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• W1844649514 startingPage "635" @default.
• W1844649514 abstract "Abstract. This work proposes a daily high-resolution probabilistic reconstruction of precipitation and temperature fields in France over the 1871–2012 period built on the NOAA Twentieth Century global extended atmospheric reanalysis (20CR). The objective is to fill in the spatial and temporal data gaps in surface observations in order to improve our knowledge on the local-scale climate variability from the late nineteenth century onwards. The SANDHY (Stepwise ANalogue Downscaling method for HYdrology) statistical downscaling method, initially developed for quantitative precipitation forecast, is used here to bridge the scale gap between large-scale 20CR predictors and local-scale predictands from the Safran high-resolution near-surface reanalysis, available from 1958 onwards only. SANDHY provides a daily ensemble of 125 analogue dates over the 1871–2012 period for 608 climatically homogeneous zones paving France. Large precipitation biases in intermediary seasons are shown to occur in regions with high seasonal asymmetry like the Mediterranean. Moreover, winter and summer temperatures are respectively over- and under-estimated over the whole of France. Two analogue subselection methods are therefore developed with the aim of keeping the structure of the SANDHY method unchanged while reducing those seasonal biases. The calendar selection keeps the analogues closest to the target calendar day. The stepwise selection applies two new analogy steps based on similarity of the sea surface temperature (SST) and the large-scale 2 m temperature (T). Comparisons to the Safran reanalysis over 1959–2007 and to homogenized series over the whole twentieth century show that biases in the interannual cycle of precipitation and temperature are reduced with both methods. The stepwise subselection moreover leads to a large improvement of interannual correlation and reduction of errors in seasonal temperature time series. When the calendar subselection is an easily applicable method suitable in a quantitative precipitation forecast context, the stepwise subselection method allows for potential season shifts and SST trends and is therefore better suited for climate reconstructions and climate change studies. The probabilistic downscaling of 20CR over the period 1871–2012 with the SANDHY probabilistic downscaling method combined with the stepwise subselection thus constitutes a perfect framework for assessing the recent observed meteorological events but also future events projected by climate change impact studies and putting them in a historical perspective." @default.
• W1844649514 created "2016-06-24" @default.
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• W1844649514 date "2016-03-16" @default.
• W1844649514 modified "2023-10-14" @default.
• W1844649514 title "Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France" @default.
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• W1844649514 cites W1664339048 @default.
• W1844649514 cites W1706440714 @default.
• W1844649514 cites W1749048564 @default.
• W1844649514 cites W1845589823 @default.
• W1844649514 cites W1870870246 @default.
• W1844649514 cites W1966692019 @default.
• W1844649514 cites W1968385415 @default.
• W1844649514 cites W1969698259 @default.
• W1844649514 cites W1972445864 @default.
• W1844649514 cites W1979110338 @default.
• W1844649514 cites W1983051211 @default.
• W1844649514 cites W1984113680 @default.
• W1844649514 cites W1986385735 @default.
• W1844649514 cites W1987704118 @default.
• W1844649514 cites W1993676394 @default.
• W1844649514 cites W2000567424 @default.
• W1844649514 cites W2005737107 @default.
• W1844649514 cites W2006165291 @default.
• W1844649514 cites W2007565090 @default.
• W1844649514 cites W2009361981 @default.
• W1844649514 cites W2016052791 @default.
• W1844649514 cites W2021869139 @default.
• W1844649514 cites W2024585717 @default.
• W1844649514 cites W2026489206 @default.
• W1844649514 cites W2034673403 @default.
• W1844649514 cites W2037263669 @default.
• W1844649514 cites W2037302055 @default.
• W1844649514 cites W2040297443 @default.
• W1844649514 cites W2045317750 @default.
• W1844649514 cites W2047005369 @default.
• W1844649514 cites W2051811265 @default.
• W1844649514 cites W2052843230 @default.
• W1844649514 cites W2063499040 @default.
• W1844649514 cites W2068647183 @default.
• W1844649514 cites W2068787722 @default.
• W1844649514 cites W2070261143 @default.
• W1844649514 cites W2072200352 @default.
• W1844649514 cites W2073077681 @default.
• W1844649514 cites W2081531697 @default.
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• W1844649514 cites W2087037513 @default.
• W1844649514 cites W2087692861 @default.
• W1844649514 cites W2087904766 @default.
• W1844649514 cites W2090249381 @default.
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• W1844649514 cites W2106112381 @default.
• W1844649514 cites W2108527489 @default.
• W1844649514 cites W2116293776 @default.
• W1844649514 cites W2117171540 @default.
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• W1844649514 doi "https://doi.org/10.5194/cp-12-635-2016" @default.
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