Impact of the Detection Channels Added by Fengyun Satellite MWHS-II at 183 GHz on Global Numerical Weather Prediction

Author:

Ju Yali12ORCID,He Jieying1ORCID,Ma Gang345,Huang Jing345,Guo Yang678,Liu Guiqing345,Zhang Minjie12,Gong Jiandong345,Zhang Peng678ORCID

Affiliation:

1. Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. Center for Earth System Modeling and Prediction of CMA, Beijing 100081, China

4. Key Laboratory of Earth System Modeling and Prediction, China Meteorological Administration, Beijing 100081, China

5. State Key Laboratory of Severe Weather (LaSW), Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China

6. National Satellite Meteorological Center, Beijing 100081, China

7. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, Beijing 100081, China

8. Innovation Center for Fengyun Meteorological Satellite (FYSIC), China Meteorological Administration, Beijing 100081, China

Abstract

Fine spectral detection can basically solve the problem of low vertical resolution at the 183 GHz water-vapor absorption line, and it is expected to become one of the main methods for next-generation geostationary and polar-orbiting satellites. Here, using data from Microwave Humidity Sounder II (MWHS-II) onboard the Chinese Fengyun 3D (FY-3D) satellite in the Global/Regional Assimilation and Prediction System (GRAPES) Four-Dimensional Variational (4D-Var) system of the China Meteorological Administration (CMA), we explore the assimilation application of the water-vapor absorption line at 183.31 ± 1 GHz, 183.31 ± 3 GHz and 183.31 ± 7 GHz, as well as 183.31 ± 1.8 GHz and 183.31 ± 4.5 GHz, two added channels, to assess the impact of adding the 183.31 ± 1.8 GHz and 183.31 ± 4.5 GHz sampling channels on data assimilation and numerical weather prediction. Our findings reveal a significant increase in the specific-humidity increment, which in the middle–upper troposphere is numerically much larger than in the lower troposphere. Specifically, the assimilation of 183.31 ± 1.8 GHz observations, positioned near the center of the water-vapor absorption line, results in a pronounced adjustment compared with the 183.31 ± 4.5 GHz observations. And under the strong constraint of the numerical model, the Root Mean Square Error (RMSE) of the wind field diminishes more significantly (by an average of 2–4%) after assimilating the water-vapor observations at greater heights.

Funder

National Key Research and Development Program of China

Youth Cross Team Scientific Research Project of the Chinese Academy of Sciences

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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