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Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   JANUARY-FEBRUARY 2017 , Volume 30 , Number 6 ; Page(s) 2087 To 2100.
 
Paper: 

VALIDATION OF EMPIRICAL AND SEMI-EMPIRICAL NET RADIATION MODELS VERSUS OBSERVED DATA FOR COLD SEMI-ARID CLIMATE CONDITION

 
 
Author(s):  SABZIPARVAR A.A.*, KHATAR B.
 
* FACULTY OF AGRICULTURE, BU-ALI SINA UNIVERSITY, HAMEDAN
 
Abstract: 

Introduction: Solar Net Radiation (Rn) is one of the most important component which influences soil heat flux, evapotranspiration rate and hydrological cycle. This parameter (Rn) is measured based on the difference between downward and upward shortwave (SW) and longwave (LW) irradiances reaching the Earth's surface. Field measurements of Rn are scarce, expensive and difficult due to the instrumental maintenance. As a result, in most research cases, Rn is estimated by the empirical, semi-empirical and physical radiation models. Almorox et al. (2008) suggested a net radiation model based on a linear regression model by using global solar radiation (Rs) and sunshine hours. Alados et al. (2003) evaluated the relation between Rn and Rs for Spain. They showed that the models based on shortwave radiation works perfect in estimating solar net radiation. In another work, Irmak et al. (2003) presented two empirical Rn models, which worked with the minimum numbers of weather parameters. They evaluated their models for humid, dry, inland and coastal regions of the United States. They concluded that both Rn models work better than FAO-56 Penman-Monteith model. Sabziparvar et al. (2016) estimated the daily Rn for four climate types in Iran. They examined various net radiation models namely: Wright, Basic Regression Model (BRM), Linacre, Berliand, Irmak, and Monteith. Their results highlighted that on regional averages, the linear BRM model has the superior performance in generating the most accurate daily ET0. They also showed that for 70% of the study sites, the linear Rn models can be reliable candidates instead of sophisticated nonlinear Rn models. Having considered the importance of Rn in determining crop water requirement, the aim of this study is to obtain the best performance Rn model for cold semi-arid climate of Hamedan.

 
Keyword(s): BASIC REGRESSION MODELS, DAILY NET RADIATION, HAMEDAN, PENMAN-MONTEITH MODEL, SEASONAL AND ANNUAL ESTIMATES
 
 
References: 
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APA: Copy

SABZIPARVAR, A., & KHATAR, B. (2017). VALIDATION OF EMPIRICAL AND SEMI-EMPIRICAL NET RADIATION MODELS VERSUS OBSERVED DATA FOR COLD SEMI-ARID CLIMATE CONDITION. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 30(6 ), 2087-2100. https://www.sid.ir/en/journal/ViewPaper.aspx?id=572366



Vancouver: Copy

SABZIPARVAR A.A., KHATAR B.. VALIDATION OF EMPIRICAL AND SEMI-EMPIRICAL NET RADIATION MODELS VERSUS OBSERVED DATA FOR COLD SEMI-ARID CLIMATE CONDITION. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY). 2017 [cited 2021July31];30(6 ):2087-2100. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572366



IEEE: Copy

SABZIPARVAR, A., KHATAR, B., 2017. VALIDATION OF EMPIRICAL AND SEMI-EMPIRICAL NET RADIATION MODELS VERSUS OBSERVED DATA FOR COLD SEMI-ARID CLIMATE CONDITION. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), [online] 30(6 ), pp.2087-2100. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572366.



 
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