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Evaluating Precipitable Water Vapor Products from Fengyun-4A Meteorological Satellite using Radiosonde, GNSS, and ERA5 Data

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Precipitable water vapor (PWV) products from the second generation of China’s geostationary meteorological satellite Fengyun-4A (FY-4A) have the advantage of high spatiotemporal resolution and can play an increasingly important role… Click to show full abstract

Precipitable water vapor (PWV) products from the second generation of China’s geostationary meteorological satellite Fengyun-4A (FY-4A) have the advantage of high spatiotemporal resolution and can play an increasingly important role in the study of atmosphere and climate. Using radiosonde, GNSS, and European Centre for Medium-Range Weather Forecasts (ECMWF) ReAnalysis 5 (ERA5) reanalysis data, this study presented a comprehensive evaluation on PWV products from FY-4A for a one-year period from January 2019 to January 2020. Results indicated that FY-4A PWV data have a good agreement with radiosonde and GNSS measured ones with the same correlation coefficient of 0.976, and the root mean square errors (RMSEs) are 3.95 and 3.73 mm, respectively. Compared with the radiosonde and GNSS, FY-4A Advanced Geostationary Radiation Imager (AGRI) was found to underestimate the water vapor during humid conditions when the PWV greater than 50 mm. The magnitude of underestimation increases with the growing in water vapor content. In terms of the spatial variability, the RMSE of FY-4A PWV decreases with the increase in latitude, while the relative RMSE (R-RMSE) displays an opposite pattern. RMSE from the comparison between FY-4A and ERA5 PWV varies from 0-6 mm depending upon the location. Statistics showed that 55.08%, 59.79%, and 83.13% RMSE values are less than 4 mm in the evaluation by radiosonde, GNSS and ERA5, respectively. The seasonal and diurnal variations of RMSE showed that (1) summer exhibited larger RMSE than winter and (2) daytime obtained slightly worse performance than nighttime.

Keywords: era5; water vapor; radiosonde gnss

Journal Title: IEEE Transactions on Geoscience and Remote Sensing
Year Published: 2022

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