6 9.9
3175 5.4 5.4 6.8 8.0 4.8 8.0
3191E 8.0 11.1 12.7 9.5 8.0 10.1
3195 10.4 11.6 12.1 12.0 9.1 11.6
3196 10.3 10.6 11.0 11.2 9.5 11.2
3200 9.6 10.6 10.6 12.5 7.8 11.6
3260B 9.8 9.8 12.5 12.0 9.8 12.6
3266A 4.0 6.8 6.8 3.3 2.2 5.1
3338 7.9 9.6 9.8 10.3 7.8 11.4
3365A 10.5 8.8 8.6 11.2 6.6 10.0
3391 11.9 9.2 8.8 10.3 5.9 9.1
3434X 8.8 6.9 8.0 9.9 7.2 7.1
3469A 9.4 10.8 10.8 8.9 10.7 11.3
3519X 13.2 11.8 11.6 9.7 9.5 13.3
3526X 12.8 9.9 10.5 8.1 8.3 12.0
3576X 10.7 10.1 9.1 9.2 10.4 10.2
4061X 9.2 10.0 11.8 10.1 6.8 8.2
4067 7.2 5.8 9.2 9.7 4.9 7.8
4090Y 7.1 4.7 6.8 7.4 3.2 5.9
4103X 6.9 4.2 12.6 11.8 7.2 8.9
4121 7.9 8.4 12.1 13.3 8.0 10.5
4147X 8.4 9.0 11.3 11.0 5.6 8.7
4148 9.0 9.1 10.3 10.7 7.2 9.3
4220X 7.9 6.8 7.1 9.5 5.3 7.4
4244X 8.6 9.2 10.3 11.7 7.0 9.7
4267X 8.6 8.4 NA 10.5 8.5 9.8
4358X 11.3 12.7 12.6 11.5 10.0 12.1
4386B 13.4 13.7 12.1 9.9 9.2 10.6
4410X 10.9 7.4 8.9 9.8 7.8 9.8
4452 10.0 10.9 11.4 10.7 10.1 12.8
4511C 9.2 9.9 9.3 10.2 8.9 10.7
4549Y 12.2 11.9 15.3 13.6 14.2 15.5
4560Y 11.1 10.0 10.9 10.0 12.0 14.7
4642E 11.0 11.0 12.9 13.7 13.1 14.4
5000C 16.3 15.1 14.4 15.7 15.7 17.2
5047E 4.4 6.1 6.1 12.0 6.0 5.7
5181D 9.4 12.5 12.2 13.6 8.4 11.1
5192 12.6 10.4 13.2 10.7 8.5 11.5
5246 10.7 9.7 11.5 12.0 10.2 13.7
5270B 14.6 11.4 13.0 11.2 10.6 14.7
5298X 8.5 9.1 10.1 11.6 6.5 8.5
5390Y 10.3 9.6 10.4 11.2 8.9 11.1
5402 8.7 9.9 10.9 12.3 6.8 9.5
5427X 12.8 11.9 13.1 12.3 11.2 14.9
5514 8.5 8.0 8.6 9.7 6.4 8.2
5530E 10.2 7.5 7.5 9.2 6.2 6.2
5582A 12.9 9.4 NA 11.3 8.9 10.9
5612B 12.3 8.2 9.7 10.0 6.9 9.1
5641X 11.2 9.7 14.0 13.8 8.7 NA
5704B 8.3 7.2 7.4 11.8 8.3 10.2
5783 10.7 11.2 14.2 13.6 11.0 14.0
5796 10.5 11.0 14.2 13.8 10.5 12.2
5860E 12.0 9.6 12.9 13.8 11.9 14.3
5910 13.2 11.2 16.8 16.7 11.2 13.4
5911A 11.9 9.6 10.1 9.1 7.5 9.8
5960 10.6 8.3 15.0 12.1 10.0 11.1
5972X 16.4 15.0 15.8 16.8 13.3 16.3
5973 17.0 14.7 16.8 16.9 14.6 16.9
5995B 14.3 13.7 14.1 14.6 12.9 17.1
6000A 16.3 14.4 12.9 16.2 16.8 15.5
6001 15.9 15.0 13.1 15.4 13.5 12.1
6058I 16.2 14.4 12.6 15.9 13.4 14.5
6106X 12.3 8.2 9.5 10.6 7.9 9.2
6155A 13.4 11.0 10.7 14.8 16.9 13.7
6156X 12.4 11.1 11.5 15.8 16.0 15.3
6205X 15.0 13.1 13.6 13.7 NA 15.3
6277B 16.8 16.0 15.3 16.6 16.2 16.1
6293X 13.9 13.6 11.5 16.1 14.2 11.7
6302A 8.2 10.8 12.1 12.2 11.0 13.6
6325O 14.4 14.6 12.9 15.8 14.7 13.6
6367B 7.9 12.1 10.5 11.3 12.8 12.7
7002Y 13.8 15.0 13.4 16.2 14.5 15.6
7012C 13.5 14.8 15.0 15.2 14.8 15.3
7031 13.5 12.0 12.0 12.0 12.5 16.6
7031X 12.8 11.0 11.3 11.6 11.8 11.7
7096B 6.7 8.4 10.7 11.4 11.5 13.8
7119B 3.0 6.6 9.7 9.2 7.5 8.5
7145D 6.8 9.3 10.6 11.9 13.6 12.6
7178I 11.8 12.4 11.8 13.4 13.1 13.7
7209 9.9 13.3 11.3 12.5 14.2 13.0
7228 11.2 10.9 9.6 11.5 12.1 12.4
7247X 3.1 4.7 6.3 8.1 10.6 9.0
7275C 3.3 6.1 6.8 8.4 10.8 11.4
8019 10.0 10.8 11.2 11.5 13.9 13.3
8025 9.5 11.1 11.3 11.8 14.4 15.2
8050X 8.7 7.7 15.3 13.2 10.8 13.7
8096 6.0 5.9 7.6 7.6 4.1 7.7
8175 4.8 6.6 8.2 10.7 5.0 7.1
8177A 2.3 6.3 11.5 10.2 4.8 8.9
8178D 5.8 6.6 10.2 11.9 8.1 10.8
8293X 8.4 9.4 10.2 11.7 12.4 12.7
8309X 3.3 3.5 5.9 8.5 6.0 7.8
8325X 8.8 9.4 10.0 10.4 12.0 11.6
8368U 2.4 3.2 4.6 6.5 2.2 6.9
8414A 9.8 9.1 11.1 12.3 10.5 12.7
8416 11.6 11.4 13.8 13.6 13.0 14.1
8416Y 11.6 11.4 13.8 13.6 12.9 13.9
8489X 4.3 5.1 7.3 6.5 4.2 7.0
8500A 10.1 10.0 12.9 13.9 12.8 14.4
9001D -1.6 0.6 -1.4 6.5 8.8 8.7
9019B -0.4 2.1 0.9 8.7 9.6 9.6
9051 0.2 3.9 1.8 8.4 10.7 9.8
9091O 0.8 3.6 2.2 5.4 10.0 8.3
9091R -0.4 2.5 1.8 4.5 8.5 8.3
9111 1.7 6.5 5.9 9.2 10.4 9.7
9170 5.3 5.4 5.9 9.2 6.2 12.7
9208E 5.8 7.6 9.0 6.9 7.1 4.5
9244X 5.8 6.3 6.1 8.6 7.1 6.7
9262 4.7 7.9 7.2 11.5 8.8 9.0
9263D 2.2 4.2 4.4 7.5 5.6 8.8
9263X 4.2 5.6 5.6 8.3 7.7 7.9
9294E 7.6 8.5 7.5 10.3 6.9 10.3
9381I 5.3 4.3 5.1 7.9 2.0 6.5
9390 6.8 5.2 5.6 7.5 3.7 9.8
9394X 6.5 6.2 7.6 11.0 6.3 11.8
9434 10.1 9.9 11.4 13.7 10.7 13.7
9434P 9.8 9.3 10.9 14.2 11.7 14.0
9563X 5.0 10.5 10.5 8.7 8.1 7.7
9569A 8.0 8.1 10.0 13.5 12.4 12.5
9573X 6.9 5.7 6.4 11.3 9.6 12.9
9585 -0.4 1.5 3.4 3.4 2.9 1.6
9619 3.7 2.5 4.0 6.6 3.6 3.8
9698U 3.7 6.7 8.4 8.7 6.1 6.4
9771C 7.0 7.4 10.3 12.8 8.8 12.8
9784P 3.8 3.0 3.5 4.1 3.1 2.5
9898 7.2 7.7 9.0 10.4 9.0 8.6
9981A 11.4 8.1 14.1 14.3 13.4 15.0
9990X 2.2 3.8 4.9 5.0 2.8 1.6
B013X 4.6 4.4 9.1 10.7 9.1 8.2
B228 11.3 11.8 14.0 15.1 14.3 15.4
B248 7.3 9.4 10.1 9.9 10.4 12.1
B278 7.1 6.8 9.2 10.2 11.5 12.1
B434X 11.3 10.7 12.4 13.5 13.0 14.3
B569X 13.2 13.6 14.3 15.3 15.0 16.0
B691Y 5.1 6.5 11.0 10.3 13.0 12.0
B893 7.2 5.4 12.9 12.0 12.6 14.2
B954 11.6 8.8 13.4 12.3 12.1 14.1
C029O 17.7 16.7 14.9 17.2 16.0 17.2
C129Z 17.8 18.6 17.7 18.3 18.8 18.8
C139E 16.5 17.8 17.1 17.7 18.1 17.7
C229J 18.9 18.3 18.1 18.3 18.7 18.4
C249I 18.3 16.8 15.1 17.4 16.7 17.0
C329Z 19.4 18.4 17.3 18.1 19.5 18.8
C429I 17.0 17.5 16.4 16.2 18.3 15.8
C430E 5.4 5.3 2.6 3.9 5.7 8.9
C439J 14.9 14.5 13.7 14.9 15.7 13.9
C447A 13.3 12.0 10.0 10.6 12.8 11.8
C449C 19.2 18.1 17.7 18.0 19.0 17.0
C459Z 17.4 18.0 17.4 18.3 18.5 17.7
C629X 18.1 17.3 16.1 16.7 18.0 16.2
C649I 17.7 16.4 15.9 15.9 18.5 17.6
C659M 19.0 18.6 18.3 18.4 19.2 18.8
C929I 19.2 19.2 18.0 18.2 19.5 19.1
2023-04-25 2023-04-26 2023-04-27 2023-04-28 2023-04-29 2023-04-30
0016A 12.7 11.9 11.5 12.4 13.7 14.9
0076 14.3 14.4 14.1 14.4 15.3 16.6
0149X 11.3 11.8 10.9 11.3 13.6 13.7
0200E 12.4 13.3 14.0 16.4 15.3 13.7
0252D 12.0 13.7 13.5 13.3 16.1 15.0
0324A 9.9 10.7 12.6 10.8 11.1 11.5
0367 9.5 11.4 11.8 10.4 14.7 14.5
0372C 9.6 11.9 13.3 12.4 14.2 12.5
1002Y 13.1 13.7 12.8 11.3 13.8 12.7
1014 14.8 15.2 15.3 14.6 15.1 13.9
1014A 15.7 16.2 16.3 15.4 16.2 14.9
1024E 13.5 13.6 14.0 14.0 13.0 11.5
1037Y 11.3 12.2 11.9 12.4 11.8 10.6
1041A 14.7 14.4 14.8 13.5 15.3 13.7
1050J 14.1 14.8 13.7 12.5 15.0 13.7
1057B 14.2 15.4 14.5 14.2 14.2 12.7
1078I 12.7 13.5 12.5 11.1 13.5 11.8
1082 14.6 15.4 14.6 13.1 14.7 13.3
1083L 14.8 15.3 15.0 14.0 14.3 13.4
1109 14.8 16.2 14.8 13.8 15.2 14.5
1111 14.5 15.0 14.0 13.0 14.2 13.6
1111X 15.0 15.5 13.4 13.4 14.4 13.6
1159 14.6 16.1 14.6 14.5 14.1 14.1
1183X 15.5 15.7 14.4 14.5 14.7 14.6
1207U 13.9 15.5 14.3 14.2 14.7 14.3
1208H 15.8 15.7 15.3 14.5 15.1 14.9
1210X 15.3 15.1 14.1 13.4 14.0 13.9
1212E 14.6 14.7 13.8 12.3 13.7 12.5
1221D 7.1 8.3 9.1 9.1 6.6 5.0
1249X 13.9 15.0 14.6 13.6 13.5 12.8
1283U 15.6 15.4 14.9 14.3 14.7 14.5
1331A 16.0 16.2 14.5 14.1 13.8 14.0
1351 14.8 15.0 13.8 13.2 13.2 12.8
1387 15.8 16.2 14.9 13.9 13.5 14.3
1387E 14.6 14.6 12.8 11.4 11.9 12.2
1393 13.8 14.4 13.1 13.3 12.3 13.6
1400 13.6 13.7 12.9 13.5 13.7 12.0
1428 11.9 12.9 10.9 11.0 11.0 10.6
1473A 11.8 11.2 10.0 11.0 14.2 11.6
1475X 13.5 14.0 13.1 13.4 13.0 12.4
1484C 13.0 14.4 12.9 12.8 14.7 11.9
1495 12.1 13.9 NA 13.5 12.9 12.9
1505 11.0 14.2 11.9 11.6 8.7 11.3
1542 7.0 8.1 9.3 9.1 7.2 3.4
1549 10.2 13.7 12.7 11.8 12.8 10.0
1631E 6.9 10.4 9.4 10.3 11.2 8.4
1690A 11.4 14.6 13.5 12.7 12.6 11.4
1700X 9.2 11.4 10.9 10.8 9.3 8.7
1735X 7.2 7.9 7.4 6.7 6.1 5.8
2030 10.0 8.0 9.8 10.4 10.9 7.7
2117D 7.8 7.6 8.5 10.9 8.7 7.3
2150H 7.3 8.1 9.5 12.7 6.7 4.8
2235U 7.6 9.0 7.0 10.8 8.4 6.1
2298 5.3 NA NA 10.4 7.1 3.6
2331 7.5 9.0 9.5 6.8 10.1 6.5
2400E 6.0 8.5 9.8 10.9 10.2 7.3
2422 9.7 10.8 12.8 13.0 13.4 9.4
2444 8.3 8.8 11.8 13.1 11.7 8.8
2462 6.5 8.2 11.1 12.6 8.3 5.4
2465 10.1 10.7 13.7 17.2 12.2 8.6
2491C 7.0 6.9 11.5 10.7 7.0 5.3
2539 7.5 8.7 10.8 10.5 9.7 6.2
2614 11.1 10.3 14.3 12.5 13.3 10.3
2661 10.0 9.8 10.1 11.2 9.6 7.1
2737E 7.3 6.0 9.2 7.8 10.0 4.8
2755X 9.3 9.1 12.4 10.3 12.1 7.9
2775X 9.9 6.2 10.5 7.9 9.5 7.0
2867 6.5 7.3 10.3 11.0 10.1 10.0
2870 10.3 10.7 12.7 13.5 13.9 11.9
2916A 7.9 8.1 11.5 12.2 9.8 9.5
2946X 7.5 8.0 9.5 10.6 9.4 10.3
3013 3.7 3.8 4.8 7.2 6.5 4.9
3094B 12.9 13.6 14.5 17.6 17.9 11.5
3100B 9.7 9.7 11.2 17.4 12.5 11.4
3110C 8.1 8.2 7.7 10.5 11.6 8.1
3111D 7.6 9.4 10.4 14.3 8.4 5.7
3129 10.1 10.0 11.9 13.8 14.1 12.8
3130C 5.8 4.9 5.3 8.1 7.2 6.0
3168D 11.8 11.7 12.9 14.8 14.0 12.8
3175 8.0 9.0 10.7 13.0 12.2 10.4
3191E 12.2 13.7 15.7 18.2 16.0 11.9
3195 13.3 13.5 15.7 18.7 16.3 14.1
3196 13.0 14.2 15.8 18.5 16.8 13.8
3200 12.3 14.2 15.2 18.5 18.2 13.8
3260B 13.9 14.3 13.8 17.3 17.4 14.8
3266A 7.3 9.0 11.7 13.7 9.0 6.2
3338 10.7 13.3 14.6 16.4 16.4 11.8
3365A 10.7 11.2 13.9 15.5 11.8 12.2
3391 11.0 11.3 15.3 17.1 13.0 14.8
3434X 9.0 10.1 11.2 13.6 14.3 13.2
3469A 12.9 12.3 14.4 20.5 17.2 15.3
3519X 13.5 13.4 17.4 19.5 17.1 17.4
3526X 12.8 12.0 13.9 15.8 15.3 14.6
3576X 11.7 10.2 15.4 18.8 15.5 14.1
4061X 11.7 11.4 14.5 17.8 16.3 12.1
4067 11.4 11.6 11.5 16.3 15.5 12.0
4090Y 7.9 8.7 9.7 16.2 14.2 9.3
4103X 12.7 11.8 9.9 14.7 17.3 12.0
4121 12.4 12.0 13.1 16.9 19.0 15.3
4147X 11.2 11.0 12.8 18.1 17.6 14.1
4148 12.5 11.6 12.9 17.9 16.2 13.4
4220X 9.1 8.7 10.4 14.9 13.6 12.5
4244X 10.6 11.2 13.7 15.1 17.8 14.6
4267X 13.4 13.3 14.1 19.2 16.7 12.9
4358X 14.2 13.9 15.6 19.5 17.2 14.6
4386B 14.4 14.7 17.9 20.0 15.6 12.3
4410X 9.8 9.3 13.9 15.0 16.7 13.5
4452 13.5 11.4 14.4 17.7 16.7 14.1
4511C 11.2 11.3 15.8 17.3 15.8 12.4
4549Y 18.0 18.2 17.3 17.0 19.1 17.1
4560Y 18.1 20.4 19.2 18.4 15.2 14.0
4642E 15.8 14.1 16.2 16.8 18.3 16.3
5000C 17.0 18.2 17.2 18.2 18.7 17.3
5047E 7.0 7.9 8.2 14.3 15.2 13.3
5181D 12.5 12.9 13.8 17.3 15.7 14.2
5192 14.1 14.7 16.8 20.8 16.1 13.8
5246 15.6 17.2 18.2 21.0 16.6 15.0
5270B 15.9 17.6 20.6 22.5 18.4 17.2
5298X 9.8 10.1 11.8 15.2 17.3 13.7
5390Y 14.2 15.6 17.5 19.6 16.6 13.2
5402 10.7 10.2 12.5 16.7 17.6 13.8
5427X 17.8 19.1 22.2 20.7 16.5 16.2
5514 10.6 11.0 12.0 17.3 17.0 12.5
5530E 7.5 8.8 10.7 14.4 16.3 12.2
5582A 13.0 NA 15.8 20.3 17.9 14.8
5612B 12.0 11.2 16.8 19.5 13.7 13.4
5641X 13.3 12.2 15.9 19.4 18.4 14.7
5704B 10.3 11.7 12.2 14.6 12.8 11.6
5783 14.1 15.7 16.6 19.1 18.7 17.2
5796 13.1 14.0 17.0 17.7 18.0 14.8
5860E 16.5 16.6 17.1 16.4 17.5 16.0
5910 12.9 12.9 16.8 19.2 18.0 17.9
5911A 13.3 13.6 17.1 19.5 17.5 12.8
5960 11.3 12.5 14.8 15.7 16.3 13.3
5972X 16.3 18.4 21.3 NA 18.5 16.8
5973 17.3 18.1 21.2 19.1 19.1 18.4
5995B 17.5 20.6 20.2 16.8 16.6 15.3
6000A 15.0 17.0 16.9 18.5 19.7 19.3
6001 14.9 15.2 17.2 17.3 18.0 16.6
6058I 14.5 15.8 16.8 NA NA NA
6106X 11.5 12.0 16.7 20.2 16.5 13.6
6155A 14.0 15.5 15.0 16.6 18.7 18.2
6156X 13.9 16.8 15.2 18.4 19.3 18.6
6205X 15.2 14.2 14.2 17.6 18.6 16.3
6277B 16.5 17.3 14.4 19.5 19.7 19.7
6293X 12.8 12.4 12.9 14.7 17.4 17.2
6302A 14.7 16.6 16.4 16.5 17.5 13.8
6325O 14.2 15.2 15.7 18.8 18.1 18.2
6367B 12.1 16.1 13.6 15.2 17.0 19.2
7002Y 14.9 16.5 15.8 17.9 19.4 20.0
7012C 16.1 16.5 16.8 18.1 19.8 18.7
7031 13.0 13.3 17.5 16.5 17.5 17.1
7031X 13.1 13.7 17.7 15.2 18.4 17.3
7096B 13.0 15.7 12.8 14.4 17.8 15.7
7119B 10.4 12.7 10.6 12.1 18.2 14.9
7145D 12.8 15.0 12.5 13.6 18.1 15.3
7178I 14.6 16.7 16.1 15.3 18.7 16.2
7209 13.1 16.7 13.2 NA 19.2 17.8
7228 13.5 14.2 14.6 14.2 17.7 15.4
7247X 9.4 12.2 9.1 11.2 14.0 12.3
7275C 10.3 12.1 9.8 11.5 15.2 14.0
8019 12.7 15.9 13.8 14.9 18.2 16.2
8025 14.4 16.4 13.9 14.7 19.4 18.2
8050X 11.9 14.4 12.5 14.1 18.0 15.6
8096 8.5 9.1 10.2 14.7 14.2 11.1
8175 10.2 10.1 10.2 16.2 15.1 10.9
8177A 11.9 12.9 11.9 13.1 14.6 NA
8178D 13.7 14.2 11.1 14.2 17.3 12.9
8293X 12.6 13.2 13.5 13.8 16.1 13.8
8309X 8.3 9.0 8.5 11.4 13.1 13.2
8325X 13.9 12.1 11.6 12.7 15.2 14.1
8368U 6.6 7.6 8.3 10.8 11.8 10.6
8414A 13.3 14.1 13.3 13.8 16.2 14.4
8416 15.2 16.3 15.2 15.5 17.0 16.1
8416Y 15.2 16.2 15.0 15.5 17.0 15.9
8489X 8.4 8.0 7.4 12.0 12.4 9.8
8500A 15.0 15.2 14.3 14.9 17.1 16.2
9001D 8.1 11.3 9.8 5.0 9.7 6.6
9019B 9.7 11.0 10.0 5.5 12.3 8.3
9051 10.8 13.0 11.6 7.9 13.6 9.1
9091O 11.2 13.0 10.5 8.3 11.0 8.6
9091R 10.8 13.2 10.5 7.8 13.2 8.6
9111 9.4 10.0 11.4 11.3 11.6 8.1
9170 12.1 14.7 13.0 12.8 15.5 12.6
9208E 9.5 9.9 12.6 15.3 13.3 7.9
9244X 10.1 10.9 11.1 13.6 12.2 11.2
9262 12.4 12.9 12.9 13.4 15.7 12.7
9263D 11.7 12.1 10.8 11.6 13.0 11.2
9263X 10.9 10.6 11.2 11.8 12.8 8.2
9294E 12.1 12.9 13.9 16.4 14.0 12.9
9381I 6.1 7.0 9.0 10.9 9.5 8.2
9390 7.4 9.1 10.1 13.5 11.6 8.0
9394X 9.3 10.9 12.7 12.3 13.4 10.2
9434 14.5 15.9 14.6 16.7 16.4 14.5
9434P 14.9 16.4 15.3 16.5 16.2 14.1
9563X 10.5 11.4 13.3 14.6 12.0 8.8
9569A 13.8 14.8 13.9 13.7 14.3 13.9
9573X 11.7 12.7 12.1 12.2 12.7 13.8
9585 5.1 6.3 8.4 7.8 7.5 3.9
9619 7.1 9.4 12.8 9.7 9.5 9.4
9698U 10.9 12.0 11.6 13.5 13.3 11.0
9771C 13.1 13.7 13.5 14.2 14.0 12.8
9784P 7.3 7.5 8.1 8.4 9.2 10.2
9898 12.3 12.1 11.9 13.4 14.3 11.4
9981A 13.6 15.2 15.7 16.8 15.2 17.4
9990X 8.3 8.1 8.5 10.4 8.1 8.2
B013X 8.8 13.2 10.0 14.1 16.5 13.1
B228 17.0 16.6 16.8 16.9 20.2 18.1
B248 14.4 12.4 11.9 15.2 12.5 10.6
B278 12.9 15.0 11.7 12.3 15.9 14.0
B434X 15.7 15.3 NA NA 15.6 15.9
B569X 15.8 16.3 16.8 17.3 16.7 17.1
B691Y 14.0 12.1 12.2 11.1 15.6 15.2
B893 15.3 12.6 10.4 14.3 14.7 13.4
B954 14.9 13.1 14.1 15.4 17.9 15.9
C029O 18.3 17.5 18.5 17.6 18.6 19.5
C129Z 17.7 18.0 17.7 17.7 18.5 19.1
C139E 17.7 17.0 16.8 17.0 18.1 20.0
C229J 18.6 18.7 19.8 18.4 20.1 21.6
C249I 19.6 18.1 18.3 16.8 18.6 20.6
C329Z 18.2 18.6 17.8 17.7 19.1 20.0
C429I 15.6 16.2 17.5 16.1 17.3 19.8
C430E 10.5 9.1 8.9 10.1 10.4 10.4
C439J 13.9 14.5 14.5 14.8 15.3 17.2
C447A 12.4 13.0 13.2 13.2 15.6 18.6
C449C 17.5 18.2 18.4 18.3 19.3 20.6
C459Z 16.9 18.3 17.9 17.9 18.5 18.8
C629X 17.8 17.8 18.4 18.1 18.3 19.2
C649I 18.0 17.9 17.7 16.9 20.3 20.4
C659M 19.2 19.6 19.3 19.1 19.8 20.2
C929I 19.1 19.5 19.2 17.9 20.2 20.1
$predicted
2023-04-01 2023-04-02 2023-04-03 2023-04-04 2023-04-05 2023-04-06
0016A 9.9594837 8.23538680 8.0609637 6.0187441 4.97782251 6.6670249
0076 10.0215617 7.88941128 8.0087107 6.1532463 4.72591569 6.5594992
0149X 7.6324956 5.96862980 6.3886159 4.4448138 3.08090670 5.3052392
0200E 7.0392614 5.48329897 5.5491449 3.4587940 2.24307353 4.3073198
0252D 9.5805934 7.46353403 7.7100913 5.7562142 4.46801648 6.1273792
0324A 4.9730000 3.83015143 4.0593186 2.0179871 0.84814441 3.1408796
0367 9.1751779 7.20431247 7.4613510 5.6901074 4.45539540 6.2112425
0372C 8.9954518 6.97309136 7.2723024 5.4352022 4.20551002 5.9660353
1002Y 8.7333020 7.48599288 7.0456656 4.6330765 2.34073356 4.9224085
1014 10.2394134 9.00684460 8.1341346 5.2656853 3.14722049 5.6732329
1014A 10.0788532 8.86234042 7.9896321 5.1211836 3.43018943 5.5448238
1024E 8.1244966 6.64566409 5.8390843 3.5823171 1.29723588 3.8630392
1037Y 6.9346928 5.05633284 3.7971728 2.4118706 -0.22062294 2.3504025
1041A 9.8989083 8.77404178 7.9151007 5.2908597 3.40319945 5.7828225
1050J 9.1694323 8.08371771 7.1109676 4.6601387 2.68896256 5.1028144
1057B 9.5318238 8.06359430 6.9668441 4.7924804 2.69493325 4.9904764
1078I 8.7323110 6.94081433 5.3778200 3.8407297 1.45969887 3.9328212
1082 10.0248229 8.91343237 7.9347226 5.4941537 3.66535274 5.7940901
1083L 10.0420937 8.54485644 7.2119590 5.3611215 3.30866780 5.2802082
1109 10.4703982 8.90390817 7.3395967 6.0077165 3.59447350 5.4253340
1111 9.9512322 8.23543609 6.4012614 5.2618165 2.86520380 4.6798453
1111X 10.0012543 8.21042503 6.3887558 5.2368054 2.85282936 4.6673408
1159 10.4212671 8.55358296 6.3025583 6.3242201 3.13845447 5.0391865
1183X 10.4998683 8.52080285 5.9994942 6.5704643 2.97658462 4.9125386
1207U 10.2013001 7.84353702 6.0094657 7.3790552 3.75964534 5.5292607
1208H 10.1696469 7.74985570 5.3996264 6.9838849 3.23760051 4.9324418
1210X 9.2084146 6.75151752 4.8270168 6.4305863 2.93026779 4.5253018
1212E 9.0400674 6.68927673 5.0854801 6.7844247 3.47891117 4.7994854
1221D -2.2406318 -5.75036616 -4.6857980 -3.6400839 -3.66731687 -0.8824227
1249X 7.4160168 4.94765562 3.5133735 4.9763118 2.27236494 3.9260035
1283U 9.1069751 6.46239533 5.0385790 6.9055934 3.69520068 5.0567708
1331A 9.2576292 6.08974361 5.5956108 7.4774505 4.45040716 5.4516352
1351 8.3796117 5.05037313 5.0439194 6.7230747 4.32199697 5.3925852
1387 8.3456027 5.13054859 5.5462186 7.0045818 5.13318261 5.9531511
1387E 8.4087074 5.29445264 5.7009114 7.1593295 5.34473834 6.2883937
1393 8.6345173 5.44599572 6.0307825 7.4168043 5.38834996 6.0215644
1400 6.9833887 3.51970910 4.2586478 5.8284856 4.25257838 5.1850004
1428 6.0406881 2.74656902 3.6182059 4.9070525 3.48346583 4.4973803
1473A 8.3377358 5.08219870 5.6475118 7.0142837 5.42770240 6.2439216
1475X 7.0735474 3.73780376 4.3856723 5.7477905 4.16433207 5.1160203
1484C 7.9976849 4.62803295 5.2921674 6.8337223 4.98540143 5.9801558
1495 6.8414109 3.31748586 4.1632830 5.7269221 3.94095662 4.9805374
1505 5.8356886 2.46070388 3.2222391 4.3871069 2.90699938 4.1232138
1542 -3.0896437 -6.25464802 -4.5955742 -4.6659113 -2.82986632 -1.4074077
1549 5.3150411 2.01562252 2.0650314 3.5721888 1.36891660 2.8597695
1631E 2.6730028 -0.84410755 0.2222399 1.4196709 0.16161568 1.6352375
1690A 7.7035136 4.46876243 5.0206398 6.5088875 4.67213420 5.4988183
1700X 5.8261439 2.42008466 3.3374638 4.7596926 3.19185721 4.2602339
1735X 4.3160732 0.74156383 1.8640001 3.3772542 1.79690772 3.1642511
2030 2.2175353 -0.37100941 -2.9476207 -1.9203942 -3.78107769 -0.7937244
2117D 5.4557771 1.91070871 -0.3643559 1.4034636 -2.35135127 1.6086550
2150H -2.6581054 -4.23265372 -2.1436001 -1.2104803 -0.97060900 2.2503829
2235U 0.6024027 -2.75386133 -4.7118697 -3.7996404 -6.96562323 -2.9338683
2298 2.3575096 -0.18412485 -1.6731490 -0.3954268 -2.50973301 0.3211911
2331 3.2365771 0.62468320 -1.8820520 -0.6800931 -3.22190344 -0.2346712
2400E 3.4674152 0.38367802 -1.2081698 0.3389579 -2.50837675 0.7243585
2422 4.5196311 0.70275366 -0.5765738 1.2557591 -2.79753986 0.8709027
2444 3.3724930 0.29671608 0.8745799 3.0345756 1.21995498 4.0723804
2462 -3.1599851 -4.70210038 -2.3531734 -1.6652369 -0.76451776 2.2901264
2465 4.2455740 1.09579488 0.6207261 3.0431737 0.74539574 4.0598015
2491C -3.6270058 -9.02980470 -5.0571992 -5.0621994 -7.45524393 -2.1485110
2539 3.7584238 0.29380984 -0.5512736 1.0766916 -2.01156375 1.2678172
2614 5.0316912 0.92705631 0.7527819 3.1256618 -0.46526023 2.1265265
2661 2.6972949 -0.25245914 -0.1431765 1.0024812 -0.61270275 1.4892237
2737E 1.7382216 -1.30471866 -0.1923667 0.6313070 -0.61379643 1.5231541
2755X 4.4232470 0.88556776 0.6876402 2.2876240 -0.41434496 1.9705488
2775X 3.4008741 -0.15335209 0.3954809 1.7348396 -0.03065895 1.8044053
2867 5.2853337 1.72095238 1.5195380 4.1010146 0.92992024 3.3534492
2870 4.9170745 1.27542568 1.2653587 3.9252129 0.55364011 2.9331446
2916A 4.9757851 1.08216947 1.2658892 3.8771083 0.93275279 2.5688538
2946X 5.9520825 2.32959278 2.3751389 5.1171859 2.13372999 3.9363871
3013 3.3326615 0.66253064 -2.1683761 -1.2540486 -3.26209738 0.1431966
3094B 6.5961149 2.71538844 1.1163847 4.1854614 1.80252020 4.7912129
3100B 9.3052496 5.14201591 2.8584868 6.4092372 3.06551587 5.8536049
3110C 4.1544875 0.93158613 0.1459225 2.7480906 0.78396670 4.0858281
3111D 0.5649315 -1.81204454 -1.1102757 0.8608767 0.15349039 2.9019762
3129 8.1337967 4.02420233 2.1355389 5.3133989 2.36395250 5.6926758
3130C 3.9455279 1.11382882 -0.5319557 1.2712016 -0.73965632 2.3136078
3168D 7.1421604 3.20798110 1.1857690 3.9580634 1.20195545 4.6493860
3175 8.4852203 4.12715835 2.1709305 5.3558290 2.48795839 5.7431709
3191E 4.4679508 1.28990043 0.6997291 3.1040649 1.06541302 4.3562105
3195 7.4775434 3.61047598 1.7715259 4.8882057 1.99563727 5.1842321
3196 7.3341717 3.62616800 1.8799849 4.9918066 2.23070641 5.2078544
3200 7.8585779 4.18797179 2.0350188 5.3191685 2.36057188 5.3462614
3260B 8.7563835 5.13262013 2.6884320 6.3810149 3.51449608 5.7052484
3266A 0.1384684 -2.16590794 -0.5723821 0.9367227 0.32084383 3.5204421
3338 6.4617898 2.95006820 1.9428434 4.7664978 2.26006661 5.1359658
3365A 9.7369434 6.81010793 3.7327854 7.4047266 4.41390517 5.8997707
3391 7.6676286 3.63120078 2.4235815 5.0993654 2.40654362 4.7955350
3434X 8.9411350 6.83570970 4.3289229 9.1346083 4.78767434 6.3261077
3469A 8.4711931 6.97455268 4.6687399 8.8643894 5.23916888 6.3161881
3519X 8.0655621 5.50214148 3.4818081 7.7470318 3.86720158 4.9720462
3526X 8.8531804 6.73506135 4.1360695 8.6284228 4.68342171 5.9014797
3576X 8.2382712 6.97120763 4.9640662 9.0806049 5.49687273 6.3515314
4061X 7.9276511 4.08252003 1.8951257 5.2684607 3.27183345 5.1580974
4067 7.8703335 4.47364557 2.4041263 5.7718039 3.85671510 5.7666175
4090Y 8.3611848 4.18465844 1.8662047 4.8622559 2.79768341 4.5748488
4103X 8.3850361 4.88878255 2.4783222 5.8014281 4.15869935 5.4715779
4121 8.3025823 5.91236223 3.2117832 6.6833375 4.92633736 6.0363989
4147X 8.6722185 5.79468567 3.1088289 6.6455173 5.13195146 5.9654329
4148 9.2210772 6.59113393 3.7085308 7.3128465 6.02753453 6.6706270
4220X 8.4133182 6.30291394 4.1363923 7.4258744 5.18287085 6.0735689
4244X 8.3233577 6.83250304 4.2538258 7.7330021 5.25957879 5.8242063
4267X 9.0174410 8.30691306 5.5807766 8.6468481 6.75905593 7.4397576
4358X 9.4598228 8.54005383 5.3172113 9.4964928 5.89264168 6.7937787
4386B 8.4283851 7.88986754 5.0866519 8.4763008 6.34057306 7.2551856
4410X 9.9318894 9.41019779 6.2885724 10.5401836 6.96238358 7.3864969
4452 10.1447734 9.68288877 6.7347768 10.7754152 6.96905617 7.5826740
4511C 9.5886811 9.05989303 6.7912534 10.0933590 7.01114862 8.0324442
4549Y 12.8241471 12.43827365 9.5373711 12.6416167 9.58734867 9.9195961
4560Y 8.4943114 8.21005556 5.4046507 8.9564971 6.24892293 7.7777950
4642E 12.9085503 12.57183567 9.7843998 12.6076475 9.60851446 9.9812603
5000C 13.8916290 12.51949957 10.0246559 12.4538906 10.18423280 10.8623041
5047E 10.4678613 8.18153638 4.3283178 6.3843542 4.83715038 5.1021127
5181D 10.9661860 7.60397970 4.4738530 6.9525817 5.30085116 5.6437459
5192 7.3691063 4.01390796 0.7455498 4.5430323 2.28723383 3.6868688
5246 9.1609826 6.84951744 3.5024223 6.7854074 5.34603496 5.8253349
5270B 10.4564249 8.72475445 5.0569482 8.0025371 6.16430321 6.3979921
5298X 12.3055106 10.49152827 7.4011839 10.2960132 7.57247363 7.7737107
5390Y 9.0851855 8.06761745 4.5477014 7.6945608 6.25449782 7.0718761
5402 12.6171150 10.85372708 7.6204183 10.9462083 7.58613072 7.8759424
5427X 9.8172190 8.89815434 4.8743092 8.1715999 6.47087360 7.1430722
5514 10.7476006 8.98739467 5.3395224 7.9893887 6.49681599 6.8400106
5530E 11.5087605 9.97997628 6.4277518 8.9701003 7.31652053 7.8103535
5582A 9.4183654 8.39553138 4.6685344 7.8431791 5.91984107 6.8913703
5612B 11.6850936 10.71034358 7.6129394 10.0737675 8.24179073 9.1929916
5641X 12.5242768 11.19561388 8.6182220 11.1661466 8.41122570 9.0690814
5704B 9.0657560 8.95696218 6.6269469 9.7714102 7.49938711 8.8848919
5783 12.8151112 12.10967520 9.4012418 12.2165879 9.35165615 9.5165890
5796 13.2244115 12.17672751 9.4451170 12.1844223 9.46510726 10.0743789
5860E 12.9863319 12.60903499 9.5831908 12.6224909 9.68152537 10.0063441
5910 13.4492292 12.95599807 10.4587412 12.8357125 10.31215701 10.6452741
5911A 7.3594988 7.46903837 3.8158794 7.2380374 4.98711790 6.2228228
5960 13.8302019 13.06769024 10.5770345 13.0198378 10.56456475 10.8870611
5972X 13.5173441 12.73907430 10.3151373 12.7568269 10.17556005 10.3555993
5973 13.5294797 12.72813874 10.2918179 12.7317542 10.15937185 10.2571081
5995B 13.0219093 12.00727001 9.4392462 12.0012434 9.65605461 10.5031580
6000A 16.1472960 13.04689802 10.8443285 11.9361742 11.36367178 11.6169212
6001 14.1928088 13.05784078 10.3632754 12.6899060 10.27940724 10.8367232
6058I 14.2213816 12.67299479 10.2026782 12.5968060 10.16663703 10.6767170
6106X 11.7874379 10.64713247 7.4318116 10.1696443 8.27438720 9.0280502
6155A 14.5301491 12.70543975 10.4295744 12.5130819 10.57504551 10.7643345
6156X 14.1220906 12.23023569 9.9201030 12.1336180 10.23250575 10.5459997
6205X 14.9540030 12.48226729 10.1175863 12.1784520 10.59314677 11.0249320
6277B 16.2139150 12.47949537 10.0624798 11.2504114 11.19164988 11.1459443
6293X 17.8617141 13.96196276 11.7652484 11.6640672 11.05441765 11.2418383
6302A 9.4656607 6.97259798 2.0323541 5.6744378 3.42467569 3.2746458
6325O 17.1436751 13.14006886 11.3504153 11.0168882 11.26945790 10.1767247
6367B 15.1314085 10.85631901 8.3800757 8.3277500 7.49469054 6.9631881
7002Y 17.6022554 13.06027449 11.0443615 9.9128721 10.10295228 9.0103144
7012C 17.1206714 12.71854939 10.6002448 9.0133210 9.57580583 8.1982119
7031 17.1603157 13.04781682 10.6013040 8.9883336 9.43434186 8.0325468
7031X 17.2661764 13.09372249 11.0113382 9.1426015 9.73031964 8.2304516
7096B 11.2808599 6.58515723 4.0095794 5.3328731 3.45342559 3.9318364
7119B 11.6542666 6.73021909 4.2716640 5.6761539 3.78541304 4.0243678
7145D 15.0039965 10.44479890 8.1330963 7.4681174 6.94659129 6.2099605
7178I 16.6497024 12.53452556 10.2572177 8.6427304 9.04001910 7.8268756
7209 14.9641328 10.45691477 8.0417870 7.8393621 6.80514475 6.2530689
7228 16.8488316 12.43706431 10.3286546 8.7993202 9.04757102 8.0338585
7247X 11.5988057 7.07717044 4.6454051 5.4303807 3.67536122 3.9163806
7275C 10.7026081 5.98476691 3.5549494 5.0450651 2.98542090 3.5555312
8019 16.3740284 12.39220569 10.0782330 8.3789238 9.06798571 7.7726024
8025 15.8439158 11.85795079 9.4635179 7.9454712 8.51296254 7.4484952
8050X 15.7345080 12.32870818 9.6951228 8.2313745 9.00267033 7.8640442
8096 4.1447316 0.97456050 -1.8319106 -1.0663477 -2.87822103 0.0919624
8175 9.6582885 5.16737644 3.0880713 4.8030738 2.82891948 3.6526484
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8178D 9.9076238 5.55990148 3.3171920 4.8734545 3.04873556 3.9024927
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8309X 7.6675327 4.12438866 1.9164744 2.2245808 0.70289678 2.6955376
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8414A 14.7325497 11.45653435 9.0242768 7.5351102 8.11211029 7.4003292
8416 14.9577886 11.82694031 8.9835155 7.4974042 8.34635926 7.3938202
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9262 6.2080947 5.06830850 4.4737342 2.6638584 0.24180304 2.9115055
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9294E 7.7100870 6.60275178 6.1316695 4.0868981 1.77895738 4.4346776
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9434 8.2330334 7.10704720 6.6990833 4.9797156 2.43862666 4.7441367
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9619 4.7996831 3.63749227 3.9735153 1.9623162 0.86229430 3.3265580
9698U 3.6593247 2.97297623 3.0855723 0.7843213 -0.37792161 2.2400633
9771C 9.0272999 7.76155683 7.2665666 5.5257316 3.91989057 6.2553644
9784P 2.1065765 1.72301988 1.8080589 -0.1436353 -1.63329670 1.2339821
9898 5.7531985 5.01111607 4.6245916 2.6299915 0.62520419 3.4663417
9981A 11.7542440 9.71397529 8.0642297 6.6195924 5.90444788 7.4270748
9990X 1.2433843 1.03406610 1.1199734 -1.2903709 -2.27297742 0.7277600
B013X 7.0296835 5.65589126 5.9206198 4.4594502 3.64739269 4.8915014
B228 11.1546159 8.77260439 8.4000762 6.6987086 5.86383653 6.7617349
B248 2.5664280 2.12340605 1.4604876 -0.5659522 -1.30154982 1.0223481
B278 10.9997529 9.06457700 8.9405201 7.2966080 6.52052707 7.3861754
B434X 10.8370749 8.71407030 8.5699257 6.8098738 5.91492983 6.7095355
B569X 10.2758111 8.17302133 7.9616869 6.2169426 5.12734528 6.0811843
B691Y 10.5949609 8.53041591 8.6996816 6.9999568 6.08491269 6.9689486
B893 10.0057494 7.94485291 8.0507182 6.4094559 5.29301421 6.6222799
B954 13.4418014 10.84994103 8.9743462 7.2519671 7.49866449 7.5480617
C029O 19.0793261 18.05544804 17.6747503 17.1213960 16.79508479 17.0623790
C129Z 18.7215938 17.78272627 17.3165139 16.7171808 16.47791984 16.7712998
C139E 18.9379317 17.95644182 17.5445562 16.9364358 16.59039870 16.9372796
C229J 18.7195413 17.86634082 17.5152486 17.0695446 16.82944357 17.0003599
C249I 18.9269177 17.94164735 17.6475951 17.0100275 16.75875079 16.9385355
C329Z 18.8546635 18.00971361 17.5666052 17.1685398 16.87287721 16.9705674
C429I 18.7907449 17.81115512 17.4068919 16.7450350 16.48611877 16.8676483
C430E 11.0658624 -3.62784091 -4.3671668 -4.7165568 -2.77396120 -5.5225381
C439J 18.7938304 17.77631947 17.3673564 16.4150280 16.04420442 16.5912922
C447A 16.5848274 15.52854558 14.6710958 12.5421006 12.28798266 12.9967274
C449C 18.8706293 17.91765876 17.5224658 17.0104226 16.63354675 16.9088326
C459Z 18.9406955 18.04201947 17.6454149 17.0246158 16.70669527 17.0875947
C629X 19.0004941 18.09016557 17.7314621 17.1911827 16.71674300 17.1608312
C649I 18.9372218 17.96169387 17.3969878 17.1349091 16.83610171 16.8897461
C659M 18.9673648 18.04929829 17.6778898 17.1203427 16.83114528 17.0007529
C929I 18.9109986 17.89514726 17.5227269 16.9028300 16.59974679 16.8431941
2023-04-07 2023-04-08 2023-04-09 2023-04-10 2023-04-11 2023-04-12
0016A 6.69749555 7.95941419 7.7840872 10.631001 10.0701243 10.23882285
0076 6.63758527 7.59233398 7.0920245 9.671260 9.2649716 10.31278665
0149X 5.62265557 6.69753357 6.3243441 9.227821 8.5263453 8.55725511
0200E 4.72501690 5.99476107 5.4803382 8.658507 7.6968511 7.85260680
0252D 6.36752102 7.28522467 6.8403545 9.459630 8.9828678 9.96010136
0324A 3.74750042 5.08925017 4.7125044 8.144783 6.9237484 6.17723545
0367 6.42718319 7.35127268 6.9971071 9.497400 9.0423442 9.81073297
0372C 6.14367712 7.21774518 6.8053376 9.396302 8.7418476 9.53299102
1002Y 4.14349648 6.42462261 7.3881346 8.264478 10.3009822 7.52126899
1014 4.79526810 7.12156366 8.3090797 8.321850 11.3064771 8.27696782
1014A 4.68291014 6.97710342 8.1646203 8.161372 11.1459566 8.13250388
1024E 3.32440557 5.48362947 6.5062811 7.247902 9.4654826 6.68542749
1037Y 2.18304110 4.35237231 5.3976734 6.152901 8.2372277 5.43059848
1041A 5.15078943 7.31546305 8.4397330 8.816623 11.2511073 8.08733059
1050J 4.69301242 6.80692579 7.9539260 8.352678 10.6013611 7.58146532
1057B 4.56531988 6.74918889 8.0669884 8.247962 10.8840942 7.78495888
1078I 4.20961466 6.35009978 7.5064017 7.568281 10.0034312 6.86480040
1082 5.63482568 7.68914692 8.9204050 9.022466 11.5139510 8.32680539
1083L 5.42637835 7.53654805 8.8738892 8.808260 11.3930692 8.20486352
1109 6.17148034 8.08045133 9.6181219 8.960608 11.7346734 8.70217784
1111 5.38111160 7.42892170 8.6609471 8.578102 11.1644907 8.16564888
1111X 5.38111160 7.40391268 8.6859546 8.515834 11.1395803 8.15314469
1159 5.91968238 7.97933537 9.0311041 9.374420 11.3682736 8.36003458
1183X 5.82095905 8.30798399 9.2407728 9.515972 11.4499600 8.53094862
1207U 6.51743213 9.32068331 9.9004802 10.337007 11.7093770 8.87915460
1208H 5.81412184 8.86052349 9.3046030 9.907607 11.1950565 8.88254959
1210X 5.60105951 8.35860791 8.9397640 9.591204 10.6570361 8.11893832
1212E 5.87520099 8.40998652 8.8838007 9.643336 10.5580264 8.05073853
1221D 0.36145980 2.52627053 3.3194126 2.429461 0.4774016 -2.33682138
1249X 5.16051614 7.55440527 8.0661585 8.526463 9.1218650 6.44248077
1283U 5.99720801 8.31408929 8.8484143 10.148626 11.0391193 8.17225570
1331A 6.48543798 8.33472325 8.8651240 10.284366 10.8646481 8.22910953
1351 6.59033300 8.09652395 8.4670718 10.116975 10.4205321 7.60291378
1387 7.28447904 8.34794334 8.4429083 10.320569 10.4614662 7.58514236
1387E 7.53006321 8.53588281 8.7284582 10.213777 10.5671018 7.57642128
1393 7.65615335 8.33007058 8.6172584 10.574623 10.5909860 7.62995223
1400 6.30489249 7.33614457 7.7912982 9.262475 9.3610076 6.34082940
1428 5.76620642 6.80047575 7.3322458 8.375746 8.6878047 5.48770730
1473A 7.69268302 8.59924304 8.7506317 10.293348 10.3238998 7.57144482
1475X 6.55574711 7.50398684 7.8629138 9.165748 9.4793132 6.37337162
1484C 7.04235404 7.98668992 8.2958889 10.143658 10.0217013 7.32696246
1495 6.27576440 7.03386831 7.5460000 9.051213 9.1617540 6.18804107
1505 5.46721968 6.79500796 7.4543205 8.087421 8.1985882 5.08089914
1542 1.01583806 2.40734071 3.1809799 1.969002 0.8422008 -2.59005943
1549 4.10877014 6.15813045 6.9443559 7.293218 7.7398658 4.65127323
1631E 3.08161217 4.48903643 5.3876294 5.471711 5.4199222 2.33997393
1690A 6.92591244 7.87753584 8.1040319 9.824389 9.9321552 7.07633194
1700X 5.68434793 6.64235008 7.1855730 8.231517 8.3710699 5.37258458
1735X 4.52936458 5.78123075 6.5477717 7.107529 7.0818284 3.96819438
2030 0.19371739 1.73254707 3.3026741 4.991733 4.5441962 1.88355815
2117D 2.13769452 4.25831848 5.3515943 7.011120 6.4802565 4.66399268
2150H 3.03270349 5.25406128 6.4368807 5.584304 4.0356822 -2.32298976
2235U -1.24994898 1.74025885 1.7433532 1.547390 2.3463916 -1.24420286
2298 1.24164717 3.11260956 4.3882216 5.731713 5.4971034 2.10133307
2331 0.94061862 3.19632460 4.0097666 4.580392 5.3544306 2.18528524
2400E 2.01189144 4.26570094 5.1095250 5.858658 5.6024083 2.95369752
2422 2.09149910 4.36426934 5.2890653 6.675067 5.6379348 4.33663973
2444 4.89567398 6.22382291 7.5485855 8.298844 6.6334603 3.83942374
2462 3.29560305 5.92323333 6.7874512 6.303390 4.8375207 -2.82620843
2465 4.65019528 6.09839724 7.4068418 8.723309 7.1201195 5.00903019
2491C -0.32653537 3.60748730 4.4606270 4.789040 2.0111962 -3.04020773
2539 2.43016688 4.55968320 5.5540021 6.555454 5.7063146 3.61361787
2614 3.03562399 4.91980508 5.9646531 6.875521 6.0258019 4.75020823
2661 2.91934341 5.19540668 5.9109806 5.665932 4.9769741 2.17942714
2737E 3.08841588 4.75837580 5.8242977 5.276434 4.6714228 1.33981871
2755X 3.07704184 5.47368046 6.2916143 6.922665 6.0784306 3.81257372
2775X 3.14564234 4.93471189 6.0161387 5.956854 5.6760494 2.94765607
2867 4.31714900 5.61432792 6.8596929 7.842936 6.6867858 4.93617577
2870 3.84209240 5.18232345 6.4645328 7.196661 6.2047148 4.66287298
2916A 3.42309214 4.83863886 6.2163922 6.888085 6.3938041 4.24318233
2946X 4.50264665 5.59055467 7.0274452 7.630332 7.2322307 5.17326061
3013 0.41050976 1.95613984 4.0342357 5.788206 4.8226164 4.05596699
3094B 4.85468322 5.88928173 7.2483062 9.719618 7.8738599 7.92966719
3100B 6.07648438 6.87724850 8.0561145 11.259363 9.8025951 10.43952356
3110C 4.74070282 6.11102591 7.3777358 8.680593 7.1751711 4.82987538
3111D 3.87179753 5.43800707 6.7325107 6.981759 5.4443866 0.99542831
3129 5.98795183 6.93755229 8.0723638 11.129370 9.2226875 9.33184712
3130C 2.77982251 4.35481232 5.8105819 7.287602 6.2700968 4.72360281
3168D 4.90603081 5.99398215 7.2156382 9.897327 8.0925524 8.08468946
3175 6.07586997 6.90769568 8.1968646 11.142764 9.1881787 9.75949185
3191E 5.01274118 6.09663524 7.4071429 8.976808 7.3471411 5.42297383
3195 5.57273549 6.60566994 7.8565820 10.589543 8.7024803 8.78742622
3196 5.75968799 6.72462086 7.9447591 10.433469 8.7044390 8.60306357
3200 5.78153203 6.74241748 7.9172122 10.803927 8.9345241 9.25156429
3260B 6.06130918 6.71384699 7.9554775 10.823990 9.0231781 10.30750960
3266A 4.54297227 5.97683585 7.5397103 7.674233 5.9883955 0.87773102
3338 5.62175673 6.59589187 7.9488135 9.590098 8.2387353 7.59103365
3365A 6.31669997 6.59916555 8.1468345 11.160543 9.4867942 10.33243808
3391 5.50531440 6.43744985 7.6794343 10.141113 8.3760396 8.34655936
3434X 6.50546538 7.34775391 8.7845243 10.079985 9.9868064 9.16798659
3469A 6.29731569 7.13485286 8.5638272 9.205131 8.9253764 7.99652755
3519X 5.26483153 6.13269674 7.8370513 8.684099 8.2558136 7.68045411
3526X 6.10674822 7.12882016 8.5008177 9.083836 9.0910068 8.35439142
3576X 6.37676470 7.30950364 8.8293543 9.505267 9.0662738 7.73767694
4061X 5.25455802 6.59105717 7.4693224 10.680477 8.7967456 9.74556857
4067 6.15572376 7.02137589 8.1120809 10.872147 8.9675701 9.37878462
4090Y 4.44333477 6.01033094 6.5923814 10.197237 8.7120627 10.31692041
4103X 5.73987152 6.74253600 7.5106301 10.780564 9.0833853 10.27439584
4121 6.17751086 7.00590551 8.2377187 10.923856 9.4653116 9.74507778
4147X 6.10860681 7.26181837 8.3820644 11.278374 9.9337902 10.26839469
4148 6.67946617 8.08673740 9.3155778 11.902842 11.0983108 10.46610403
4220X 6.17400895 6.89655633 8.4265016 11.079303 9.1640681 9.32081316
4244X 6.20541120 6.89960921 8.4261125 10.396928 8.7538827 8.88161685
4267X 7.10888454 8.29759010 9.4579724 11.513310 9.6972688 9.29503341
4358X 6.37419726 7.34937961 8.7376704 9.988185 9.2704151 9.23828547
4386B 6.51407600 7.93137419 9.2256810 10.891312 9.1583908 8.25351228
4410X 7.12089021 7.73413087 9.7122597 11.063576 10.0681282 9.82848874
4452 7.11715599 8.07130323 9.6751822 11.027851 10.3982627 10.21915446
4511C 7.70789246 8.59401463 10.1814504 11.429309 10.0940175 9.39831649
4549Y 9.70780360 9.65031001 11.3107952 13.181281 12.1445449 13.04183858
4560Y 7.39631617 8.59468190 9.9900286 10.501821 8.7692330 8.42529037
4642E 9.64662464 9.81175550 11.3358769 13.073312 12.1090750 12.98659010
5000C 10.33714367 9.99875923 11.3063737 13.294261 12.4740511 12.99364196
5047E 5.08500317 7.09137993 8.3790680 11.905116 10.9404719 10.86206672
5181D 5.24707628 6.75032283 7.8074301 11.235699 10.3120719 11.03881882
5192 4.14792520 5.74591983 5.9014614 10.277388 8.4671271 10.49272888
5246 5.88461921 7.11289074 8.4615627 11.338748 10.1403118 10.39182382
5270B 6.31813827 7.22261703 8.6792690 11.382192 10.1480398 10.12479960
5298X 7.24589816 7.61799528 8.8665194 11.841896 10.1911420 10.67285956
5390Y 7.14440339 8.21538536 9.4930337 11.971304 10.3131277 9.63016733
5402 7.03307151 7.45757958 9.1132729 11.792564 10.2727760 11.30137947
5427X 6.59508603 7.58086669 8.8547368 11.285302 9.6915854 9.67407716
5514 6.32869362 7.52150202 8.9459393 11.762725 10.7267563 10.55821374
5530E 7.11843481 8.01744161 9.5062612 12.083621 11.1244583 10.97441935
5582A 6.22469484 7.63512453 9.2299205 11.689064 9.9582874 9.74130064
5612B 8.17298484 8.74148685 10.0339795 12.222944 10.8836290 11.03345085
5641X 8.33651481 8.19556786 9.7399674 12.266083 10.9393783 11.81325666
5704B 8.12692810 9.08023192 10.5965027 12.298956 9.9336021 9.30210463
5783 9.31157370 9.31729963 10.8416402 12.960768 11.7676551 12.75454247
5796 9.83309045 9.64287936 10.9708662 13.133460 11.9547308 12.69504709
5860E 9.65599742 9.59125521 11.3717749 13.100079 12.2266869 13.01530865
5910 10.27152969 10.13916845 11.4890845 13.558271 12.7004489 13.35147773
5911A 6.00835238 8.03658751 8.4649485 11.533793 7.9805916 6.96041229
5960 10.31126880 10.46348354 11.7039288 13.736383 13.0174464 13.44326630
5972X 10.06241617 9.80335489 11.3652617 13.404492 12.5398683 13.37079609
5973 9.96176791 9.68398981 11.2552883 13.367774 12.5912239 13.29842914
5995B 9.93299526 9.91602102 11.1304470 13.057115 12.0358536 12.67706729
6000A 10.08377732 9.71044173 10.9692507 12.849630 13.8595280 13.53505449
6001 10.43427019 10.07666840 11.5603634 13.681465 12.8799897 13.37625506
6058I 10.25347617 9.98486888 11.2824848 13.291718 12.8385803 13.26926436
6106X 7.97156433 8.43134940 10.1939335 12.364282 11.0274724 11.13273162
6155A 10.27429571 9.97849623 10.8874128 12.903088 12.5732897 12.60281378
6156X 9.80964814 9.48741533 10.5559110 12.632830 12.1664938 12.10429787
6205X 9.60803794 9.05184817 10.1663752 12.705717 13.1204061 13.59660381
6277B 9.02869080 8.84701545 10.2622811 12.479398 13.5713597 13.57116823
6293X 10.40473849 9.69639640 11.4621321 13.045309 14.7494369 13.58375250
6302A 3.65862373 5.35217677 6.7572250 9.895533 8.7169068 9.02668687
6325O 8.73482307 8.73814777 10.9230128 12.340957 14.2811329 13.40906109
6367B 6.27793708 7.23683283 9.3536969 11.584168 12.5467631 12.54024397
7002Y 8.17947636 7.79698717 11.3036672 11.722903 14.1024044 12.89996659
7012C 7.88214928 7.76493537 11.1220888 11.290358 13.6224473 12.28165311
7031 7.98586862 8.15138592 11.1959753 11.453220 13.9949817 12.54686579
7031X 8.15410186 8.13950820 11.3638926 11.457231 13.9420462 12.50994377
7096B 3.65908525 5.62541560 6.1560748 10.162884 9.3822355 11.10651747
7119B 3.83007339 5.74113212 6.6924740 10.564851 9.7094508 11.55864600
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8019 7.80614323 7.91206095 10.9701228 11.034898 13.3455606 12.12509407
8025 7.50895419 7.65978195 10.4917585 10.874284 12.8530152 11.91697825
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8325X 7.66379780 8.08615485 10.9245798 11.154095 13.0056775 12.17737398
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9001D 0.45673958 2.83207693 3.8237499 3.888682 4.7785383 1.31320012
9019B 0.92201067 3.83636293 4.3625791 4.563902 5.5327293 2.70445474
9051 1.30242959 3.90374840 4.6936342 4.842790 6.7100372 3.65841904
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9244X 2.18147545 4.34305795 4.9703418 6.846390 7.2827613 5.34055833
9262 2.55509844 4.77522018 5.6238429 6.891203 8.2373426 5.69375076
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9263X 2.20419677 4.42129197 5.1771386 6.755524 7.7160547 5.34253521
9294E 3.46661187 5.75191274 6.2606195 7.998501 9.5986057 7.02460626
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9394X 2.06750685 4.43173686 4.8898786 7.300853 7.6011706 6.08321186
9434 4.04137190 6.56767525 6.0160930 9.037159 9.7613847 8.00906785
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9619 3.82514853 5.28368637 4.7559850 8.467625 7.0170828 6.07066737
9698U 2.81229561 4.37828660 4.1812258 7.853020 6.3195369 5.07427215
9771C 6.13651214 7.64858163 7.2562791 10.589997 10.0443225 9.54285661
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9898 3.38537214 5.38941671 5.3954959 8.443146 8.1227814 6.57907172
9981A 7.41721381 8.40471016 8.4892534 10.781333 11.1916523 10.94965416
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B013X 5.70375846 7.03580859 6.9095490 9.264652 8.8234574 8.96572026
B228 6.71613570 7.77654482 7.5411067 9.364192 9.4657947 10.73760691
B248 1.70087299 2.98471524 2.8060484 6.451291 5.1797586 3.91243770
B278 7.36600971 8.43011737 8.1105091 9.838004 9.8634613 11.32305878
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C029O 15.97813295 16.37460432 16.7520909 18.517556 19.3590756 19.29819191
C129Z 15.69106270 16.08404115 16.4358564 18.296358 19.0236538 18.90327762
C139E 15.96731351 16.25806843 16.6050543 18.403166 19.1828260 19.18199260
C229J 15.85411451 16.25522842 16.7678894 18.469060 19.3083190 19.18202991
C249I 15.84040246 16.26383529 16.6636648 18.421972 19.2457159 19.19371935
C329Z 15.97307786 16.38554961 16.7126281 18.473638 19.1768539 19.17312558
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C439J 15.61559826 15.87156576 16.2478681 18.067388 18.8292515 18.79061146
C447A 12.97351371 13.15078313 13.1465112 14.597372 15.5296812 15.49662434
C449C 15.81310026 16.10357011 16.5618179 18.414882 19.1669544 19.13097191
C459Z 15.97449866 16.22860268 16.6318176 18.512055 19.3491668 19.23253319
C629X 16.04955326 16.41107383 16.8240984 18.656694 19.2759556 19.27110267
C649I 16.04341275 16.32997309 16.6783030 18.492792 19.2817023 19.23506355
C659M 15.86762981 16.21108027 16.6759382 18.548543 19.3106959 19.27992848
C929I 15.73675585 16.24038519 16.6125545 18.361690 19.1928712 19.15940532
2023-04-13 2023-04-14 2023-04-15 2023-04-16 2023-04-17 2023-04-18
0016A 9.38110887 8.1732012 11.1147559 8.83976466 8.1584165 9.8121938
0076 9.80289752 9.0097016 11.6921434 8.91683289 7.6423166 9.5937480
0149X 7.09649788 6.7195918 8.9789292 6.96852325 6.1150742 7.9351933
0200E 6.50320242 6.0815998 8.2890718 6.12931171 5.1193666 6.8811891
0252D 9.46167176 8.7394318 10.9845585 8.48199891 7.2644263 9.1963394
0324A 4.15431279 4.1102442 6.3107299 4.49683475 3.9893830 5.1599691
0367 8.98612370 8.4693858 10.7680805 8.47441806 7.2837493 8.9655678
0372C 8.61684994 7.9823492 10.3486468 8.09801827 6.9860010 8.8410128
1002Y 5.76247840 8.7430833 10.0788315 6.41171553 6.3082492 7.2221013
1014 7.03711858 9.9192774 11.0835142 7.53317042 6.8186688 8.3290735
1014A 6.89265464 9.7747716 10.9390265 7.40473689 6.6902360 8.2166801
1024E 5.02784405 8.4282568 9.4483425 5.79879864 5.2423221 6.2188382
1037Y 3.39108292 7.4787857 8.1290627 4.95920225 4.1227037 4.9068312
1041A 7.04862374 9.8683242 11.1814702 7.39761299 6.9795709 8.2673941
1050J 6.18061917 9.3551163 10.5913389 6.90955756 6.4763222 7.5304043
1057B 6.68847635 9.6576539 11.1168949 7.28694855 6.4313684 7.7174023
1078I 5.34859908 9.1655785 10.1722548 6.96217923 5.6984126 6.7457685
1082 7.24389107 10.1494426 11.7633994 8.00175616 7.3464224 8.5002198
1083L 7.17500830 10.1258468 12.0550884 8.11405108 7.0151204 8.3371103
1109 8.21148053 10.6898558 12.9394284 8.96930406 7.4102314 8.9412997
1111 7.45469957 10.3780476 12.3961449 8.60336964 6.7936439 8.1921440
1111X 7.44219537 10.3655417 12.3211146 8.61587469 6.7936439 8.1546261
1159 7.89432595 10.8250453 12.4553178 9.83268390 7.6249207 8.5305364
1183X 8.27119829 11.2390509 12.8165697 10.16214219 7.5257921 8.0847131
1207U 8.62019142 11.6903547 12.8591622 10.64215588 8.3446311 8.6460809
1208H 8.78113335 11.6386266 12.9359748 10.63640913 7.8744868 7.9885895
1210X 7.82767926 11.0314369 12.1198480 10.08683664 7.3494056 7.4139120
1212E 7.78883950 10.9341407 11.8487882 10.25443396 7.9831930 7.8150332
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1283U 7.85725032 11.0489473 11.9109101 10.07940262 8.1346999 7.8754665
1331A 7.78838273 11.2164579 11.6671912 10.13270071 9.1805732 9.0713499
1351 7.04455165 10.7982297 10.9994005 9.54631503 9.5610576 8.6171281
1387 7.05118180 10.8111987 10.9684847 9.60031231 10.3319158 9.3269455
1387E 6.92834292 10.6473657 10.8560527 9.31933521 10.4103230 9.4942197
1393 7.05111365 10.8689500 11.0552420 9.69334364 10.6545313 9.6474552
1400 5.54964074 9.6334463 9.4409022 8.23386303 9.2611416 8.2450957
1428 4.64992164 8.8091932 8.3534461 7.31630677 8.6075958 7.4279221
1473A 7.01776736 10.6078784 10.6258108 9.59537765 10.7486122 9.5071966
1475X 5.61781011 9.6107921 9.3665379 8.16381493 9.4084412 8.2935297
1484C 6.67992748 10.4531143 10.4308532 9.20834347 10.3417735 9.2548471
1495 5.27553783 9.4122751 9.0671239 7.88574198 9.2352651 8.1826325
1505 4.21731968 8.5567425 8.1994876 7.03748111 7.7823270 6.8020866
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1549 3.49497521 8.1225043 7.5952371 6.62492077 6.1217587 5.2151901
1631E 0.77900559 5.9216654 4.7866378 4.25826449 4.8724489 3.6333498
1690A 6.40482305 10.2007606 10.2575465 8.91624559 9.9139969 8.9070607
1700X 4.34181806 8.6304742 8.1861858 7.08638464 8.3387315 7.3074078
1735X 2.65300936 7.4368481 6.6951947 5.90062390 6.9106066 5.6641838
2030 -0.29800108 3.1513259 3.7392559 2.24871271 0.9590621 0.3802400
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2331 -0.64516407 5.1207516 3.9671828 3.41267933 1.0693200 1.1904753
2400E 0.06399973 5.6255923 4.1003716 4.30978610 2.6463375 2.0896002
2422 1.01955612 6.4726849 5.0785141 5.21670956 3.5867001 2.7595195
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2465 1.81080243 4.4992173 5.5759458 5.92644873 5.5244935 4.7854194
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2539 0.64453864 5.9790550 4.7699806 4.97832853 3.6105225 2.6497813
2614 1.83053158 6.4201814 5.8320725 6.14918153 5.0269976 4.6229430
2661 0.39896178 5.9875513 4.8071455 4.40473323 3.9348874 2.8500705
2737E -0.55196300 5.1857814 3.8933897 3.71072562 4.2633519 2.9747254
2755X 1.83232043 7.0342788 6.0841531 5.49548982 4.6116719 3.8200738
2775X 1.10403688 6.1384258 5.0148315 4.68427760 4.7921610 3.7637873
2867 1.56035454 5.4840472 5.9732979 6.86996232 6.0634015 5.6305089
2870 1.25246395 5.4708495 5.5832820 6.70996923 5.7268880 5.4360013
2916A 1.39348875 5.8373177 5.7253351 6.36651771 5.8169702 5.6190381
2946X 2.07288422 6.0811408 6.6320608 7.29636524 7.0072406 6.4211486
3013 1.53639831 2.9743760 5.4241093 3.26204989 1.4886252 1.2172100
3094B 4.68236441 4.7108440 7.3941322 6.79608393 5.7538301 5.8487892
3100B 6.96581947 6.6913509 9.6903508 9.34994851 7.6174928 7.9091697
3110C 1.57547815 4.1700847 5.3072709 5.50738478 5.1351637 4.6052297
3111D -1.87959960 1.9115421 2.3983538 2.96296673 3.9764579 2.4555031
3129 5.91629014 6.2782196 8.9373784 8.49378291 7.2397753 6.9286865
3130C 2.01427365 4.3235325 5.3631290 4.77767958 3.7106103 3.2851776
3168D 4.81452186 5.6306924 7.6843412 7.30107628 5.9645812 5.8609354
3175 6.15086560 6.6531101 8.9543723 8.68552752 7.1044498 6.9731434
3191E 2.19715045 4.2359226 5.8666292 6.05597878 5.4231318 4.9876585
3195 5.26614192 5.7909841 8.2754731 8.14616212 6.7151768 6.7032595
3196 5.05349519 5.7947516 8.1263401 8.14270814 6.8559811 6.6395909
3200 5.66350283 5.9043078 8.5282573 8.59199248 6.9318639 6.9616469
3260B 6.54162224 6.1891196 9.0831632 9.45065702 7.6091492 7.9774906
3266A -1.88997717 1.9826033 2.6264267 2.90547083 4.0832141 2.2128295
3338 3.97173023 5.2316670 7.2598425 8.03021994 6.8392425 6.5360066
3365A 6.37001122 6.5310023 9.6060948 10.70909088 8.3801166 8.4603149
3391 4.48098990 5.7643096 7.6513615 8.39603258 6.6491498 6.9621988
3434X 5.61664940 7.0553132 9.5667248 11.34314703 9.5933391 9.6686362
3469A 4.38325981 6.4018820 8.8013684 10.99748740 9.4307336 9.1329631
3519X 3.89615358 6.0560140 7.9267968 9.85996108 8.1949210 8.2775539
3526X 4.69014000 6.8691000 8.9421720 10.62625556 9.2211265 8.9076634
3576X 4.20720212 6.6995429 8.8043270 10.71628060 9.8537796 9.2209621
4061X 6.32661041 5.4135695 8.2281516 7.67536881 6.2456047 6.8610875
4067 6.00887709 5.6233376 8.2615592 8.24059711 7.0270119 7.3720219
4090Y 6.78758897 5.0791157 8.6327876 7.03837851 5.4753959 6.0183703
4103X 7.08805420 5.3697421 8.4382700 8.11434788 6.6250198 7.2334690
4121 6.44406865 5.5929817 8.3260427 9.10909021 7.3153721 7.7709246
4147X 7.17865436 5.7757548 8.5321686 8.63704608 7.1931459 7.7264025
4148 7.58465696 6.5140750 9.1101225 9.02329397 8.0775098 8.5489120
4220X 5.72307254 5.7509077 8.4874612 10.19448082 8.1039008 8.5539875
4244X 5.19203503 5.6377500 8.6288116 10.54401266 8.5601043 8.8519713
4267X 5.99357623 6.3278781 9.0481193 10.82140248 9.3580973 9.7125310
4358X 5.70949230 6.8010853 9.8775619 11.64189565 9.9243010 9.7107163
4386B 4.39808832 5.9317087 8.6074368 10.94140542 10.1403038 9.8698441
4410X 6.33211805 7.6904049 10.5609451 12.38028643 10.4208789 10.2848293
4452 6.59604173 7.9350626 10.8607858 12.68662966 10.9242735 10.3706247
4511C 5.75141993 7.5693189 10.2430720 12.02148682 11.0100994 10.4192496
4549Y 9.73899778 10.5089455 13.0795912 14.08013797 12.6777907 12.3397201
4560Y 4.70180071 6.1681002 8.9798215 10.51866915 10.0669431 10.1138937
4642E 9.86202435 10.4594602 13.1509134 14.27687654 12.6695028 12.3597792
5000C 11.31675670 10.9496654 13.4428922 14.23551437 12.7669079 12.7771703
5047E 8.47516441 6.0801496 9.2413186 9.31399487 7.1826188 7.0777935
5181D 9.15957817 7.0352813 10.2363880 9.38954746 7.2329528 7.7317560
5192 6.56284228 4.7926934 7.8395539 6.54628694 5.0116469 5.4622595
5246 7.56359815 6.0523656 8.7707027 9.20428228 7.4709014 7.5914453
5270B 8.85438138 7.1888286 9.6855558 10.73420224 8.4485791 8.7729849
5298X 10.53197407 8.9447675 11.7570756 12.67312457 9.6984838 10.2167433
5390Y 6.72820493 6.3340288 8.5811878 10.44203792 8.9791998 9.3049226
5402 10.66736962 9.3256550 12.5395692 13.50603410 10.3916891 10.5988588
5427X 7.83147229 6.3668995 9.0059524 10.86621026 8.8110955 9.4506153
5514 8.77333438 7.1160510 9.8891607 10.78154503 8.4861087 9.0243954
5530E 9.77422134 8.2104690 10.5705907 11.53993694 9.3437897 9.7862597
5582A 7.52655665 6.0448864 8.1003192 10.47793492 8.3987306 9.0190879
5612B 9.40575473 8.4377403 11.0837677 12.90049519 10.5104959 11.0673538
5641X 10.44037081 9.7660277 12.3670224 13.49456092 11.1017367 11.3459202
5704B 5.75955267 6.7772464 9.1658965 11.90572934 11.4254938 10.9354069
5783 10.02573481 10.1570107 12.9686257 13.93879587 12.1812444 12.1046158
5796 10.46291787 10.3892916 13.1027711 14.04497684 12.4506503 12.2590467
5860E 10.09760024 10.4212248 13.2358072 14.49562952 12.7523364 12.3685970
5910 10.70929440 11.0715393 13.6940832 14.61602117 13.0279963 12.7842301
5911A 5.07652671 4.1010169 6.7434829 9.77911342 8.2931093 9.1544394
5960 10.96399193 11.3079950 13.9335146 14.75087629 12.9686505 12.8244464
5972X 10.77172541 10.9689081 13.6250266 14.40153025 12.7963405 12.5794343
5973 10.77425082 10.9258230 13.6428252 14.44966922 12.6924869 12.4817313
5995B 10.16409399 9.9871655 12.6446786 13.93606140 12.6008071 12.5989281
6000A 14.53325969 13.0101202 14.8484988 14.20065489 12.7905129 13.2671241
6001 11.46326240 11.6020602 14.1607289 14.85096658 12.9841210 12.8862852
6058I 11.68302725 11.3943192 13.9437575 14.37710874 12.7076661 12.6412270
6106X 9.62874744 8.5504955 11.0665330 12.67961233 10.4905177 11.1539980
6155A 12.60753837 11.4448936 13.9398710 14.39207389 12.6970706 12.7977160
6156X 12.33657691 11.1057013 13.6605391 14.03572025 12.2645416 12.4383419
6205X 13.60601557 12.3882281 14.4725084 14.34953706 12.2333285 12.6825762
6277B 14.54122779 12.6808096 14.4974819 13.83114318 12.3074955 13.0779757
6293X 15.62758262 13.5157842 15.6920736 14.46064902 12.2420610 12.7916260
6302A 7.24526627 5.2589889 8.7293546 8.76852533 5.6782405 5.9802281
6325O 14.86454944 12.2957036 14.9751575 13.63034553 11.9245162 12.5757174
6367B 12.50346410 9.8480796 13.4456733 11.26791921 8.8642798 9.4278372
7002Y 14.42750167 11.2498634 15.2004050 12.90164316 10.1965011 11.5895851
7012C 13.76041959 10.9790485 15.3477982 12.50819625 9.5366270 11.0815429
7031 14.05479733 11.5923361 15.7238640 12.76420507 9.7328040 11.1779509
7031X 14.04858442 11.5148047 15.6208769 12.81345686 9.7182287 11.3165942
7096B 9.01386509 6.4779570 10.7614953 7.76100930 5.6766501 6.0209285
7119B 9.31948108 6.9054331 10.9064059 8.00188060 6.0407217 6.3894957
7145D 12.08828955 9.4149860 13.6861523 10.56887953 7.9572111 8.8315975
7178I 13.56974359 10.8944008 15.2885565 12.17661914 9.2041425 10.7749816
7209 12.15393564 9.4078565 13.4802839 10.76266920 8.2005078 8.7358644
7228 13.59160325 11.0248644 15.2351312 12.11625284 9.3764597 10.7587424
7247X 9.35287345 6.9229384 11.2702032 7.99600292 5.8568977 6.0394796
7275C 8.48675071 5.9340811 10.5091666 7.21354112 5.4035828 5.4907439
8019 13.34778787 10.7988095 15.0238410 12.13786121 9.0453406 10.8384435
8025 12.92838134 10.4597130 14.6398073 11.61322322 8.7211766 10.4161016
8050X 13.51637623 11.1668643 15.1339707 11.77622240 9.3353576 11.2092588
8096 2.88586641 2.2844596 6.5791586 2.93376379 1.6335476 1.1669303
8175 7.94923899 5.4570120 9.6186726 7.08625588 5.1829875 5.5912870
8177A 6.53080350 3.8843205 8.3037540 5.55293480 3.6522177 4.0575927
8178D 8.11535409 5.6078031 9.8002595 7.11581772 5.1692278 5.7120219
8293X 12.70112704 10.4150759 14.4965904 11.50317630 8.5861737 10.3991999
8309X 6.33709827 4.9400562 8.9483313 5.76697357 3.5649871 4.0512609
8325X 13.36431316 11.0350583 15.0000483 12.28623812 9.2557729 11.2535989
8368U 3.38421886 3.7671707 6.8691908 3.91450874 1.8382912 1.6648319
8414A 12.53550256 10.6724216 14.6424821 11.45125332 8.8364227 10.6244332
8416 12.71980339 10.7031806 15.0100165 11.56216742 8.9678200 11.1233514
8416Y 12.78126123 10.7031806 14.8354784 11.56216742 8.9678200 10.7742471
8489X 0.69488042 1.6265569 5.0973383 1.91531473 0.5382728 -0.2812798
8500A 11.62993362 10.2097862 14.2420750 10.95136338 8.6363551 10.5437482
9001D -1.36677393 5.0615212 2.8880620 3.80440792 1.0253140 0.7756749
9019B 0.03102138 6.1619820 4.6430631 4.31323023 1.7345969 1.7066579
9051 1.28113059 6.8060114 5.8084825 4.78259265 2.3731126 2.8831180
9091O 2.36454259 7.0729262 7.0044106 4.53296045 3.0727972 3.9423110
9091R 2.39926096 7.0445304 6.9921685 4.59365739 3.1665299 3.9558961
9111 -0.46424982 5.2399288 4.3237055 3.35755977 1.2224737 1.5467684
9170 4.15900943 7.7254142 8.6454698 5.21845427 4.5928774 5.4536885
9208E 1.38131491 2.3859067 4.4523981 2.50150887 2.5434692 0.6459608
9244X 3.31606636 5.8844988 7.2259867 3.93487859 4.3436222 3.9915855
9262 3.87254864 7.1023836 8.0196938 4.69553725 4.8035353 5.0116732
9263D 3.81731691 7.0457984 8.0654763 4.74330530 4.7829200 5.1470298
9263X 3.18798173 6.2907292 7.4981334 4.27070508 4.6675625 4.5249135
9294E 5.34452578 7.8715377 9.1011535 5.73661909 5.8762296 6.2697655
9381I 2.75569154 3.4847429 6.5110397 3.66684012 2.1981800 1.6030404
9390 3.36848377 4.2621102 7.2135112 4.13502402 3.0978313 2.5105490
9394X 4.27077948 5.3999684 8.4153810 5.41108902 4.9261942 4.3289672
9434 6.26502686 7.5636038 9.8699677 7.00230818 7.2879603 7.1196758
9434P 6.41714044 7.4187686 9.9922966 7.21896778 7.3762583 7.2590746
9563X -0.10932565 0.9775321 4.4985128 1.30773264 -1.4953293 -3.1155033
9569A 6.63166253 6.7304195 9.8555247 6.87989509 5.8602513 6.1648521
9573X 7.75347864 7.6727342 10.7646066 7.79819088 7.2070250 7.7633864
9585 -4.59905461 -3.0188485 -1.2942592 -1.81921558 -1.1859719 -3.1287240
9619 3.88678038 3.9432926 6.2937977 4.22063200 4.0573973 5.2399581
9698U 2.85438220 3.3996732 5.7141528 3.44431923 3.1650845 3.8701448
9771C 8.17340110 7.4902631 10.7442518 8.40358484 7.7965347 8.9475360
9784P 1.13408615 2.5134477 4.0446764 1.92924284 2.3222344 2.4214846
9898 4.80956369 5.7350473 8.2522130 5.33818852 5.5911747 4.9145977
9981A 10.20860020 9.1330886 12.5102005 9.54042556 8.3359732 10.4980505
9990X 0.12190868 0.8511041 2.8578034 1.45522795 2.1448812 1.5539707
B013X 7.03796475 6.9070597 8.8822201 7.16553760 6.2117922 7.1349712
B228 11.27880812 10.7301683 12.8314616 10.16396084 8.3254925 9.3000347
B248 1.48492908 2.0501253 4.1204717 2.28895350 0.9899077 2.4413356
B278 11.34228420 10.9645828 13.2764306 10.58465299 8.9469107 9.9288234
B434X 11.20981418 10.6948841 12.7791574 10.24367530 8.2637024 9.2599581
B569X 10.63755060 10.1358298 12.1570173 9.50953764 7.6996529 8.6490059
B691Y 10.89930530 10.6451319 12.4979297 10.18639926 8.5672535 9.6117085
B893 10.34035965 9.9677934 11.9264937 9.46866137 7.8773833 8.9831797
B954 12.32680799 11.3266484 14.3792708 11.43966337 8.7807738 10.2217342
C029O 18.04461482 17.5801662 16.8177246 17.69845742 18.6348760 17.7708515
C129Z 17.72736481 17.3727788 16.5161661 17.47300466 18.3485711 17.4533077
C139E 17.90789773 17.4086864 16.5799100 17.53302890 18.5873747 17.7030135
C229J 18.01227342 17.5508613 16.7406970 17.63243895 18.4857154 17.6979937
C249I 17.88738601 17.4214135 16.6796641 17.68824529 18.5576516 17.7028051
C329Z 17.93983230 17.4427241 16.6679398 17.63486086 18.5324323 17.6475159
C429I 17.73776495 17.3129449 16.6142033 17.62177685 18.3037733 17.5585259
C430E -8.53551771 -7.1244928 -13.0578060 -0.75621220 -1.5313746 -0.8097074
C439J 17.60126324 17.2101646 16.5281214 17.51115252 18.0597181 17.2371879
C447A 14.74417227 15.1726137 14.6907755 14.91485336 15.4093090 13.3056413
C449C 17.92246446 17.3843138 16.7297119 17.62542418 18.4538026 17.4517292
C459Z 18.04252762 17.5358819 16.7356592 17.57152898 18.4836478 17.6888931
C629X 18.03134853 17.6622171 16.8044475 17.84315475 18.6141905 17.7446226
C649I 17.94787237 17.4488601 16.6865355 17.65791664 18.5506102 17.8160426
C659M 17.97216886 17.4754486 16.6478660 17.57843487 18.5369752 17.6669415
C929I 17.86191625 17.3997944 16.6031835 17.54581770 18.4618479 17.6009512
2023-04-19 2023-04-20 2023-04-21 2023-04-22 2023-04-23 2023-04-24
0016A 8.7989438 8.488814 11.2308257 12.9017139 11.949202 13.223170
0076 8.3787684 8.311298 11.1615414 12.8696233 12.211771 13.023672
0149X 7.1609675 7.420119 9.9030401 11.1509038 10.486261 10.924151
0200E 6.2467905 6.683956 9.2082413 10.3949890 9.660032 10.159533
0252D 8.0704049 7.950579 11.0210386 12.4669594 12.036194 12.678253
0324A 5.0342651 5.902746 7.8317730 8.9173678 7.811819 7.773242
0367 7.9868779 8.179247 10.9486713 12.0298258 11.863076 12.258160
0372C 7.7759774 7.980336 10.7225710 11.8036555 11.392291 12.040952
1002Y 6.6274770 8.951451 7.9102778 10.4641615 9.997962 10.778822
1014 7.2293164 9.659504 8.3911292 10.9598928 10.957138 11.499282
1014A 7.0687544 9.498942 8.2626880 10.8314431 10.812633 11.354777
1024E 5.6320680 8.028475 7.1809942 9.6456107 9.678083 10.240630
1037Y 4.5204982 6.719116 6.0538483 8.8134913 8.986917 9.773633
1041A 7.3260734 9.891997 8.8993245 10.9215775 10.927280 11.345852
1050J 6.8218170 9.214243 8.3999130 10.5651843 10.671129 11.007678
1057B 6.8250209 9.368245 8.8028733 10.6557844 10.889721 11.060287
1078I 6.1627626 8.576695 8.1203215 10.2221788 10.706768 10.977336
1082 7.6007882 10.091830 9.3129221 11.0799837 11.434479 11.597508
1083L 7.3295366 9.865475 9.7599914 11.0631664 11.402341 11.550772
1109 8.0125731 10.271842 10.7155893 11.4350749 12.119431 12.145038
1111 7.4124129 9.637745 10.2606663 11.1455343 11.750735 11.963022
1111X 7.3123652 9.662757 10.2356556 11.1455343 11.750735 11.975528
1159 8.0163699 9.869150 10.7908536 11.5121638 12.432932 12.486024
1183X 8.3609023 10.063481 11.2441945 11.2926460 12.463011 12.660739
1207U 9.4449888 9.949635 11.2884721 11.0815154 12.814655 12.739652
1208H 8.9480702 9.802867 11.1874986 10.7327189 12.862730 12.700931
1210X 8.6564605 9.231724 10.6501440 9.9353228 12.422811 12.208263
1212E 9.0503865 9.185677 10.5900101 9.7242664 12.388811 12.131419
1221D 0.9229662 1.666477 0.9304131 0.9785860 4.729885 3.703279
1249X 7.5631537 8.068136 9.0485105 8.2873142 11.132878 10.813430
1283U 8.9437033 9.363013 10.2425787 9.8323851 12.850624 12.683132
1331A 9.1792611 9.685797 9.9177545 9.9391413 13.456907 13.347824
1351 8.7248326 9.504698 9.1065185 9.4605005 13.192649 13.134630
1387 9.0218077 9.800948 9.0149036 9.7367518 13.426966 13.467655
1387E 9.1286670 9.713920 9.0224210 9.5996864 13.237069 13.264631
1393 9.2186788 10.145093 9.0203867 9.9577571 13.665819 13.778307
1400 7.9057539 8.672496 7.9765967 8.4563868 12.459872 12.436357
1428 7.3251373 7.579410 7.3407595 7.3173632 11.539594 11.416584
1473A 9.0966057 9.754729 8.9460345 9.5730173 13.461811 13.545623
1475X 8.0524645 8.643697 8.0374923 8.3009184 12.383852 12.291765
1484C 8.6932744 9.643627 8.6462611 9.4537919 13.175422 13.316489
1495 7.7401680 8.437162 7.7206029 8.1512958 12.230446 12.247117
1505 6.9812754 7.321368 7.2692992 6.9108580 11.056478 10.762273
1542 1.1359378 1.182180 1.0579439 -0.3278538 4.394839 2.878408
1549 6.4683404 6.459340 7.1018027 6.4056497 10.119766 9.619542
1631E 4.6326655 4.559296 4.8907236 4.0541997 8.312976 7.721485
1690A 8.5161869 9.287244 8.4312835 9.1662667 12.919837 12.956571
1700X 7.1558715 7.500147 7.1924552 7.2028945 11.366864 11.183231
1735X 6.1406128 6.244353 6.3415229 5.6198430 9.798603 9.383623
2030 3.2697582 4.019194 3.9939832 5.0386443 3.728684 7.261870
2117D 4.5588064 6.118080 6.2537334 8.1768541 7.054633 8.972907
2150H 2.1790665 5.165231 5.0330500 1.6457844 1.458553 4.363176
2235U 0.7666317 2.278956 0.8632908 4.6798738 6.155233 6.179330
2298 3.0881588 4.916488 4.6698612 6.0321493 5.815806 7.599993
2331 3.2265717 4.762881 4.1271054 6.3665726 6.898042 8.206454
2400E 4.1061513 5.710775 5.4707100 6.8376197 7.131858 8.037939
2422 5.1335647 6.073460 5.9617943 7.7895015 7.286757 7.929571
2444 6.2127387 7.426498 7.4031008 6.3323250 5.200080 7.157191
2462 2.8441013 5.791549 4.8572211 1.0719688 1.846909 4.114662
2465 6.4942359 7.526701 7.7827354 7.3966401 5.485357 7.949095
2491C -0.4688295 3.682192 2.9342117 0.9903433 1.632981 1.908667
2539 5.0635742 6.061575 5.9042720 7.0701129 7.230772 7.622342
2614 5.9142250 6.260223 6.7312703 7.1689329 7.755301 7.546101
2661 4.5519014 5.139225 5.4505718 4.8533011 7.590318 6.918010
2737E 4.6488280 4.910775 4.8589690 3.9210704 7.058451 6.586566
2755X 5.3555984 6.290868 6.7225244 6.2918738 8.352712 7.693856
2775X 5.0769026 5.373717 5.7636862 4.7751783 7.793568 7.334432
2867 6.9461776 7.309235 7.3402361 7.1011302 6.909416 7.801972
2870 6.6177212 6.822370 6.9707944 6.9022639 6.814006 7.446128
2916A 6.1778322 6.285792 6.4781812 6.0981128 7.471071 7.704054
2946X 7.4753101 7.230896 7.5532070 6.8314176 7.901357 8.409028
3013 3.9664538 4.348948 5.1215003 6.1065449 3.077254 6.941129
3094B 7.2591428 7.603331 9.0337784 8.9262100 5.824454 8.555584
3100B 8.9901182 8.860811 10.5594734 11.5068501 7.732026 10.641990
3110C 6.5379553 7.518563 7.7187036 7.2639129 5.425259 8.113818
3111D 4.7822348 6.336473 5.9702701 4.1722008 3.583444 5.878169
3129 8.6648100 8.783837 9.8596669 10.3977607 7.246860 10.241078
3130C 5.4889547 6.241245 6.6502511 7.0301147 4.777170 8.109240
3168D 7.4543205 7.748928 8.7775798 9.3708151 6.357711 9.370639
3175 8.7465527 8.859384 9.9426289 10.6313069 7.339503 10.304110
3191E 6.7934174 7.618379 7.8652205 7.4500205 5.376920 8.122888
3195 8.2550798 8.395597 9.3783933 9.9446129 6.813354 9.744572
3196 8.2507809 8.500016 9.4093365 9.8729239 6.719380 9.674505
3200 8.5928847 8.592887 9.7502528 10.3064032 7.126153 9.938874
3260B 9.2114812 8.826826 9.9707247 11.2426059 7.244988 10.053889
3266A 4.8835290 6.896558 6.4730220 4.0924412 3.640419 5.633429
3338 8.1209669 8.397778 8.9360759 9.2420533 6.519800 9.112681
3365A 9.7657398 9.284099 10.2501317 11.6687388 8.151695 10.528211
3391 8.3473832 8.563485 9.2068968 10.0178118 7.126276 9.600259
3434X 10.5504088 9.905590 10.4435201 10.9503792 8.759503 11.171799
3469A 10.1478692 9.408851 9.7316741 9.7804007 8.457616 10.389999
3519X 9.2417767 8.763899 9.1597879 9.3010321 8.101796 9.552925
3526X 9.8200958 9.456554 9.8416688 10.0779220 8.910781 10.383336
3576X 9.8631394 9.406292 9.8443519 9.2272594 8.758034 10.552872
4061X 8.0730355 8.030598 10.0749557 10.4102720 6.715230 9.467076
4067 8.5912842 8.696184 10.3068117 10.5054029 7.031856 9.645373
4090Y 6.9029283 7.495561 10.0221434 10.3004652 6.775888 9.369966
4103X 8.3254376 8.614333 10.3567416 10.7409408 6.934532 9.555297
4121 9.2064333 8.844393 10.5384028 10.9277817 7.365397 9.980281
4147X 9.1326399 8.646536 10.8793875 11.1206168 7.615016 10.105767
4148 9.6939683 8.811276 11.1938891 11.1737053 8.075467 10.703845
4220X 9.3741208 9.141667 10.5074825 11.2089089 7.653664 10.127312
4244X 9.7757899 9.218584 10.0320550 10.7940984 7.880534 10.068480
4267X 10.3364751 9.623806 10.4585247 11.1348637 8.378291 10.674942
4358X 10.4377666 9.750448 10.5988294 11.1098651 8.970343 11.122689
4386B 9.6268079 8.814234 8.8000225 9.7449542 8.426817 10.407828
4410X 10.7364056 10.555087 11.4003444 11.4600957 9.902203 11.999913
4452 11.0825497 10.330448 11.6230131 11.7137376 10.193313 12.162621
4511C 10.9321433 10.295219 11.2041104 10.9614275 9.868633 11.790638
4549Y 12.8465294 11.759665 14.2152402 14.6287985 12.120693 14.145368
4560Y 10.5270300 10.019054 9.7684125 9.9592312 8.471781 10.257675
4642E 12.8766948 11.771077 14.3343410 14.4921770 12.112988 14.134942
5000C 13.4322680 11.953367 13.4195044 14.4784184 12.292881 13.715026
5047E 8.5753453 9.042534 10.8787279 10.6806883 8.149157 10.779819
5181D 8.7586228 9.083810 10.8131432 11.4831109 8.741865 10.489530
5192 6.0884358 6.756956 9.9403132 10.4099775 5.841136 8.687136
5246 9.3408666 8.799619 10.8088866 11.0404268 7.634257 9.938853
5270B 10.1910077 9.465144 10.6738718 11.6479636 8.539432 10.536213
5298X 11.5757219 10.275655 11.5710440 12.7717008 9.834930 11.705462
5390Y 10.2410606 9.080181 10.3854306 10.7420406 8.050557 10.609288
5402 11.4916251 10.382280 12.2834476 13.4065665 10.630767 12.202975
5427X 10.5528494 9.008647 10.0758220 10.8174867 7.999918 10.140622
5514 10.3917185 9.476794 10.5616607 11.2948802 8.578174 10.785503
5530E 10.9877011 10.015280 10.9938000 11.8866040 9.397111 11.398791
5582A 9.9996095 8.850797 9.9963282 10.2676211 7.519285 10.034270
5612B 11.8465555 10.308049 11.3936217 12.1851985 9.897214 11.772042
5641X 12.0100362 10.959190 12.4599206 13.5171827 11.047119 12.516382
5704B 11.0874957 10.232258 10.8712969 10.5557783 8.959571 11.063570
5783 12.6974313 11.520555 13.7625637 14.4266632 11.897595 13.685134
5796 12.9086124 11.581551 13.3789173 14.2278909 11.860840 13.644089
5860E 12.8523062 11.927933 14.1518765 14.4248907 12.208421 14.065666
5910 13.2516281 12.149432 13.9547848 14.6258953 12.680105 14.379932
5911A 10.1473819 7.810165 7.7937969 8.4697322 6.262021 8.985044
5960 13.4564988 12.354105 13.9942874 14.9954155 12.694778 14.470144
5972X 13.1042210 11.895873 13.9828550 14.6526599 12.553186 14.123772
5973 13.0674012 11.979723 14.0641419 14.8096483 12.575750 14.191039
5995B 12.9666743 11.481836 13.0265757 13.7083022 11.608608 13.227664
6000A 14.1890123 13.363816 12.5588251 14.9890497 14.393321 13.905212
6001 13.4989545 12.112133 13.9864626 14.8828706 12.756511 14.495858
6058I 13.3839012 12.087996 13.8083017 14.8324863 12.760625 14.119040
6106X 12.0137042 10.400081 11.4619749 12.1968210 9.954687 11.855697
6155A 13.6111847 12.390265 13.3666742 14.7415103 12.445247 13.865041
6156X 13.4693395 12.054283 12.9637276 14.2515706 12.180516 13.341967
6205X 13.7687149 12.401967 12.3918969 14.9743469 13.621015 13.408319
6277B 13.7559579 13.131845 12.0643952 14.8208149 14.378203 13.485652
6293X 14.1318961 13.930430 12.9026027 14.9198247 15.004709 14.560616
6302A 7.4956098 7.550647 9.0450077 9.8604869 6.230104 8.618503
6325O 13.3685049 13.615838 12.5157669 14.4891261 14.431314 14.110964
6367B 10.1963939 11.200085 11.2888693 12.7643670 11.933743 12.502768
7002Y 12.1255966 12.658609 11.8949828 13.2136977 13.952685 13.900952
7012C 11.5825773 11.892408 11.6907296 12.7773018 13.510892 13.941040
7031 11.4985250 11.995563 12.1192720 13.0191991 13.700786 13.857898
7031X 11.5852178 12.118471 12.1979329 13.0708604 13.784382 14.409916
7096B 6.1381205 7.616663 9.6385557 10.4446349 8.424934 9.955612
7119B 6.6846652 8.208068 9.9581227 10.9422871 8.898433 10.505641
7145D 9.2041378 10.237065 10.8575564 11.8121893 11.633146 12.523398
7178I 11.0570564 11.635688 11.7327485 12.6071174 13.332729 13.831685
7209 9.3355738 10.565708 10.9690846 12.2282695 11.634672 12.394332
7228 11.0344642 11.772010 11.8730690 12.7836083 13.367121 13.871476
7247X 5.8411988 7.734568 9.7425565 10.5579438 9.062552 10.689651
7275C 5.3067644 7.011642 9.3875537 10.2110575 8.183706 9.877841
8019 10.9676696 11.185246 12.0163701 12.6506100 12.961964 13.817679
8025 10.4550234 10.714929 11.7944142 12.4080465 12.587771 13.381114
8050X 10.7207176 10.609298 11.8826180 12.5259857 12.996087 13.800626
8096 3.1571430 3.904157 5.3084656 6.5295448 2.756678 6.830983
8175 5.8993039 6.966928 9.6288046 9.9874858 7.605230 9.749992
8177A 4.3794793 5.301914 8.0516588 8.9959756 5.965182 8.260272
8178D 6.0219600 7.136136 9.4842836 9.9678369 7.538419 9.550866
8293X 9.9626709 10.167624 11.7685388 12.2745911 12.387884 13.334340
8309X 4.8990947 6.174207 8.1373112 8.9486847 6.280506 8.865816
8325X 10.4597102 10.311439 12.2710202 12.8444804 12.892925 13.956751
8368U 4.5556513 5.391364 6.7589902 7.9816913 4.722990 7.939140
8414A 9.7774297 9.819418 11.8507010 12.4974104 12.620375 13.512079
8416 9.9250480 9.727877 11.8121121 12.5891575 12.677310 13.673679
8416Y 9.9250480 9.727877 11.8121121 12.5891575 12.689777 13.698614
8489X 3.2923600 5.424309 5.7531498 7.2062076 3.860175 6.764707
8500A 9.7308092 9.118524 11.8338278 12.7282051 12.209994 13.475492
9001D 2.5777337 4.482372 3.5617009 6.2920803 7.582568 7.882412
9019B 3.1526338 5.117114 4.5101191 7.2135126 8.228921 8.803079
9051 3.6082652 5.645026 5.1297116 7.9834450 8.933930 9.641491
9091O 3.8869446 6.070412 5.4144037 8.4701718 8.727592 9.803005
9091R 3.9814811 6.153705 5.4486019 8.5351314 8.830201 9.803003
9111 2.8945754 4.318879 3.7787311 6.4713864 6.914436 8.707520
9170 5.0635140 7.350303 6.4965133 9.1166891 9.195672 9.795899
9208E 3.3075278 3.409890 4.5378578 5.9332313 3.680119 4.251735
9244X 5.1658582 6.287396 6.5475919 8.5670003 7.098733 8.416594
9262 5.2996639 7.004383 6.5920401 8.8913389 8.398831 9.346823
9263D 5.4381440 7.192400 6.7447086 9.1269802 8.544572 9.342392
9263X 4.9929407 6.524809 6.3998405 8.5791618 7.717803 8.699836
9294E 6.3176978 7.880665 7.5140126 10.3920638 9.222432 10.626780
9381I 4.1345107 4.951918 5.9392928 7.4470684 4.498843 7.949978
9390 4.7305439 5.352513 6.3118817 8.3492508 5.234582 8.441384
9394X 6.0864244 6.334409 6.9968811 9.5139883 6.636343 9.842268
9434 7.5606758 7.624217 8.3606261 11.8911712 9.588201 12.021030
9434P 7.7246579 7.663128 8.6238526 11.8986726 9.463518 12.062631
9563X 2.2516794 2.788758 3.6180023 5.5970636 1.243647 5.608675
9569A 7.4095337 7.414430 9.3546375 10.8072428 8.692268 10.871743
9573X 8.2865721 8.000236 10.4329834 11.9418613 10.040144 11.792936
9585 0.2326122 1.808848 1.7731199 1.2497654 -1.360113 -1.607447
9619 5.0988436 5.919749 7.9185788 8.8375012 7.796306 7.975285
9698U 4.7136633 5.331766 7.0041772 7.9062631 6.640167 6.739205
9771C 8.4654899 7.887688 10.7989702 12.4794697 11.540478 12.404624
9784P 3.7844435 5.222477 6.3918738 6.9616329 5.344946 5.094087
9898 6.2535328 6.758939 7.8670881 9.8719672 7.761207 9.352102
9981A 9.2008695 8.653788 11.5490764 13.2384416 12.231788 13.451621
9990X 2.8186325 4.033346 5.2130926 5.5528175 4.354544 3.909512
B013X 7.0883895 7.770955 10.0747507 10.5726428 10.420365 11.168421
B228 8.9732753 8.578344 11.9990543 12.5490309 12.691264 13.299019
B248 2.8045643 4.077964 6.4004460 7.2275871 5.884669 5.778160
B278 9.3894759 9.112323 12.4926871 13.0719673 12.980392 13.640644
B434X 8.8097633 8.618312 12.0661317 12.6507986 12.776290 13.359307
B569X 8.3305152 8.157801 11.5745713 12.2758270 12.321979 12.921224
B691Y 9.2903159 8.962312 12.0290831 12.8746694 12.623597 13.423798
B893 8.6467130 8.785822 11.4418472 12.4049312 12.319040 12.852328
B954 9.7609473 9.552196 12.3033858 12.7238087 12.833663 13.635132
C029O 17.9977990 17.585980 16.7673633 17.3421357 18.292498 17.315963
C129Z 17.7086051 17.249251 16.3107841 16.9867743 17.903056 17.040731
C139E 17.9835680 17.479734 16.5511581 17.2205547 18.128240 17.246954
C229J 17.9143390 17.492836 16.5286366 17.2672199 18.117956 17.237978
C249I 17.8699237 17.504884 16.6800263 17.2521926 18.162349 17.285280
C329Z 17.8653999 17.531379 16.6500958 17.3017678 18.118647 17.231670
C429I 17.7611712 17.303778 16.3765938 17.1222436 17.910204 17.246012
C430E -1.9020324 -5.222353 -10.3060695 -9.9773324 -3.546319 -6.173253
C439J 17.6059131 17.214077 16.2190547 16.8791673 17.787525 17.157474
C447A 14.7028754 14.430581 13.0840646 13.9291833 14.990706 15.215444
C449C 17.7668691 17.422041 16.4659345 17.1738546 18.019259 17.276929
C459Z 17.9632861 17.493771 16.5626287 17.2175543 18.124129 17.269118
C629X 18.0038739 17.623996 16.7506126 17.4341600 18.236665 17.444151
C649I 17.9528198 17.604343 16.6620094 17.4018720 18.104284 17.270850
C659M 17.9038223 17.485467 16.5350399 17.2656877 18.102257 17.214669
C929I 17.7784537 17.377055 16.4898059 17.1873212 18.028189 17.141934
2023-04-25 2023-04-26 2023-04-27 2023-04-28 2023-04-29 2023-04-30
0016A 13.277566 14.252385 13.972266 14.3452553 15.476045 15.453837
0076 13.138686 13.963153 13.607033 13.9011979 15.895604 15.622890
0149X 11.800959 12.720471 12.939679 13.2048860 14.204742 13.779023
0200E 11.412714 12.193639 12.323890 12.5972164 13.675852 13.024673
0252D 13.043490 13.669730 13.379492 13.7629251 15.431597 15.228388
0324A 10.027560 10.911854 11.470289 11.9336605 12.292253 11.156713
0367 12.859799 13.511198 13.291197 13.7741242 15.131704 14.731240
0372C 12.707645 13.358731 13.092287 13.4947787 15.047203 14.800997
1002Y 13.660491 14.380021 13.918725 13.5648505 14.554933 12.859034
1014 14.751414 15.471052 14.605893 13.5607013 15.060880 14.012175
1014A 14.606908 15.310630 14.445471 13.4322642 14.884263 13.851651
1024E 13.100889 13.893385 13.336572 12.7343117 14.113632 12.220646
1037Y 11.947194 12.844731 12.381940 11.7787814 13.280664 10.812972
1041A 14.659334 15.425103 14.562759 13.7034366 14.951912 13.831260
1050J 14.032992 14.752839 14.097260 13.2929877 14.549010 13.058454
1057B 14.260521 14.938481 14.164800 13.2132699 14.668373 13.327585
1078I 13.434031 14.380242 13.490398 12.4345435 14.005528 12.312405
1082 14.633448 15.319825 14.446910 13.5643488 14.892063 13.707308
1083L 14.601965 15.367058 14.330644 13.3372971 14.824084 13.643288
1109 14.970037 15.642177 14.503742 13.4875260 14.801151 13.899504
1111 14.583417 15.447500 14.295832 13.2658818 14.648078 13.574529
1111X 14.520887 15.385858 14.369799 13.2158579 14.623066 13.574529
1159 14.717973 15.439352 14.304506 13.2135368 14.717117 13.776755
1183X 14.854309 15.643466 14.535518 13.4977507 14.804169 14.078467
1207U 15.142067 15.546789 14.598895 13.7484201 14.590867 14.139524
1208H 15.044432 15.669810 14.564562 13.8130028 14.622251 14.232835
1210X 14.479354 15.123445 14.254786 13.5500228 14.156563 13.580016
1212E 14.333222 14.960596 14.144271 13.5484679 13.949793 13.477056
1221D 5.126400 5.673824 7.923227 7.7291590 7.392473 2.644360
1249X 12.948566 13.506327 13.123893 12.5272350 12.913323 11.761091
1283U 14.513376 15.241610 14.102786 13.3997196 13.827165 13.574969
1331A 14.261841 15.048828 13.798833 13.2098014 13.670450 13.470102
1351 13.899260 14.700276 13.391454 12.9906773 13.288271 13.041214
1387 13.813682 14.624356 13.168645 12.9635578 13.314274 12.994323
1387E 13.637526 14.512708 13.195099 13.0119452 13.233108 12.870688
1393 14.011240 14.792494 13.282135 13.0432698 13.477053 13.071013
1400 12.624699 13.584751 12.464811 12.2287605 12.317632 11.784814
1428 11.761972 12.751435 12.071180 11.7994309 11.770197 10.822114
1473A 13.725394 14.720454 13.317350 13.0001382 12.956621 12.823493
1475X 12.580513 13.530685 12.458664 12.1989525 12.328521 11.690251
1484C 13.470624 14.322170 12.938222 12.7676466 12.827480 12.688782
1495 12.363462 13.281375 12.281200 12.0633964 12.198308 11.458826
1505 11.616119 12.417911 12.020449 11.6082235 11.720137 10.384721
1542 4.544964 4.998756 7.528173 7.3226870 6.618814 2.684093
1549 11.208982 11.741259 12.047312 11.4766216 11.449915 10.045049
1631E 9.063438 9.567254 10.586770 10.0246046 9.582324 7.562002
1690A 13.258409 14.053010 12.780744 12.5800628 12.820825 12.440764
1700X 11.571821 12.512231 11.901848 11.6331988 11.697558 10.666690
1735X 10.162321 11.140914 11.370434 11.1048716 10.982914 9.369438
2030 7.200690 8.204540 8.942731 10.7238835 8.944375 6.399727
2117D 9.367269 10.625011 11.621822 12.2032881 12.460695 9.243898
2150H 6.063075 7.832398 9.932828 11.7815481 7.053574 3.700553
2235U 6.464669 8.135555 9.045633 7.3869919 8.972956 5.100544
2298 8.568308 9.246944 9.923353 10.8942179 10.061011 7.264696
2331 8.849334 10.352679 10.342176 10.3520072 10.448289 7.528836
2400E 9.025472 10.028080 11.100332 11.1484767 10.998768 8.080968
2422 9.034321 9.751569 11.657461 11.8901620 11.878639 9.168148
2444 9.018120 10.023981 12.301139 14.1916760 11.535509 9.058327
2462 6.152151 7.700232 9.550459 12.1426683 6.494122 3.072149
2465 9.362171 10.396713 12.135207 14.3814183 12.192755 9.610506
2491C 4.481575 6.087889 9.415451 8.5742222 5.612991 2.230598
2539 8.932472 9.628684 11.535499 11.8615742 11.603609 8.779763
2614 9.236230 9.609766 11.799443 12.0629871 11.978998 9.948273
2661 8.957415 9.569505 10.816040 10.2898269 10.273320 7.560163
2737E 8.325626 8.978617 10.402749 10.1775471 9.460740 6.951687
2755X 9.907133 10.307196 11.742618 11.4510200 11.442048 9.233177
2775X 8.964506 9.699246 11.176529 10.9149586 10.553399 8.284393
2867 9.587257 9.901470 12.613020 13.3365379 12.262071 10.299739
2870 9.270638 9.505947 12.332059 12.9677167 11.878309 10.172886
2916A 9.423676 9.499649 11.977716 12.3490994 11.793938 10.034543
2946X 10.057968 9.926070 12.778774 13.7637237 12.816010 11.197995
3013 7.247971 7.553320 8.843682 11.5838919 10.530822 8.069069
3094B 10.416294 10.891232 12.104187 15.6033404 14.211311 11.276215
3100B 12.026568 12.420418 13.618727 16.7917931 16.502495 13.540758
3110C 9.406456 10.393739 12.134345 14.5340428 11.996057 9.319283
3111D 7.725961 8.877391 10.775610 12.7857655 9.311238 6.460299
3129 11.512000 12.080937 13.390959 16.6112589 15.429749 12.654241
3130C 8.770927 9.555780 10.906607 13.1714280 11.413446 8.682817
3168D 10.538587 11.104616 12.428524 15.5649052 14.361351 11.438208
3175 11.682424 12.114279 13.398466 16.6266021 15.636997 12.840283
3191E 9.551336 10.425874 12.097387 14.7500844 12.327006 9.707992
3195 11.048791 11.645509 13.021206 16.0690032 14.856869 12.205510
3196 10.995330 11.558582 13.042080 16.0613058 14.655136 12.107760
3200 11.360220 11.760891 13.200911 16.3127291 15.076700 12.632414
3260B 11.538902 11.920228 13.526395 16.7876912 15.839439 13.488098
3266A 7.763074 8.996239 11.026302 13.3365777 9.533590 6.452288
3338 10.580034 11.222115 13.019849 15.7213293 13.839210 11.622990
3365A 11.693078 12.220989 13.775357 16.9268288 16.467345 14.595303
3391 10.754974 11.516828 13.164440 15.7648813 14.622524 12.288639
3434X 12.076840 12.016169 14.392366 17.1854955 16.101625 14.817726
3469A 11.698767 11.582064 14.269734 16.5016664 15.305860 13.639715
3519X 10.959416 10.835619 13.358815 15.6762931 14.688722 13.175345
3526X 11.582225 11.332918 14.141175 16.7482676 15.600999 14.060959
3576X 12.054925 11.956466 14.400294 16.4118325 15.150976 13.437188
4061X 11.485455 11.839883 12.617719 16.5542820 15.748719 12.487214
4067 11.554364 11.928532 13.261011 16.8466492 15.738520 12.723433
4090Y 11.445852 11.892671 12.043993 15.6118448 15.721488 12.467663
4103X 11.698797 12.072822 13.008353 16.9859337 16.096691 13.002543
4121 12.195293 12.539604 13.886083 17.5466404 16.188845 13.374444
4147X 12.556319 12.878096 13.877536 17.8210723 16.440115 13.363344
4148 13.259731 13.911309 15.080113 18.8239247 16.587962 13.737218
4220X 12.066143 12.457409 14.105750 17.2476738 16.308165 13.689948
4244X 11.788362 11.962677 13.879564 17.1444157 15.735157 13.636259
4267X 12.740340 13.255216 15.449150 18.0099087 16.111432 13.741730
4358X 12.235536 12.184009 14.636402 17.4444694 16.544487 14.386292
4386B 12.761079 13.437378 15.275121 17.9526647 15.199481 12.736981
4410X 13.268303 13.100521 15.220861 17.9691661 16.844765 14.816752
4452 13.311733 13.275870 15.482752 17.7000996 17.116878 15.090887
4511C 13.537928 13.695322 15.809532 17.7248853 16.280261 14.136613
4549Y 14.590641 14.955008 17.157987 17.4505173 17.968959 16.311618
4560Y 12.309325 12.470240 15.409402 18.2878895 15.636986 12.729161
4642E 14.737698 15.364221 17.220358 17.5273655 17.989570 16.281764
5000C 14.345092 15.256204 16.945563 17.7670352 17.871182 16.228284
5047E 12.735960 13.960336 14.617863 17.4827411 16.827988 13.802036
5181D 12.257601 13.203737 13.280279 16.7870747 17.110730 14.472018
5192 11.353154 11.669721 11.944864 16.2379397 15.842991 12.160849
5246 12.522141 12.825925 14.184641 18.0853511 16.593309 13.627738
5270B 12.518391 13.000655 14.571468 18.0118905 16.856557 14.206551
5298X 12.707036 12.947060 14.681529 17.9382917 17.613008 15.307663
5390Y 13.177165 13.611578 15.477672 18.7345903 16.258528 13.929097
5402 12.765663 13.340299 15.139836 17.7137511 17.690393 15.528220
5427X 12.362152 12.856924 15.146610 18.6314676 16.726574 13.776522
5514 12.715904 13.650940 15.539910 18.4480019 16.736615 14.259989
5530E 13.186072 13.917681 15.560395 18.6283697 17.114729 14.767007
5582A 12.576761 13.417743 15.936508 18.6565286 16.348907 13.426734
5612B 13.278092 14.108180 16.064215 18.4836283 17.352468 14.755284
5641X 13.234528 14.131507 15.762286 17.6466553 17.532653 15.568117
5704B 13.706730 14.157611 16.652538 18.8769281 16.347199 13.501829
5783 14.249068 14.754154 16.793226 17.3862883 17.792848 15.930469
5796 14.250595 15.001605 16.741366 17.7455862 17.732463 16.009396
5860E 14.647387 15.196608 17.160523 17.6308254 17.968175 16.208761
5910 15.041709 15.823051 17.314552 17.3838203 18.021009 16.277465
5911A 12.402027 13.161224 16.239739 19.5852075 14.665396 11.939090
5960 15.033930 15.750371 17.398313 17.7677478 18.139844 16.642721
5972X 14.737933 15.402529 16.934140 17.5938551 17.962126 16.386580
5973 14.690683 15.447329 16.925570 17.3559824 17.989435 16.363960
5995B 14.307784 14.991352 16.957178 18.0041247 17.610188 15.681215
6000A 14.255783 15.142769 14.879673 17.5689384 18.379208 17.762737
6001 14.728290 15.685674 17.121229 17.6893167 18.029713 16.485481
6058I 14.432885 15.340704 16.749617 17.6674508 18.052684 16.519806
6106X 13.365352 14.129938 16.130879 18.4315825 17.212558 14.813452
6155A 14.043629 14.788523 15.830740 17.7908405 18.108830 16.440926
6156X 13.901034 14.473700 15.772671 17.6317580 17.916139 16.154255
6205X 13.717971 14.651804 15.109206 17.6743398 18.316134 17.260444
6277B 13.643018 14.598146 14.584994 17.0976631 18.317631 17.852376
6293X 14.545702 15.857313 15.025997 17.7528695 18.893737 18.554107
6302A 10.748014 11.829587 13.228613 17.4028470 16.162073 13.184261
6325O 14.172755 15.341843 14.707262 16.5514455 18.684868 18.228777
6367B 13.092962 14.471918 14.025163 15.8531249 17.797907 16.224037
7002Y 13.854974 15.310516 15.246197 15.7753914 18.479363 17.534927
7012C 13.648836 15.167440 15.119984 15.2973698 18.217222 17.104403
7031 14.053763 15.540408 15.047203 15.3434857 18.404988 17.095205
7031X 14.042225 15.495861 15.027281 15.4951309 18.307350 17.081366
7096B 11.440312 12.681957 11.693253 14.4427234 16.067551 13.551400
7119B 11.815292 13.198091 12.220391 15.1504710 16.194987 13.846953
7145D 12.901662 14.400030 13.763515 14.8697341 17.420484 15.822813
7178I 13.640509 15.047806 14.856905 15.3007383 18.143648 16.975968
7209 12.869128 14.374139 13.842825 15.3154652 17.518768 16.023646
7228 13.687859 15.251957 14.943339 15.4210572 18.228867 17.049168
7247X 11.745746 13.218368 11.775055 13.9763084 16.382128 14.192710
7275C 11.298911 12.770001 11.320353 13.8994836 15.889259 13.410576
8019 13.867414 14.951203 14.812537 15.0488288 17.871568 16.496570
8025 13.536748 14.731537 14.438617 14.8675439 17.573241 16.064380
8050X 14.107068 14.912900 14.530294 14.8669396 17.557326 16.219832
8096 7.421940 7.807233 8.515031 11.2752571 10.849320 8.414250
8175 11.249935 12.397593 11.519703 14.4213956 15.796412 13.055549
8177A 9.909872 10.988621 9.947473 14.3014671 15.027496 11.901330
8178D 11.012762 12.093612 11.547256 14.6190654 15.666694 12.934559
8293X 13.636820 14.796046 13.961311 14.5834959 17.421613 15.917341
8309X 9.904120 10.842335 10.414701 13.1896922 14.056583 11.323876
8325X 13.931722 15.270706 14.455187 14.8307011 17.671345 16.227487
8368U 8.457868 9.128278 9.675276 12.3402549 11.908430 9.556533
8414A 13.795324 14.810368 13.835496 14.4752488 17.055755 15.790537
8416 13.814305 14.775001 13.845343 14.3982583 17.166258 15.883463
8416Y 13.814305 14.787466 13.870272 14.3982583 17.166258 15.907831
8489X 7.434088 8.442632 9.828529 11.9311966 10.624681 8.325211
8500A 13.710649 14.577554 13.690377 14.3723789 16.263681 15.442680
9001D 8.462094 9.910822 9.671018 9.3796770 10.363741 7.237418
9019B 9.422412 11.072399 10.585066 9.9879516 10.975482 8.255115
9051 10.514814 11.908027 11.202650 10.2075429 11.754949 9.268014
9091O 11.138411 12.192402 11.815522 11.0041555 12.646355 9.963773
9091R 11.168368 12.171329 11.815419 11.0488705 12.487586 9.965782
9111 9.171078 10.592724 10.256485 9.7851978 10.643363 7.747197
9170 12.329996 13.064443 12.717578 12.2896121 13.445543 11.337341
9208E 7.612946 7.966398 8.545930 10.3507742 9.979661 8.501844
9244X 10.671784 11.215713 11.658656 12.6520882 12.923337 10.190296
9262 11.852214 12.562869 12.478235 12.7600567 13.361195 10.973427
9263D 11.826610 12.536472 12.558546 12.8620758 13.499134 11.005046
9263X 11.110796 11.830416 11.973810 12.7001107 13.085426 10.545835
9294E 13.011328 13.879535 13.371920 13.4789340 14.489614 12.487289
9381I 8.213708 8.735767 9.450799 11.8152779 11.448234 9.244131
9390 8.985699 9.517682 10.170804 12.0344336 11.823989 9.899646
9394X 10.609003 11.437949 11.555960 13.3670102 13.027921 11.033514
9434 13.156781 14.231662 13.821993 14.4418683 14.784956 13.429242
9434P 13.014919 14.065455 13.638803 14.4785367 14.778935 13.552924
9563X 5.788753 6.311467 6.946084 10.5290920 10.103948 7.837992
9569A 11.536186 12.282126 12.286657 13.7412637 13.849249 12.624110
9573X 12.600118 13.374817 13.144698 14.3044947 14.571006 13.563560
9585 6.217700 6.459110 8.260273 9.7790534 6.629160 4.955105
9619 10.211423 10.956139 11.462921 12.0592842 12.275447 11.270066
9698U 9.538371 10.249189 11.123249 11.6639230 11.436265 10.268403
9771C 12.934789 13.708186 13.460708 14.1442285 14.703740 14.826082
9784P 9.017730 9.671924 10.740081 11.9603010 11.102497 8.741634
9898 11.240746 12.034702 12.239357 13.4308352 13.195674 11.698847
9981A 13.949509 14.441711 13.668163 14.1641073 15.556550 15.198680
9990X 7.857074 8.726083 10.208010 10.6126842 10.227053 7.872076
B013X 12.503968 12.512727 12.528300 13.4142737 13.961489 12.806213
B228 13.770680 14.111620 13.249979 13.9302157 16.091659 15.574919
B248 7.653109 9.751336 10.282156 11.5397083 11.485879 9.020948
B278 14.207564 14.263214 13.831838 14.4669402 16.534685 15.991155
B434X 13.879839 14.165750 13.525239 14.2128068 16.497692 15.687334
B569X 13.629337 13.867691 13.036184 13.7652604 16.083940 15.279111
B691Y 13.887900 14.386815 13.624822 14.4841415 16.313938 15.615953
B893 13.461828 14.037910 13.588169 13.9725063 16.030366 15.366494
B954 13.997476 14.859963 13.989125 14.4648484 17.099846 16.032063
C029O 17.600141 17.842535 17.948127 17.4064224 18.774790 19.976946
C129Z 17.411935 17.586806 17.736680 17.2097014 18.567408 19.779953
C139E 17.518902 17.789815 17.937442 17.3696349 18.714666 19.834859
C229J 17.563099 17.740496 17.825689 17.3345385 18.647845 19.814348
C249I 17.444935 17.744471 17.916292 17.4316416 18.726889 19.823036
C329Z 17.551266 17.743250 17.946016 17.3819097 18.711535 19.916459
C429I 17.573627 17.714731 17.757169 17.3256012 18.655268 19.728143
C430E -5.421576 -3.081928 -2.653272 -0.7588585 4.379377 13.580454
C439J 17.503492 17.611403 17.745226 17.2298145 18.591561 19.698034
C447A 15.820602 15.579042 15.623712 15.5451294 16.553344 17.365508
C449C 17.543172 17.689075 17.821004 17.2658671 18.620860 19.793105
C459Z 17.622042 17.723694 17.899471 17.3313497 18.720249 19.971308
C629X 17.622259 17.831266 17.941500 17.3734399 18.803709 20.014588
C649I 17.561490 17.763544 17.939318 17.4175754 18.593989 19.864344
C659M 17.499485 17.668163 17.853083 17.2776708 18.667134 19.917685
C929I 17.412182 17.598637 17.753714 17.3030403 18.554590 19.831504Interpolator calibration
We can manually change the interpolator parameters for MinTemperature with set_interpolation_params(), but we can directly update the interpolator:
Interpolator calibration
We should calibrate for all variables, luckly we can pipe the process:
interpolator <- interpolator |>
interpolator_calibration(
update_interpolation_params = TRUE,
variable = "MaxTemperature",
N_seq = seq(15, 30, by = 15),
alpha_seq = seq(1, 10, by = 9)
) |>
interpolator_calibration(
update_interpolation_params = TRUE,
variable = "DewTemperature",
N_seq = seq(15, 30, by = 15),
alpha_seq = seq(1, 10, by = 9)
) |>
interpolator_calibration(
update_interpolation_params = TRUE,
variable = "Precipitation",
N_seq = seq(15, 30, by = 15),
alpha_seq = seq(1, 10, by = 9)
) |>
interpolator_calibration(
update_interpolation_params = TRUE,
variable = "PrecipitationAmount",
N_seq = seq(15, 30, by = 15),
alpha_seq = seq(1, 10, by = 9)
) |>
interpolator_calibration(
update_interpolation_params = TRUE,
variable = "PrecipitationEvent",
N_seq = seq(15, 30, by = 15),
alpha_seq = seq(1, 10, by = 9)
)
get_interpolation_params(interpolator)Interpolator calibration
$initial_Rp
[1] 6.405216
$iterations
[1] 3
$alpha_MinTemperature
[1] 1
$alpha_MaxTemperature
[1] 10
$alpha_DewTemperature
[1] 10
$alpha_PrecipitationEvent
[1] 10
$alpha_PrecipitationAmount
[1] 1
$alpha_Wind
[1] 3
$N_MinTemperature
[1] 30
$N_MaxTemperature
[1] 15
$N_DewTemperature
[1] 15
$N_PrecipitationEvent
[1] 15
$N_PrecipitationAmount
[1] 15
$N_Wind
[1] 2
$St_Precipitation
[1] 5
$St_TemperatureRange
[1] 15
$pop_crit
[1] 0.5
$f_max
[1] 0.6
$wind_height
[1] 10
$debug
[1] FALSEInterpolation validation
(let’s be sure we have good enough data to interpolate correctly)
Interpolation cross-validation
Interpolation cross-validation
Visualizing cross validation values
library(ggplot2)
cross_validation$dates_stats |>
ggplot() +
geom_violin(
aes(y = MinTemperature_date_bias, x = ""),
colour = "#475E5B", size = 1
) +
geom_jitter(
aes(y = MinTemperature_date_bias, x = ""),
alpha = 0.3, size = 4, width = 0.05, colour = "#475E5B"
) +
geom_hline(yintercept = 0, colour = "#475E5B", size = 1, linetype = 3) +
theme_minimal() +
labs(
x = "Density", y = "Bias",
title = "MinTemperature Bias",
subtitle = "for dates"
)Visualizing cross validation values
Visualizing cross validation values
library(ggridges)
cross_validation$station_stats |>
dplyr::select(dplyr::contains("station_bias")) |>
tidyr::pivot_longer(cols = dplyr::everything(), names_to = "Variable", values_to = "Bias") |>
dplyr::mutate(Variable = stringr::str_remove(Variable, "_station_bias")) |>
ggplot(aes(x = Bias, y = Variable, fill = Variable)) +
geom_density_ridges2(scale = 3) +
geom_vline(xintercept = 0, size = 1, linetype = 5, alpha = 0.5) +
theme_minimal() +
labs(
y = "",
title = "All variables bias", subtitle = "for stations"
)Visualizing cross validation values
Real Case
(final exercise)
Interpolation of Riaño mountains area for May 2023
Let’s interpolate the weather for the Riaño county (in León, NW, Spain) for the month of May, 2023. For that, we will need:
- Obtain the topography for the Riaño county
- Obtain the reference meteo for near stations for May 2023
- Create the interpolator object
- Interpolate the data.
Interpolation of Riaño mountains area for May 2023
meteoland 2023-06-12