Evaluation of Satellite-Derived Atmospheric Temperature and Humidity Profiles and Their Application as Precursors to Severe Convective Precipitation
This study evaluated the reliability of satellite-derived atmospheric temperature and humidity profiles derived from occultations of Fengyun-3D (FY-3D), the Constellation Observing System for Meteorology, Ionosphere, and Climate-2 (COSMIC-2), the Meteorological Operational Satellite program (METOP), and the microwave observations of NOAA Polar Orbital Environmental Satellites (POES) using various conventional sounding datasets from 2020 to 2021. Satellite-derived profiles were also used to explore the precursors of severe convective precipitations in terms of the atmospheric boundary layer (ABL) characteristics and convective parameters. It was found that the satellite-derived temperature profiles exhibited high accuracy, with RMSEs from 0.75 K to 2.68 K, generally increasing with the latitude and decreasing with the altitude. Among these satellite-derived profile sources, the COSMIC-2-derived temperature profiles showed the highest accuracy in the middle- and low-latitude regions, while the METOP series had the best performance in high-latitude regions. Comparatively, the satellite-derived relative humidity profiles had lower accuracy, with RMSEs from 13.72% to 24.73%, basically increasing with latitude. The METOP-derived humidity profiles were overall the most reliable among the different data sources. The ABL temperature and humidity structures from these satellite-derived profiles showed different characteristics between severe precipitation and non-precipitation regions and could reflect the evolution of ABL characteristics during a severe convective precipitation event. Furthermore, some convective parameters calculated from the satellite-derived profiles showed significant and rapid changes before the severe precipitation, indicating the feasibility of using satellite-derived temperature and humidity profiles as precursors to severe convective precipitation.
Authors
- Xiaoze Xu (ORCID: https://orcid.org/0009-0006-9254-9894)
- Yuanjie Zhang (ORCID: https://orcid.org/0000-0002-3661-3170)
- Yuqi Wang (ORCID: https://orcid.org/0000-0001-6230-0330)
- Bai Weihua
- Jialing Xin
- Zhaokai Song
Institutions
- China Meteorological Administration (CN)
- National University of Defense Technology (CN)
- Chinese Academy of Sciences (CN)
- Nanjing University of Information Science and Technology (CN)
- National Space Science Center (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2024-12-11
- DOI
- https://doi.org/10.3390/rs16244638
- Citations
- 3
- Primary Topic
- Precipitation Measurement and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.13
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences