Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/620537
Title: Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline
Authors: Xiaotong Zhang;Shunlin Liang;Zhen Song;Hailin Niu;Guoxin Wang;Wenjun Tang;Zhuoqi Chen;Bo Jiang
subject: Global irradiance|remote sensing|incident shortwave radiation|thin-plate smoothing spline
Year: 2016
Publisher: IEEE
Abstract: Incident solar radiation (R<sub>s</sub>) over the Earth's surface plays an important role in determining the Earth's climate and environment. Generally, R<sub>s</sub> can be obtained from direct measurements, remotely sensed data, or reanalysis and general circulation model (GCM) data. Each type of product has advantages and limitations: the surface direct measurements provide accurate but sparse spatial coverage, whereas other global products may have large uncertainties. Ground measurements have been normally used for validation and occasionally calibration, but transforming their &#x201C;true values&#x201D; spatially to improve the satellite products is still a new and challenging topic. In this paper, an improved thin-plate smoothing spline approach is presented to locally &#x201C;calibrate&#x201D; the Global LAnd Surface Satellite (GLASS) R<sub>s</sub> product using the reconstructed R<sub>s</sub> data from surface meteorological measurements. The influence of surface elevation on R<sub>s</sub> estimation was also considered in the proposed method. The point-based surface reconstructed R<sub>s</sub> was used as the response variable, and the GLASS R<sub>s</sub> product and the surface elevation data at the corresponding locations as explanatory variables to train the thin-plate spline model. We evaluated the performance of the approach using the cross-validation method at both daily and monthly time scales over China. We also validated the estimated R<sub>s</sub> based on the thin-plate spline method using independent ground measurements and independent satellite estimates of R<sub>s</sub>. These validation results indicated that the thin-plate smoothing spline method can be effectively used for calibrating satellite-derived R<sub>s</sub> products using ground measurements to achieve better accuracy.
URI: http://localhost/handle/Hannan/149276
http://localhost/handle/Hannan/620537
ISSN: 0196-2892
1558-0644
volume: 54
issue: 2
Appears in Collections:2016

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Title: Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline
Authors: Xiaotong Zhang;Shunlin Liang;Zhen Song;Hailin Niu;Guoxin Wang;Wenjun Tang;Zhuoqi Chen;Bo Jiang
subject: Global irradiance|remote sensing|incident shortwave radiation|thin-plate smoothing spline
Year: 2016
Publisher: IEEE
Abstract: Incident solar radiation (R<sub>s</sub>) over the Earth's surface plays an important role in determining the Earth's climate and environment. Generally, R<sub>s</sub> can be obtained from direct measurements, remotely sensed data, or reanalysis and general circulation model (GCM) data. Each type of product has advantages and limitations: the surface direct measurements provide accurate but sparse spatial coverage, whereas other global products may have large uncertainties. Ground measurements have been normally used for validation and occasionally calibration, but transforming their &#x201C;true values&#x201D; spatially to improve the satellite products is still a new and challenging topic. In this paper, an improved thin-plate smoothing spline approach is presented to locally &#x201C;calibrate&#x201D; the Global LAnd Surface Satellite (GLASS) R<sub>s</sub> product using the reconstructed R<sub>s</sub> data from surface meteorological measurements. The influence of surface elevation on R<sub>s</sub> estimation was also considered in the proposed method. The point-based surface reconstructed R<sub>s</sub> was used as the response variable, and the GLASS R<sub>s</sub> product and the surface elevation data at the corresponding locations as explanatory variables to train the thin-plate spline model. We evaluated the performance of the approach using the cross-validation method at both daily and monthly time scales over China. We also validated the estimated R<sub>s</sub> based on the thin-plate spline method using independent ground measurements and independent satellite estimates of R<sub>s</sub>. These validation results indicated that the thin-plate smoothing spline method can be effectively used for calibrating satellite-derived R<sub>s</sub> products using ground measurements to achieve better accuracy.
URI: http://localhost/handle/Hannan/149276
http://localhost/handle/Hannan/620537
ISSN: 0196-2892
1558-0644
volume: 54
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7274342.pdf12.29 MBAdobe PDFThumbnail
Preview File
Title: Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline
Authors: Xiaotong Zhang;Shunlin Liang;Zhen Song;Hailin Niu;Guoxin Wang;Wenjun Tang;Zhuoqi Chen;Bo Jiang
subject: Global irradiance|remote sensing|incident shortwave radiation|thin-plate smoothing spline
Year: 2016
Publisher: IEEE
Abstract: Incident solar radiation (R<sub>s</sub>) over the Earth's surface plays an important role in determining the Earth's climate and environment. Generally, R<sub>s</sub> can be obtained from direct measurements, remotely sensed data, or reanalysis and general circulation model (GCM) data. Each type of product has advantages and limitations: the surface direct measurements provide accurate but sparse spatial coverage, whereas other global products may have large uncertainties. Ground measurements have been normally used for validation and occasionally calibration, but transforming their &#x201C;true values&#x201D; spatially to improve the satellite products is still a new and challenging topic. In this paper, an improved thin-plate smoothing spline approach is presented to locally &#x201C;calibrate&#x201D; the Global LAnd Surface Satellite (GLASS) R<sub>s</sub> product using the reconstructed R<sub>s</sub> data from surface meteorological measurements. The influence of surface elevation on R<sub>s</sub> estimation was also considered in the proposed method. The point-based surface reconstructed R<sub>s</sub> was used as the response variable, and the GLASS R<sub>s</sub> product and the surface elevation data at the corresponding locations as explanatory variables to train the thin-plate spline model. We evaluated the performance of the approach using the cross-validation method at both daily and monthly time scales over China. We also validated the estimated R<sub>s</sub> based on the thin-plate spline method using independent ground measurements and independent satellite estimates of R<sub>s</sub>. These validation results indicated that the thin-plate smoothing spline method can be effectively used for calibrating satellite-derived R<sub>s</sub> products using ground measurements to achieve better accuracy.
URI: http://localhost/handle/Hannan/149276
http://localhost/handle/Hannan/620537
ISSN: 0196-2892
1558-0644
volume: 54
issue: 2
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7274342.pdf12.29 MBAdobe PDFThumbnail
Preview File