The Evaluations of NEX-GDDP and Marksim Downscaled Data Sets Over Lali Region, Southwest Iran
- سال انتشار: 1399
- محل انتشار: مجله فیزیک زمین و فضا، دوره: 46، شماره: 4
- کد COI اختصاصی: JR_JESPHYS-46-4_017
- زبان مقاله: انگلیسی
- تعداد مشاهده: 192
نویسندگان
Ph.D. Student, Department of Mineral Geology and Hydrogeology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
Professor, Department of Mineral Geology and Hydrogeology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
Associate Professor, Department of Remote Sensing and GIS, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
Assistant Professor, Department of Mineral Geology and Hydrogeology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
چکیده
Downscaling of climatic variables is a difficult problem in the climate change impact studies. However, some climatic data sets exist that have been universally downscaled. These data sets introduce climatic data even in regions with scarce observations. In this study, NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) and Markov simulation (Marksim) downscaled data sets were evaluated over Lali region, southwest Iran by comparing the monthly RMSE, average and variance differences between the observation data and General Circulation Models' (GCMs') outputs during the time period ۲۰۱۰-۲۰۱۶. The NEX-GDDP data set contains ۲۱ GCMs under two Representative Concentration Pathways (RCPs), i.e. RCP۴.۵ and RCP۸.۵, from ۱۹۵۱ to ۲۰۹۹, and the Marksim data set includes ۱۷ GCMs under all RCPs from ۲۰۱۰ to ۲۰۹۵. Results acknowledged the ability of both data sets in projecting the climatic variables in the study area. Finally, NorESM۱-M and GFDL-CM۳ depicted the best operation for precipitation and temperature, respectively.کلیدواژه ها
NEX-GDDP, Marksim, GCM, Lali region, RCPاطلاعات بیشتر در مورد COI
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