Tool to visualize and download climate change projections for Spain
Spanish automatic meteorological stations network
Automatic meteorological station network from the Pais Valencia meteorology association
Downscaled model output temperature and precipitation estimates
High-resolution (1 km) daily climate data (precipitation, minimum and maximum temperatures) for Europe from the European climatic database
Monthly-averaged reanalysis data
Land-surface model forced by ERA5 with lapse-rate correction
The CORDEX regional climate model (RCM) simulations for the European domain (EURO-CORDEX)
The flux measurement sites are linked across a confederation of regional networks in North, Central and South America, Europe, Asia, Africa, and Australia, in a global network, called FLUXNET.
The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms that separately estimate the different components of land evaporation
Global nitrogen deposition (2°×2.5° grid resolution) simulated with GEOS-Chem for 1984-1986, 1994-1996, 2004-2006, and 2014-2016
High-resolution (1 km) all-sky net radiation over Europe enabled by the merging of land surface temperature retrievals from geostationary and polar-orbiting satellites
High-resolution paleoclimate data for use in biological modeling and GIS
The RCP database aims at documenting the emissions, concentrations, and land-cover change projections of the so-called “Representative Concentration Pathways” (RCPs).
A series of high-resolution daily precipitation and (maximum and minimum) temperature gridded datasets developed for peninsular Spain and the Balearic islands.
A series of high-resolution monthly precipitation and (maximum and minimum) temperature gridded datasets developed for peninsular Spain and the Balearic islands.
Catalonian automatic meteorological stations network
Campus de Bellaterra (UAB) Edifici C
08193 Cerdanyola del Vallès
This action is part of the Severo Ochoa "ULandscape" funded in 2019 by the Agencia Estatal de Investigación of the Spanish Ministry of Science and Innovation to support Research Centres of Excellence.