Validation of FY-3D MERSI-2 Precipitable Water Vapor (PWV) Datasets Using Ground-Based PWV Data from AERONET

• Published in: Remote Sensing
• Main Authors: Yanqing Xie, Zhengqiang Li, Weizhen Hou, Jie Guang, Yan Ma, Yuyang Wang, Siheng Wang, Dong Yang
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2021
• Subjects: precipitable water vapor (PWV); validation; MERSI-2; FY-3D; AERONET; Science; Q; Aerosol Robotic Network
• Online Access: https://doi.org/10.3390/rs13163246; https://doaj.org/article/edd58781cb6e4e1388ff80da92e900d9

The medium resolution spectral imager-2 (MERSI-2) is one of the most important sensors onboard China’s latest polar-orbiting meteorological satellite, Fengyun-3D (FY-3D). The National Satellite Meteorological Center of China Meteorological Administration has developed four precipitable water vapor (PWV) datasets using five near-infrared bands of MERSI-2, including the P905 dataset, P936 dataset, P940 dataset and the fusion dataset of the above three datasets. For the convenience of users, we comprehensively evaluate the quality of these PWV datasets with the ground-based PWV data derived from Aerosol Robotic Network. The validation results show that the P905, P936 and fused PWV datasets have relatively large systematic errors (−0.10, −0.11 and −0.07 g/cm 2 ), whereas the systematic error of the P940 dataset (−0.02 g/cm 2 ) is very small. According to the overall accuracy of these four PWV datasets by our assessments, they can be ranked in descending order as P940 dataset, fused dataset, P936 dataset and P905 dataset. The root mean square error (RMSE), relative error (RE) and percentage of retrieval results with error within <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>±</mo><mrow><mo>(</mo><mrow><mn>0.05</mn><mo>+</mo><mn>0.10</mn><mo>∗</mo><mi>P</mi><mi>W</mi><msub><mi>V</mi><mrow><mi>A</mi><mi>E</mi><mi>R</mi><mi>O</mi><mi>N</mi><mi>E</mi><mi>T</mi></mrow></msub></mrow><mo>)</mo></mrow></mrow></semantics></math> (PER10) of the P940 PWV dataset are 0.24 g/cm 2 , 0.10 and 76.36%, respectively. The RMSE, RE and PER10 of the P905 PWV dataset are 0.38 g/cm 2 , 0.15 and 57.72%, respectively. In order to obtain a clearer understanding of the accuracy of these four MERSI-2 PWV datasets, we ...