SCOPE Climate (Spatially COherent Probabilistic Extended Climate dataset) is a 25-member ensemble of 142-year high-resolution reconstructions of precipitation, temperature and Penmann-Monteith reference evapotranspiration over France, from 1 January 1871 to 29 December 2012. SCOPE Climate results from the statical downscaling of the global extended reanalysis 20CR V2 with the SCOPE method (Caillouet et al., 2016, 2017). SCOPE Climate provides an ensemble of 25 equally-plausible spatially-coherent gridded multivariate time series. Data are available at a daily time step on a 8 km grid over France as 25 files in NetCDF format. Reconstructed values cover grid cells located only within metropolitan France national borders (including Corsica). The SCOPE Climate dataset is fully described by Caillouet et al. (2019). This dataset provides reconstructions of precipitation as a 25-member ensemble of gridded time series. Precipitation values from member 1 should be used with reconstructed temperature/evapotranspiration values from member 1 (and so on). The corresponding temperature dataset can be found at http://doi.org/10.5281/zenodo.1299712, and the evapotranspiration dataset at http://doi.org/10.5281/zenodo.1251843.

{"references": ["Caillouet, L., Vidal, J.-P., Sauquet, E., Graff, B., & Soubeyroux, J.-M. (2019) SCOPE Climate: a 142-year daily high-resolution ensemble meteorological reconstruction dataset over France, Earth System Science Data, 11, 241-260, https://doi.org/10.5194/essd-11-241-2019,", "Caillouet, L., Vidal, J.-P., Sauquet, E., Devers, A. & Graff, B. (2017) Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871. Hydrology and Earth System Sciences, 21, 2923-2951. http://dx.doi.org/10.5194/hess-21-2923-2017", "Caillouet, L., Vidal, J.-P., Sauquet, E. & Graff, B. (2016) Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France. Climate of the Past, 12, 635-662. http://dx.doi.org/10.5194/cp-12-635-2016"]}

This work was funded by Irstea and CNR.