TY - JOUR
T1 - Infrared satellite-derived sea surface skin temperature sensitivity to aerosol vertical distribution ̶ Field data analysis and model simulations
AU - Luo, Bingkun
AU - Minnett, Peter J.
AU - Nalli, Nicholas R.
N1 - Funding Information:
This study was funded by Future Investigators in NASA Earth and Space Science and Technology (FINESST) Program grant 80NSSC19K1326 . AEROSE is a collaboration with the NOAA PIRATA Northeast Extension (PNE) project and is supported by the NOAA Center for Atmospheric Sciences and Meteorology (NCAS-M) at Howard University (Prof. Vernon Morris, PI), the NOAA Educational Partnership Program grant NA17AE1625 , NOAA grant NA17AE1623 , the Joint Polar Satellite System (JPSS) and NOAA/NESDIS/STAR. The at-sea support of Malgorzata Szczodrak, Miguel Izaguirre and others is acknowledged, especially for deploying the radiosondes. The Officers, crew, and colleagues on the NOAA Ship Ronald H Brown and R/V Alliance are thanked for hosting M-AERI instruments. The thoughtful comments and suggestions of anonymous reviewers are acknowledged as these have led to an improved paper. Data files of MODIS L2P SST skin and MERRA-2 fields were downloaded from the NASA PO.DAAC.
Funding Information:
This study was funded by Future Investigators in NASA Earth and Space Science and Technology (FINESST) Program grant 80NSSC19K1326. AEROSE is a collaboration with the NOAA PIRATA Northeast Extension (PNE) project and is supported by the NOAA Center for Atmospheric Sciences and Meteorology (NCAS-M) at Howard University (Prof. Vernon Morris, PI), the NOAA Educational Partnership Program grant NA17AE1625, NOAA grant NA17AE1623, the Joint Polar Satellite System (JPSS) and NOAA/NESDIS/STAR. The at-sea support of Malgorzata Szczodrak, Miguel Izaguirre and others is acknowledged, especially for deploying the radiosondes. The Officers, crew, and colleagues on the NOAA Ship Ronald H Brown and R/V Alliance are thanked for hosting M-AERI instruments. The thoughtful comments and suggestions of anonymous reviewers are acknowledged as these have led to an improved paper. Data files of MODIS L2P SSTskin and MERRA-2 fields were downloaded from the NASA PO.DAAC.
Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2021/1
Y1 - 2021/1
N2 - Sea surface temperature is an Essential Climate Variable. The radiative impact of mineral dust is one of the major contributors to inaccuracies in the satellite-retrieved sea surface skin temperature (SSTskin). Different aerosol dust vertical distributions have varying effects on the satellite-derived SSTskin. To further investigate the physical mechanisms of aerosol effects on Terra MODerate-resolution Imaging Spectroradiometers (MODIS) derived SSTskin, the aerosol radiative effects were studied with a field-data match-up analysis and radiative transfer simulations. The field data are measurements of the SSTskin derived from highly accurate ship-based infrared spectrometers vertical atmospheric temperature and water vapor radiosonde profiles. The aerosol dust concentrations in three-dimensions from the NASA Modern-Era Retrospective analysis for Research and Applications, Version 2 have been used as input to radiative transfer simulations. Based on the analysis of field data and simulations, we have empirically determined that the sensitivity of the Terra MODIS retrieved SSTskin accuracies is related to 1) dust concentration in the atmosphere, 2) the dust layer altitude, and 3) the dust layer temperature. As the aerosol altitude increases, the effect on the SSTskin retrievals becomes more negative in proportion to the temperature contrast with the sea surface. SSTskin differences, satellite-derived - surface measurements, for a given aerosol layer optical depth vary between −3 K and 1 K according to our match-up comparisons and radiative transfer simulations.
AB - Sea surface temperature is an Essential Climate Variable. The radiative impact of mineral dust is one of the major contributors to inaccuracies in the satellite-retrieved sea surface skin temperature (SSTskin). Different aerosol dust vertical distributions have varying effects on the satellite-derived SSTskin. To further investigate the physical mechanisms of aerosol effects on Terra MODerate-resolution Imaging Spectroradiometers (MODIS) derived SSTskin, the aerosol radiative effects were studied with a field-data match-up analysis and radiative transfer simulations. The field data are measurements of the SSTskin derived from highly accurate ship-based infrared spectrometers vertical atmospheric temperature and water vapor radiosonde profiles. The aerosol dust concentrations in three-dimensions from the NASA Modern-Era Retrospective analysis for Research and Applications, Version 2 have been used as input to radiative transfer simulations. Based on the analysis of field data and simulations, we have empirically determined that the sensitivity of the Terra MODIS retrieved SSTskin accuracies is related to 1) dust concentration in the atmosphere, 2) the dust layer altitude, and 3) the dust layer temperature. As the aerosol altitude increases, the effect on the SSTskin retrievals becomes more negative in proportion to the temperature contrast with the sea surface. SSTskin differences, satellite-derived - surface measurements, for a given aerosol layer optical depth vary between −3 K and 1 K according to our match-up comparisons and radiative transfer simulations.
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U2 - 10.1016/j.rse.2020.112151
DO - 10.1016/j.rse.2020.112151
M3 - Article
AN - SCOPUS:85094314515
VL - 252
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
SN - 0034-4257
M1 - 112151
ER -