The Visible and Infrared Spin-Scan Radiometer(VISSR) onboard the Fengyun-2(FY-2) satellite can provide valuable thermal infrared observations to help create a precipitable water vapor(PWV) product with high spatial an...The Visible and Infrared Spin-Scan Radiometer(VISSR) onboard the Fengyun-2(FY-2) satellite can provide valuable thermal infrared observations to help create a precipitable water vapor(PWV) product with high spatial and temporal resolutions. The current FY-2/VISSR PWV product in operation is produced by using a traditional two-band physical split-window(PSW) method, which produces low quality results under dry atmospheric conditions. Based on the sensitivity characteristics of FY-2 F/VISSR water vapor channel and two split-window channels to atmospheric water vapor, this study developed a new, robust operational PWV retrieval algorithm for FY-2 F to improve the operational precision of the current PWV product. The algorithm uses a modified three-band PSW method, which adds a scale for the water vapor channel in the improved three-band PSW method. Integrated PWV products from the radiosonde data in 2016 are used here to validate the precision of the PWV retrieved by the modified three-band and traditional two-band PSW methods. The mean bias, root mean square error(RMSE), and correlation coefficient of the PWV retrieved by the modified three-band PSW method are 0.28 mm, 4.53 mm, and 0.969, respectively. The accuracy is much better than the PWV retrieved by the two-band method, whose mean bias, RMSE, and correlation coefficient are 12.67 mm, 29.35 mm, and 0.23. Especially, in mid-or high-latitude regions, the RMSE of the PWV is improved from 10 to 2 mm by changing the inversion in the two-band method to the modified three-band PSW method. Furthermore, the modified three-band PSW results show a better consistency with the radiosonde PWV at any zonal belt and season than the two-band PSW results. This new algorithm could significantly improve the quality of the current FY-2 F/VISSR PWV product, especially at sites where the actual PWV are lower than 15 mm.展开更多
To further verify the modified Becker＇s split-window approach for retrieving land surface temperature （LST） from long-term Advanced Very High Resolution Radiometer （AVHRR） data, a cross-validation and a radiance-...To further verify the modified Becker＇s split-window approach for retrieving land surface temperature （LST） from long-term Advanced Very High Resolution Radiometer （AVHRR） data, a cross-validation and a radiance-based （R-based） validation are performed and examined in this paper. In the cross-validation, 3481 LST data pairs are extracted from the AVttRR LST product retrieved with the modified Becker＇s approach and compared with the Moderate Resolution Imaging Spectroradiometer （MODIS） LST product （MYDllA1） for the period 2002-2008, relative to the positions of 548 weather stations in China. The results show that in most cases, the AVHRR LST values are higher than the MYDllA1. When the AVHRR LSTs are adjusted with a linear regression, the values are close to the MYDllA1, showing a good linear relationship between the two datasets （R2 = 0.91）. In the R-based validation, comparison is made between AVHRR LST retrieved from the modified Becker＇s approach and the inversed LST from the Moderate Resolution Transmittance Model （MODTRAN） consolidated with observed temperature and humidity profiles at four radiosonde stations. The results show that the retrieved AVHRR LST deviates from the MODTRAN inversed LST by -1.3 （-2.5） K when the total water vapor amount is less （larger） than 20 mm. This provides useful hints for further improvement of the LST retrieval algorithms＇ accuracy and consistency.展开更多
In order to provide a long time-series,high spatial resolution,and high accuracy dataset of land surface temperature（LST） for climatic change research,a modified Becker and Li＇s split-window approach is proposed in...In order to provide a long time-series,high spatial resolution,and high accuracy dataset of land surface temperature（LST） for climatic change research,a modified Becker and Li＇s split-window approach is proposed in this paper to retrieve LST from the measurements of Advanced Very High Resolution Radiometer（AVHRR） onboard National Oceanic and Atmospheric Administration（NOAA）-7 to-18 and the Visible and InfraRed Radiometer（VIRR） onboard FY-3A.For this purpose,the Moderate Resolution Transmittance Model（MODTRAN） 4.1 was first employed to compute the spectral radiance at the top of atmosphere（TOA） under a variety of surface and atmosphere conditions.Then,a temperature dataset consists of boundary temperature T s（which is one of the input parameters to MODTRAN）,and channels 4 and 5 brightness temperatures（T 4 and T 5） were constructed.Note that channels 4 and 5 brightness temperatures were simulated from the MODTRAN output spectral radiance by convolving them with the spectral response functions（SRFs） of channels 4 and 5 of AVHRRs and VIRR.The coefficients of modified Becker and Li＇s split-window approach for various AVHRRs and VIRR were subsequently regressed based on this temperature dataset using the least square method.As an example of validation,one AVHRR satellite image over Beijing acquired at 0312 UTC 27 April 2008 by AVHRR onboard NOAA-17 was selected to retrieve the LST image using the modified Becker and Li＇s approach.The comparison between this LST image and that from the MODIS level-2 LST product provided by the University of Tokyo in Japan indicates that the correlation coefficient is 0.88,the bias is 0.6 K,and the root mean square deviation（RMSD） is 2.1 K.Furthermore,about 70% and 37% pixels in the LST difference image,which is the result of retrieved LST image from AVHRR minus the corresponding MODIS LST image,have the values within ± 2 and ± 1 K,respectively.展开更多
基金Supported by the National Key Research and Development Program of China(2016YFA0600101 and 2018YFA0605502)China Meteorological Administration Special Public Welfare Research Fund(GYHY201406001)National Natural Science Foundation of China(41571348)
文摘The Visible and Infrared Spin-Scan Radiometer(VISSR) onboard the Fengyun-2(FY-2) satellite can provide valuable thermal infrared observations to help create a precipitable water vapor(PWV) product with high spatial and temporal resolutions. The current FY-2/VISSR PWV product in operation is produced by using a traditional two-band physical split-window(PSW) method, which produces low quality results under dry atmospheric conditions. Based on the sensitivity characteristics of FY-2 F/VISSR water vapor channel and two split-window channels to atmospheric water vapor, this study developed a new, robust operational PWV retrieval algorithm for FY-2 F to improve the operational precision of the current PWV product. The algorithm uses a modified three-band PSW method, which adds a scale for the water vapor channel in the improved three-band PSW method. Integrated PWV products from the radiosonde data in 2016 are used here to validate the precision of the PWV retrieved by the modified three-band and traditional two-band PSW methods. The mean bias, root mean square error(RMSE), and correlation coefficient of the PWV retrieved by the modified three-band PSW method are 0.28 mm, 4.53 mm, and 0.969, respectively. The accuracy is much better than the PWV retrieved by the two-band method, whose mean bias, RMSE, and correlation coefficient are 12.67 mm, 29.35 mm, and 0.23. Especially, in mid-or high-latitude regions, the RMSE of the PWV is improved from 10 to 2 mm by changing the inversion in the two-band method to the modified three-band PSW method. Furthermore, the modified three-band PSW results show a better consistency with the radiosonde PWV at any zonal belt and season than the two-band PSW results. This new algorithm could significantly improve the quality of the current FY-2 F/VISSR PWV product, especially at sites where the actual PWV are lower than 15 mm.
基金Supported by the Meteorological Key Technology Integration and Application Program of the China Meteorological Administration(CMAGJ2013Z20 and CMAGJ2015Z19)
文摘To further verify the modified Becker＇s split-window approach for retrieving land surface temperature （LST） from long-term Advanced Very High Resolution Radiometer （AVHRR） data, a cross-validation and a radiance-based （R-based） validation are performed and examined in this paper. In the cross-validation, 3481 LST data pairs are extracted from the AVttRR LST product retrieved with the modified Becker＇s approach and compared with the Moderate Resolution Imaging Spectroradiometer （MODIS） LST product （MYDllA1） for the period 2002-2008, relative to the positions of 548 weather stations in China. The results show that in most cases, the AVHRR LST values are higher than the MYDllA1. When the AVHRR LSTs are adjusted with a linear regression, the values are close to the MYDllA1, showing a good linear relationship between the two datasets （R2 = 0.91）. In the R-based validation, comparison is made between AVHRR LST retrieved from the modified Becker＇s approach and the inversed LST from the Moderate Resolution Transmittance Model （MODTRAN） consolidated with observed temperature and humidity profiles at four radiosonde stations. The results show that the retrieved AVHRR LST deviates from the MODTRAN inversed LST by -1.3 （-2.5） K when the total water vapor amount is less （larger） than 20 mm. This provides useful hints for further improvement of the LST retrieval algorithms＇ accuracy and consistency.
基金Supported by the National Science and Technology Special Funds for Infrastructure Work Projects of China (2006DAK31700)the GF Verification Program of the National Satellite Meteorological Center of China (220043001011003-1)
文摘In order to provide a long time-series,high spatial resolution,and high accuracy dataset of land surface temperature（LST） for climatic change research,a modified Becker and Li＇s split-window approach is proposed in this paper to retrieve LST from the measurements of Advanced Very High Resolution Radiometer（AVHRR） onboard National Oceanic and Atmospheric Administration（NOAA）-7 to-18 and the Visible and InfraRed Radiometer（VIRR） onboard FY-3A.For this purpose,the Moderate Resolution Transmittance Model（MODTRAN） 4.1 was first employed to compute the spectral radiance at the top of atmosphere（TOA） under a variety of surface and atmosphere conditions.Then,a temperature dataset consists of boundary temperature T s（which is one of the input parameters to MODTRAN）,and channels 4 and 5 brightness temperatures（T 4 and T 5） were constructed.Note that channels 4 and 5 brightness temperatures were simulated from the MODTRAN output spectral radiance by convolving them with the spectral response functions（SRFs） of channels 4 and 5 of AVHRRs and VIRR.The coefficients of modified Becker and Li＇s split-window approach for various AVHRRs and VIRR were subsequently regressed based on this temperature dataset using the least square method.As an example of validation,one AVHRR satellite image over Beijing acquired at 0312 UTC 27 April 2008 by AVHRR onboard NOAA-17 was selected to retrieve the LST image using the modified Becker and Li＇s approach.The comparison between this LST image and that from the MODIS level-2 LST product provided by the University of Tokyo in Japan indicates that the correlation coefficient is 0.88,the bias is 0.6 K,and the root mean square deviation（RMSD） is 2.1 K.Furthermore,about 70% and 37% pixels in the LST difference image,which is the result of retrieved LST image from AVHRR minus the corresponding MODIS LST image,have the values within ± 2 and ± 1 K,respectively.
