干旱区生态环境知识资源中心(Arid): Joint Modeling of Precipitation and Temperature Using Copula Theory for Current and Future Prediction under Climate Change Scenarios in Arid Lands (Case Study, Kerman Province, Iran)

Arid

DOI	10.1155/2019/6848049
	Joint Modeling of Precipitation and Temperature Using Copula Theory for Current and Future Prediction under Climate Change Scenarios in Arid Lands (Case Study, Kerman Province, Iran)
	Mesbahzadeh, T.; Miglietta, M. M.; Mirakbari, M.; Sardoo, F. Soleimani; Abdolhoseini, M.
通讯作者	Mesbahzadeh, T (corresponding author), Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mt Reg, Tehran, Iran.
来源期刊	ADVANCES IN METEOROLOGY
ISSN	1687-9309
EISSN	1687-9317
出版年	2019
卷号	2019
英文摘要	Precipitation and temperature are very important climatic parameters as their changes may affect life conditions. Therefore, predicting temporal trends of precipitation and temperature is very useful for societal and urban planning. In this research, in order to study the future trends in precipitation and temperature, we have applied scenarios of the fifth assessment report of IPCC. The results suggest that both parameters will be increasing in the studied area (Iran) in future. Since there is interdependence between these two climatic parameters, the independent analysis of the two fields will generate errors in the interpretation of model simulations. Therefore, in this study, copula theory was used for joint modeling of precipitation and temperature under climate change scenarios. By the joint distribution, we can find the structure of interdependence of precipitation and temperature in current and future under climate change conditions, which can assist in the risk assessment of extreme hydrological and meteorological events. Based on the results of goodness of fit test, the Frank copula function was selected for modeling of recorded and constructed data under RCP2.6 scenario and the Gaussian copula function was used for joint modeling of the constructed data under the RCP4.5 and RCP8.5 scenarios.
类型	Article
语种	英语
开放获取类型	Green Submitted, Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000491871400001
WOS关键词	RIVER-BASIN ; RAINFALL ; IMPACT ; CMIP5 ; YIELD
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369862
作者单位	[Mesbahzadeh, T.] Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mt Reg, Tehran, Iran; [Miglietta, M. M.] Italian Natl Res Council ISAC CNR, Inst Atmospher Sci & Climate, Corso Stati Uniti 4, Padua, Italy; [Mirakbari, M.; Sardoo, F. Soleimani; Abdolhoseini, M.] Univ Tehran, Fac Nat Resources, Tehran, Iran; [Sardoo, F. Soleimani] Univ Jiroft, Dept Nat Engn, Kerman, Iran
推荐引用方式 GB/T 7714	Mesbahzadeh, T.,Miglietta, M. M.,Mirakbari, M.,et al. Joint Modeling of Precipitation and Temperature Using Copula Theory for Current and Future Prediction under Climate Change Scenarios in Arid Lands (Case Study, Kerman Province, Iran)[J],2019,2019.
APA	Mesbahzadeh, T.,Miglietta, M. M.,Mirakbari, M.,Sardoo, F. Soleimani,&Abdolhoseini, M..(2019).Joint Modeling of Precipitation and Temperature Using Copula Theory for Current and Future Prediction under Climate Change Scenarios in Arid Lands (Case Study, Kerman Province, Iran).ADVANCES IN METEOROLOGY,2019.
MLA	Mesbahzadeh, T.,et al."Joint Modeling of Precipitation and Temperature Using Copula Theory for Current and Future Prediction under Climate Change Scenarios in Arid Lands (Case Study, Kerman Province, Iran)".ADVANCES IN METEOROLOGY 2019(2019).