Since air temperature records are readily available around the world, the models based on air temperature for estimating solar radiation have been widely accepted. In this paper, a new model based on Hargreaves and Samani (HS) method for estimating monthly average daily global solar radiation is proposed. With statistical error tests, the performance of the new model is validated by comparing with the HS model and its two modifications (Samani model and Chen model) against the measured data at 65 meteorological stations in China. Results show that the new model is more accurate and robust than the HS, Samani, and Chen models in all climatic regions, especially in the humid regions. Hence, the new model can be recommended for estimating sola...
This paper investigated the potential of MOD08-M3 atmospheric product in estimation of monthly-mean ...
Accurate estimation of the spatiotemporal variations of solar radiation is crucial for assessing and...
International audienceA recently developed temperature-based model for predicting monthly average ho...
Since air temperature records are readily available around the world, the models based on air temper...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In this study, a new empirical model is proposed for estimating daily global solar radiation on a ho...
ABSTRACT: Solar radiation is the principal and fundamental energy for many physical, chemical and bi...
Solar radiation is the principal and fundamental energy for many physical, chemical and biological p...
Two models based on Li et al. (2011) are developed for general application in estimating the monthly...
The solar radiation data are of high importance to the solar energy systems. Conventional methods to...
Eight models using only the sunshine duration for estimating the global solar radiation on a horizon...
In order to improve knowledge on solar resources, this paper analyses the models correlating daily g...
Solar radiation is the principal and fundamental energy for many physical, chemical and biological p...
Solar radiation measurements are not easily available, especially for the diffuse solar radiation. I...
Empirical modeling is an essential and economical tool for estimating solar radiation. Based on stat...
This paper investigated the potential of MOD08-M3 atmospheric product in estimation of monthly-mean ...
Accurate estimation of the spatiotemporal variations of solar radiation is crucial for assessing and...
International audienceA recently developed temperature-based model for predicting monthly average ho...
Since air temperature records are readily available around the world, the models based on air temper...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In this study, a new empirical model is proposed for estimating daily global solar radiation on a ho...
ABSTRACT: Solar radiation is the principal and fundamental energy for many physical, chemical and bi...
Solar radiation is the principal and fundamental energy for many physical, chemical and biological p...
Two models based on Li et al. (2011) are developed for general application in estimating the monthly...
The solar radiation data are of high importance to the solar energy systems. Conventional methods to...
Eight models using only the sunshine duration for estimating the global solar radiation on a horizon...
In order to improve knowledge on solar resources, this paper analyses the models correlating daily g...
Solar radiation is the principal and fundamental energy for many physical, chemical and biological p...
Solar radiation measurements are not easily available, especially for the diffuse solar radiation. I...
Empirical modeling is an essential and economical tool for estimating solar radiation. Based on stat...
This paper investigated the potential of MOD08-M3 atmospheric product in estimation of monthly-mean ...
Accurate estimation of the spatiotemporal variations of solar radiation is crucial for assessing and...
International audienceA recently developed temperature-based model for predicting monthly average ho...