TY - JOUR
T1 - Evaluating the Accuracy of Satellite-Based Microwave Radiometer PWV Products Using Shipborne GNSS Observations Across the Pacific Ocean
AU - Gong, Yangzhao
AU - Liu, Zhizhao
AU - Foster, James H.
N1 - Funding Information:
This work was supported in part by the Key Program of the National Natural Science Foundation of China under Grant 41730109, in part by the Hong Kong Research Grants Council (RGC) under Grant Q73B, PolyU 15211919, and in part by the Emerging Frontier Area (EFA) Scheme of Research Institute for Sustainable Urban Development (RISUD) of the Hong Kong Polytechnic University under Grant 1-BBWJ.
Publisher Copyright:
© 1980-2012 IEEE.
PY - 2021/11/19
Y1 - 2021/11/19
N2 - Satellite-based conically scanning microwave radiometers are capable of making precipitable water vapor (PWV) observations over the vast ocean regions. In this study, PWV from five on-orbit satellite-based microwave radiometers (SMWRs), i.e., special sensor microwave imager/sounder (SSMIS) F16, SSMIS F17, SSMIS F18, Advanced Microwave Scanning Radiometer 2 (AMSR2), and global precipitation measurement (GPM) microwave imager (GMI), are evaluated by shipborne global navigation satellite system (GNSS) PWV during a 77-day cruise across the Pacific Ocean from June 01, 2017, to August 16, 2017. This cruise crossed about 90° in latitude (from 40° S to 50° N) and about 174° in longitude (from 72° W to 114° E). The shipborne GNSS PWV is first compared with PWV derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) products. The comparison results show that the root mean square error (RMSE) between shipborne GNSS PWV and ERA5 PWV is 2.1 kg/m2. The shipborne GNSS PWV is then used to evaluate the PWV derived from five SMWRs. The statistical results show that the PWV from all SMWR has a good agreement with shipborne GNSS PWV. The PWV RMSEs of SSMIS F16, SSMIS F17, SSMIS F18, AMSR2, and GMI evaluated by shipborne GNSS PWV are 2.0, 2.0, 1.8, 1.5, and 1.7 kg/m2, respectively. In addition, statistical results indicate that SSMIS F16, SSMIS F17, SSMIS F18, AMSR2, and GMI overestimate PWV with respect to GNSS by 1.1, 0.5, 0.5, 0.4, and 0.4 kg/m2, respectively.
AB - Satellite-based conically scanning microwave radiometers are capable of making precipitable water vapor (PWV) observations over the vast ocean regions. In this study, PWV from five on-orbit satellite-based microwave radiometers (SMWRs), i.e., special sensor microwave imager/sounder (SSMIS) F16, SSMIS F17, SSMIS F18, Advanced Microwave Scanning Radiometer 2 (AMSR2), and global precipitation measurement (GPM) microwave imager (GMI), are evaluated by shipborne global navigation satellite system (GNSS) PWV during a 77-day cruise across the Pacific Ocean from June 01, 2017, to August 16, 2017. This cruise crossed about 90° in latitude (from 40° S to 50° N) and about 174° in longitude (from 72° W to 114° E). The shipborne GNSS PWV is first compared with PWV derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) products. The comparison results show that the root mean square error (RMSE) between shipborne GNSS PWV and ERA5 PWV is 2.1 kg/m2. The shipborne GNSS PWV is then used to evaluate the PWV derived from five SMWRs. The statistical results show that the PWV from all SMWR has a good agreement with shipborne GNSS PWV. The PWV RMSEs of SSMIS F16, SSMIS F17, SSMIS F18, AMSR2, and GMI evaluated by shipborne GNSS PWV are 2.0, 2.0, 1.8, 1.5, and 1.7 kg/m2, respectively. In addition, statistical results indicate that SSMIS F16, SSMIS F17, SSMIS F18, AMSR2, and GMI overestimate PWV with respect to GNSS by 1.1, 0.5, 0.5, 0.4, and 0.4 kg/m2, respectively.
KW - Precipitable water vapor (PWV)
KW - satellite-based microwave radiometer (SMWR)
KW - shipborne global navigation satellite system (GNSS) PWV
UR - http://www.scopus.com/inward/record.url?scp=85120055094&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2021.3129001
DO - 10.1109/TGRS.2021.3129001
M3 - Journal article
AN - SCOPUS:85120055094
SN - 0196-2892
VL - 60
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
ER -