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|Title:||Projection of occurrence of extreme dry-wet years and seasons in Europe with stationary and non-stationary Standardized Precipitation Indices|
|Authors:||RUSSO SIMONE; DOSIO Alessandro; STERL Andreas; BARBOSA FERREIRA Paulo; VOGT Juergen|
|Citation:||JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES vol. 118 p. 1-12|
|Publisher:||AMER GEOPHYSICAL UNION|
|Type:||Articles in periodicals and books|
|Abstract:||The probabilities of the occurrence of extreme dry/wet years and seasons in Europe are estimated by using two ways of the Standardized Precipitation Index (SPI, and SPI-GEV) and the Standardized non-stationary Precipitation Index (SnsPI). The latter is defined as the SPI by fitting precipitation data with a non-stationary gamma distribution, in order to model the precipitation time dependence under climate change. Bias corrected daily precipitation outputs from five different regional climate models provided by the ENSEMBLES project are used. The five RCMs are selected as to represent the main statistical properties of the whole ENSEMBLES set, and the most extreme deviation from the ensemble mean. All indicators are calculated for the ensemble of the five models over the period 1971-2098. Results show that, under global warming, climate in Europe will significantly change from its current state with the probability of the occurrence of extreme dry and wet years and seasons increasing respectivelly over southern dry and northen wet regions. Comparing non-stationary and stationary indices, the SnsPI is found to be more robust than the common SPI in the prediction of precipitation changes with multimodel ensembles.|
|JRC Directorate:||Sustainable Resources|
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