A Thermodynamically Informed Precipitation Retrieval Method Based on FY‐4A/AGRI Multi‐Channel Infrared Observations Over Complex Terrain
Year: 2025
Type: article
Abstract: Accurate precipitation monitoring is critical for hazard risk mitigation in regions characterized by complex terrain. To address these challenges, this study proposes a two‐stage framework that integrates thermodynamic controls, including cloud top brightness temperature (BT) from FengYun‐4A geostationary Multi‐Infrared observations And Orographic effects, for Precipitation retrieval (MIAO2Precip) over China's Sichuan Basin and its surrounding plateau regions at high spatio‐temporal resolutions (0.04°, 15 min). The main findings of this study are: (a) orographic effects (∼16%) contribute comparably to cloud top BT (∼19%) in precipitation retrieval, (b) accuracy of infrared‐based precipitation estimation is jointly influenced by cloud top BT and underlying topographic conditions, and (c) incorporating topography improves heavy precipitation detection (>10 mm/hr) with reduced root mean squared error, bias, and improved correlation coefficient, compared to benchmark products. The results highlight the proposed framework's enhanced capability in identifying heavy precipitation and its potential to support early warning systems in regions with complex topography.
Source: Geophysical Research Letters
DOI: 10.1029/2025gl117433
Institutions: Peking University, Sichuan University, State Key Laboratory of Hydraulics and Mountain River Engineering, University of Reading, China Meteorological Administration, Chinese Academy of Meteorological Sciences, Chengdu Institute of Plateau Meteorology, China Meteorological Administration
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $3,190
OpenAlex ID: W4415427348