An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data
The atmosphere has substantial effects on optical remote sensing imagery of the Earth’s surface from space. These effects come through the functioning of atmospheric particles on the radiometric transfer from the Earth’s surface through the atmosphere to the sensor in space. Precipitable water vapor...
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ftosti:oai:osti.gov:1706617 2023-07-30T03:55:33+02:00 An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data Abbasi, Bilawal Qin, Zhihao Du, Wenhui Fan, Jinlong Zhao, Chunliang Hang, Qiuyan Zhao, Shuhe Li, Shifeng 2020-11-18 application/pdf http://www.osti.gov/servlets/purl/1706617 https://www.osti.gov/biblio/1706617 https://doi.org/10.3390/rs12213469 unknown http://www.osti.gov/servlets/purl/1706617 https://www.osti.gov/biblio/1706617 https://doi.org/10.3390/rs12213469 doi:10.3390/rs12213469 54 ENVIRONMENTAL SCIENCES 2020 ftosti https://doi.org/10.3390/rs12213469 2023-07-11T09:52:59Z The atmosphere has substantial effects on optical remote sensing imagery of the Earth’s surface from space. These effects come through the functioning of atmospheric particles on the radiometric transfer from the Earth’s surface through the atmosphere to the sensor in space. Precipitable water vapor (PWV), CO 2 , ozone, and aerosol in the atmosphere are very important among the particles through their functioning. This study presented an algorithm to retrieve total PWV from the Chinese second-generation polar-orbiting meteorological satellite FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) data, which have three near-infrared (NIR) water vapor absorbing channels, i.e., channel 16, 17, and 18. The algorithm was improved from the radiance ratio technique initially developed for Moderate-Resolution Imaging Spectroradiometer (MODIS) data. MODTRAN 5 was used to simulate the process of radiant transfer from the ground surfaces to the sensor at various atmospheric conditions for estimation of the coefficients of ratio technique, which was achieved through statistical regression analysis between the simulated radiance and transmittance values for FY-3D MERSI-2 NIR channels. The algorithm was then constructed as a linear combination of the three-water vapor absorbing channels of FY-3D MERSI-2. Measurements from two ground-based reference datasets were used to validate the algorithm: the sun photometer measurements of Aerosol Robotic Network (AERONET) and the microwave radiometer measurements of Energy’s Atmospheric Radiation Measurement Program (ARMP). The validation results showed that the algorithm performs very well when compared with the ground-based reference datasets. The estimated PWV values come with root mean square error (RMSE) of 0.28 g/cm 2 for the ARMP and 0.26 g/cm 2 for the AERONET datasets, with bias of 0.072 g/cm 2 and 0.096 g/cm 2 for the two reference datasets, respectively. The accuracy of the proposed algorithm revealed a better consistency with ground-based reference datasets. Thus, ... Other/Unknown Material Aerosol Robotic Network SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Remote Sensing 12 21 3469 |
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Open Polar |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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ftosti |
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unknown |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Abbasi, Bilawal Qin, Zhihao Du, Wenhui Fan, Jinlong Zhao, Chunliang Hang, Qiuyan Zhao, Shuhe Li, Shifeng An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
The atmosphere has substantial effects on optical remote sensing imagery of the Earth’s surface from space. These effects come through the functioning of atmospheric particles on the radiometric transfer from the Earth’s surface through the atmosphere to the sensor in space. Precipitable water vapor (PWV), CO 2 , ozone, and aerosol in the atmosphere are very important among the particles through their functioning. This study presented an algorithm to retrieve total PWV from the Chinese second-generation polar-orbiting meteorological satellite FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) data, which have three near-infrared (NIR) water vapor absorbing channels, i.e., channel 16, 17, and 18. The algorithm was improved from the radiance ratio technique initially developed for Moderate-Resolution Imaging Spectroradiometer (MODIS) data. MODTRAN 5 was used to simulate the process of radiant transfer from the ground surfaces to the sensor at various atmospheric conditions for estimation of the coefficients of ratio technique, which was achieved through statistical regression analysis between the simulated radiance and transmittance values for FY-3D MERSI-2 NIR channels. The algorithm was then constructed as a linear combination of the three-water vapor absorbing channels of FY-3D MERSI-2. Measurements from two ground-based reference datasets were used to validate the algorithm: the sun photometer measurements of Aerosol Robotic Network (AERONET) and the microwave radiometer measurements of Energy’s Atmospheric Radiation Measurement Program (ARMP). The validation results showed that the algorithm performs very well when compared with the ground-based reference datasets. The estimated PWV values come with root mean square error (RMSE) of 0.28 g/cm 2 for the ARMP and 0.26 g/cm 2 for the AERONET datasets, with bias of 0.072 g/cm 2 and 0.096 g/cm 2 for the two reference datasets, respectively. The accuracy of the proposed algorithm revealed a better consistency with ground-based reference datasets. Thus, ... |
author |
Abbasi, Bilawal Qin, Zhihao Du, Wenhui Fan, Jinlong Zhao, Chunliang Hang, Qiuyan Zhao, Shuhe Li, Shifeng |
author_facet |
Abbasi, Bilawal Qin, Zhihao Du, Wenhui Fan, Jinlong Zhao, Chunliang Hang, Qiuyan Zhao, Shuhe Li, Shifeng |
author_sort |
Abbasi, Bilawal |
title |
An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data |
title_short |
An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data |
title_full |
An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data |
title_fullStr |
An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data |
title_full_unstemmed |
An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data |
title_sort |
algorithm to retrieve total precipitable water vapor in the atmosphere from fengyun 3d medium resolution spectral imager 2 (fy-3d mersi-2) data |
publishDate |
2020 |
url |
http://www.osti.gov/servlets/purl/1706617 https://www.osti.gov/biblio/1706617 https://doi.org/10.3390/rs12213469 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
http://www.osti.gov/servlets/purl/1706617 https://www.osti.gov/biblio/1706617 https://doi.org/10.3390/rs12213469 doi:10.3390/rs12213469 |
op_doi |
https://doi.org/10.3390/rs12213469 |
container_title |
Remote Sensing |
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12 |
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21 |
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3469 |
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1772817231889039360 |