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SCOPE Climate: a 142-year daily high-resolution ensemble meteorological reconstruction dataset over France.

Authors :
Caillouet, Laurie
Vidal, Jean-Philippe
Sauquet, Eric
Graff, Benjamin
Soubeyroux, Jean-Michel
Source :
Earth System Science Data Discussions. 2018, p1-26. 26p.
Publication Year :
2018

Abstract

SCOPE Climate (Spatially COherent Probabilistic Extended Climate dataset) is a 25-member ensemble of 142-year daily high-resolution reconstructions of precipitation, temperature and Penman-Monteith reference evapotranspiration over France, from 1 January 1871 to 29 December 2012. SCOPE Climate provides an ensemble of 25 spatially coherent gridded multivariate time series. It is derived from the statistical downscaling of the Twentieth Century Reanalysis (20CR) by the SCOPE method (Spatially COherent Probabilistic Extended method) which is based on the analogue approach. SCOPE Climate performs well in comparison to both dependent and independent data for precipitation and temperature. The ensemble aspect corresponds to the uncertainty related to the SCOPE method. SCOPE Climate is the first century-long gridded high-resolution homogeneous dataset available over France and thus paves the way for improving the knowledge on specific past meteorological events or for improving the knowledge on climate variability since the end of the 19th century. This dataset has also been designed as a forcing dataset for long-term hydrological applications and studies of the hydrological consequences of climate variability over France. SCOPE Climate is freely available for any non-commercial use, and can be downloaded as NetCDF files from ttp://doi.org/10.5281/zenodo.1299760 for precipitation, ttp://doi.org/10.5281/zenodo.1299712 for temperature, and ttp://doi.org/10.5281/zenodo.1251843 for reference evapotranspiration. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663591
Database :
Academic Search Index
Journal :
Earth System Science Data Discussions
Publication Type :
Academic Journal
Accession number :
133817823
Full Text :
https://doi.org/10.5194/essd-2018-79