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)
المؤلفون المشاركون
Miglietta, M. M.
Mesbahzadeh, T.
Mirakbari, M.
Soleimani Sardoo, F.
Abdolhoseini, M.
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-19
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118733
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر