干旱区生态环境知识资源中心(Arid): Spatio-temporal variation of precipitation projection based on bias-adjusted CORDEX-SA regional climate model simulations for arid and semi-arid region

Arid

DOI	10.3354/cr01722
	Spatio-temporal variation of precipitation projection based on bias-adjusted CORDEX-SA regional climate model simulations for arid and semi-arid region
	Ghaemi, Alireza; Hashemi Monfared, Seyed Arman; Bahrpeyma, Abdolhamid; Mahmoudi, Peyman; Zounemat-Kermani, Mohammad
通讯作者	Monfared, SAH
来源期刊	CLIMATE RESEARCH
ISSN	0936-577X
EISSN	1616-1572
出版年	2023
卷号	91 页码:121-144
英文摘要	Global warming significantly affects the hydrological cycle that influences hydrological systems worldwide. Knowledge of precipitation variation under a changing climate can provide effective ways to deal with its impacts on water resource management. Hence, in this study, spatiotemporal variability of precipitation under future climatic scenarios was studied using suitable regional climate models (RCMs) extracted from the South Asia Coordinated Regional Climate Downscaling Experiments (CORDEX-SA) based on the control period (1976-2005). Additionally, this research attempted to evaluate the changes in precipitation patterns in Iran by integrating output from a set of RCMs extracted from CORDEX-SA with selected bias-correction (BC) methods, namely quantile ranking-based bias correction (QRBC), linear scaling (LS), empirical quantile mapping (EQM), Gamma quantile mapping (GQM), and Gamma-Pareto quantile mapping (GPQM). Regarding the findings, the performance of RCMs varied based on the climates of regions. Moreover, QRBC played an essential role in improving the output of RCMs to simulate precipitation values. Under RCP4.5 and RCP8.5, the projection of seasonal precipitation indicated that a slight wetting pattern might occur across the northern area in all seasons, especially in the southern regions. Whereas the southern area exhibited a strong wetting tendency in autumn, and the maximum percentage changes (PC) of precipitation were projected to increase by 35% for the mid (2040-2070) and far future (2070-2100) periods, based on RCP4.5 and RCP8.5, respectively. This study will be helpful in understanding the uncertainties in CORDEX-SA RCM projections of climate changes in Iran. Using the outcomes of this study, strategies can be adopted to better manage water resources for various regions of Iran.
英文关键词	Climate change Regional climate models CORDEX South Asia Bias-correction methods Precipitation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001115983400001
WOS关键词	HYDROLOGIC IMPACT ; ENSEMBLE ; TEMPERATURE ; CATCHMENT ; RAINFALL ; INDEXES ; MAXIMUM ; SCALES ; RCMS
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395782
推荐引用方式 GB/T 7714	Ghaemi, Alireza,Hashemi Monfared, Seyed Arman,Bahrpeyma, Abdolhamid,et al. Spatio-temporal variation of precipitation projection based on bias-adjusted CORDEX-SA regional climate model simulations for arid and semi-arid region[J],2023,91:121-144.
APA	Ghaemi, Alireza,Hashemi Monfared, Seyed Arman,Bahrpeyma, Abdolhamid,Mahmoudi, Peyman,&Zounemat-Kermani, Mohammad.(2023).Spatio-temporal variation of precipitation projection based on bias-adjusted CORDEX-SA regional climate model simulations for arid and semi-arid region.CLIMATE RESEARCH,91,121-144.
MLA	Ghaemi, Alireza,et al."Spatio-temporal variation of precipitation projection based on bias-adjusted CORDEX-SA regional climate model simulations for arid and semi-arid region".CLIMATE RESEARCH 91(2023):121-144.