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فیزیک زمین و فضا، جلد ۴۶، شماره ۴، صفحات ۲۱۳-۲۳۰
عنوان فارسی The Evaluations of NEX-GDDP and Marksim Downscaled Data Sets Over Lali Region, Southwest Iran
چکیده فارسی مقاله 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 2010-2016. The NEX-GDDP data set contains 21 GCMs under two Representative Concentration Pathways (RCPs), i.e. RCP4.5 and RCP8.5, from 1951 to 2099, and the Marksim data set includes 17 GCMs under all RCPs from 2010 to 2095. Results acknowledged the ability of both data sets in projecting the climatic variables in the study area. Finally, NorESM1-M and GFDL-CM3 depicted the best operation for precipitation and temperature, respectively.
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عنوان انگلیسی The Evaluations of NEX-GDDP and Marksim Downscaled Data Sets Over Lali Region, Southwest Iran
چکیده انگلیسی مقاله 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 2010-2016. The NEX-GDDP data set contains 21 GCMs under two Representative Concentration Pathways (RCPs), i.e. RCP4.5 and RCP8.5, from 1951 to 2099, and the Marksim data set includes 17 GCMs under all RCPs from 2010 to 2095. Results acknowledged the ability of both data sets in projecting the climatic variables in the study area. Finally, NorESM1-M and GFDL-CM3 depicted the best operation for precipitation and temperature, respectively.
کلیدواژه‌های انگلیسی مقاله NEX-GDDP,Marksim,GCM,Lali region,RCP
نویسندگان مقاله Nejat Zeydalinejad |
Ph.D. Student, Department of Mineral Geology and Hydrogeology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran

Hamid Reza Nassery |
Professor, Department of Mineral Geology and Hydrogeology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran

Ali Reza Shakiba |
Associate Professor, Department of Remote Sensing and GIS, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran

Farshad Alijani |
Assistant Professor, Department of Mineral Geology and Hydrogeology, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran

نشانی اینترنتی https://jesphys.ut.ac.ir/article_76438_0ee445276a6a0f6135febedaa7a4fb69.pdf
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