4.6 Article

EURO-CORDEX regional climate model analysis for the Greater Alpine Region: Performance and expected future change

期刊

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
卷 121, 期 13, 页码 7710-7728

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2015JD024727

关键词

European Alps; climate change; EURO-CORDEX; precipitation; temperature

资金

  1. Bavarian Staatsministerium fur Umwelt und Verbraucherschutz (StMUV) [TKP01KPB-66747]

向作者/读者索取更多资源

Simulations from 13 highly resolved regional climate models run within the Coordinated Downscaling Experiment initiative at 0.11 degrees resolution with boundary forcings from five different Coupled Model Intercomparison Project Phase 5 global models are employed to derive future climate change signal for the Greater Alpine Region (GAR) and four smaller investigation areas. Evaluation statistics include mean temperature and precipitation, frequency of days with precipitation over 1mm and over 15mm, 90% quantile of the frequency distribution, and maximum number of consecutive dry days. The evaluation for the period from 1971 to 2000 indicates that the models reproduce spatial seasonal precipitation patterns. In general, the simulations underestimate the seasonal mean temperature and overestimate the mean precipitation values. In GAR the ensemble seasonal mean temperature bias ranges from -0.8 to -1.9 degrees C. The bias in precipitation varies between +14.8% in summer and +41.6% in the winter season. Larger errors are found for other statistics and in the investigated regions. In general, no significant gains in the quality of reproduction of the observed precipitation and temperature statistics compared to previous experiments can be identified. The temperature calculations for 2071-2100 related to the period from 1971 to 2000 in the GAR area show ensemble mean increases in the seasonal mean 2m temperature of 2.5 degrees C in fall and winter, 2.4 degrees C in summer, and 1.9 degrees C in spring. In the same area, precipitation is simulated to increase up to 12.3% in winter and 5.7% in spring. Only minor changes of the ensemble mean are predicted with +2.3% in fall and -1.7% in summer.

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