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)
Joint Authors
Miglietta, M. M.
Mesbahzadeh, T.
Mirakbari, M.
Soleimani Sardoo, F.
Abdolhoseini, M.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mesbahzadeh, T.& Miglietta, M. M.& Mirakbari, M.& Soleimani Sardoo, F.& 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،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1118733
Modern Language Association (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 No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1118733
American Medical Association (AMA)
Mesbahzadeh, T.& Miglietta, M. M.& Mirakbari, M.& Soleimani Sardoo, F.& Abdolhoseini, M.. 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. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1118733
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118733