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|Title:||ELPIS: A Dataset of Local-Scale Daily Climate Scenarios for Europe|
|Authors:||SEMENOV Mikhail; DONATELLI Marcello; CHATZIDAKI EFTHYMIA; STRATONOVITCH Marc; BARUTH Bettina|
|Citation:||CLIMATE RESEARCH vol. 44 p. 3-15|
|Type:||Articles in periodicals and books|
|Abstract:||We developed a dataset of local-scale daily climate scenarios for Europe. This 3 dataset is based on the 25 km grid interpolated daily precipitation, minimum and maximum temperature and radiation from the European CGSM meteorological data and climate predictions from the 6 multi-model ensemble of fifteen global climate models used in the IPCC 4th Assessment Report. The site parameters for the distributions of climatic variables have been estimated by the LARS-WG weather generator for nearly 12000 grids for the ¿baseline¿ period of 1982- 9 2008. Using changes in climate predicted by global climate models, we perturbed site parameters for the baseline climate in order to be able to generate local-scale daily climate scenarios for the 2020s, 2045s and 2080s and several emission scenarios. The ability of 12 LARS-WG to reproduce observed weather for the period of 1982-2008 was assessed using statistical tests. This dataset was designed to be used in conjunction with process-based impact models, such as crop simulation models, for assessment of the impacts of climate 15 change in Europe. A climate scenario generated by LARS-WG for a grid represents daily weather for the baseline or future periods at a typical site from this grid used for agricultural production. This makes it different from the recently developed E-OBS gridded dataset which 18 gives the best estimate of grid box averages to enable direct comparison with regional climate models.|
|JRC Institute:||Sustainable Resources|
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