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:: Volume 23, Issue 81 (3-2023) ::
جغرافیایی 2023, 23(81): 1-18 Back to browse issues page
Application of the Poisson Point Process Model for Analyzing of Extreme Temperatures (Case Study: Abali Station)
Ebrahim Ahmadzadeh , Khalil Valizadeh Kamran * 1, Davoud Mokhtari1 , AliAkbar Rasouli1
1- University of Tabriz
Abstract:   (945 Views)
In this paper, the Poisson Point Process model has been used to analyze the frequency and intensity of hot and cold extreme temperatures at Abali station. The Poisson Point Process Model (Paritou- Poisson) is designed based on Peaks over threshold method. In this method, a suitable temperature threshold was first selected using statistical methods and then the Paritou-Poisson distribution was fitted to values higher than the threshold.  Estimation of distribution parameters was carried out using Maximum likelihood Method and extreme temperatures were estimated for different return periods. To validate the model, Q-Q charts and χ2 statistics were used. The results showed that the Poisson point process model has a great potential for modeling the extreme temperatures
Keywords: Extreme temperatures, Poisson point process, Paritou-Poisson distribution, Peaks over threshold model, Return period, Abali station.
Full-Text [PDF 1002 kb]   (319 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/05/6 | Accepted: 2019/08/28 | Published: 2023/06/16
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Ahmadzadeh E, Valizadeh Kamran K, Mokhtari D, Rasouli A. Application of the Poisson Point Process Model for Analyzing of Extreme Temperatures (Case Study: Abali Station). جغرافیایی 2023; 23 (81) :1-18
URL: http://geographical-space.iau-ahar.ac.ir/article-1-3453-en.html

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Volume 23, Issue 81 (3-2023) Back to browse issues page
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