气候变化领域集成服务门户(CCPortal): Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent

CCPortal

DOI	10.1038/s41598-024-52275-1
	Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent
	Rahman, Abdul; Pekkat, Sreeja
发表日期	2024
ISSN	2045-2322
起始页码	14
结束页码	1
卷号	14 期号:1
英文摘要	Selecting the best region-specific climate models is a precursor information for quantifying the climate change impact studies on hydraulic/hydrological projects and extreme heat events. A crucial step in lowering GCMs simulation-related uncertainty is identifying skilled GCMs based on their ranking. This research performed a critical assessment of 30 general circulation models (GCMs) from CMIP6 (IPCC's sixth assessment report) for maximum and minimum temperature over Indian subcontinent. The daily temperature data from 1965 to 2014 were considered to quantify maximum and minimum temperatures using a gridded spatial resolution of 1 degrees. The Nash-Sutcliffe efficiency (NSE), correlation coefficient (CC), Perkins skill score (PSS), normalized root mean square error (NRMSE), and absolute normalized mean bias error (ANMBE) were employed as performance indicators for two different scenarios, S1 and S2. The entropy approach was used to allocate weights to each performance indicator for relative ranking. Individual ranking at each grid was achieved using a multicriteria decision-making technique, VIKOR. The combined ranking was accomplished by integrating group decision-making, average ranking perspective, and cumulative percentage coverage of India. The outcome reveals that for S1 and S2, NRMSE and NSE are the most significant indicators, respectively whereas CC is the least significant indicator in both cases. This study identifies ensemble of KIOST-ESM, MRI-ESM2-0, MIROC6, NESM3, and CanESM5 for maximum temperature and E3SM-1-0, NESM3, CanESM5, GFDL-CM4, INM-CM5-0, and CMCC-ESM2 for minimum temperature.
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001158746700044
来源期刊	SCIENTIFIC REPORTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/297846
作者单位	Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Guwahati
推荐引用方式 GB/T 7714	Rahman, Abdul,Pekkat, Sreeja. Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent[J],2024,14(1).
APA	Rahman, Abdul,&Pekkat, Sreeja.(2024).Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent.SCIENTIFIC REPORTS,14(1).
MLA	Rahman, Abdul,et al."Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent".SCIENTIFIC REPORTS 14.1(2024).