Affiliation:
1. College of Atmospheric Sounding, Chengdu University of Information Technology, Chengdu 610225, China
2. China Meteorological Administration Radar Meteorology Key Laboratory, Nanjing 210000, China
3. Yunnan Atmospheric Sounding Technology Support Center, Yunnan Meteorological Bureau, Kunming 650034, China
Abstract
This study developed a satellite, reanalysis, and gauge data merging model for daily-scale analysis using a random forest algorithm in Sichuan province, characterized by complex terrain. A high-precision daily precipitation merging dataset (MSMP) with a spatial resolution of 0.1° was successfully generated. Through a comprehensive evaluation of the MSMP dataset using various indices across different periods and regions, the following findings were obtained: (1) GPM-IMERG satellite observation data exhibited the highest performance in the region and proved suitable for inclusion as the initial background field in the merging experiment; (2) the merging experiment significantly enhanced dataset accuracy, resulting in a spatiotemporal distribution of precipitation that better aligned with gauge data; (3) topographic factors exerted certain influences on the merging test, with greater accuracy improvements observed in the plain region, while the merging test demonstrated unstable effects in higher elevated areas. The results of this study present a practical approach for merging multi-source precipitation data and provide a novel research perspective to address the challenge of constructing high-precision daily precipitation datasets in regions characterized by complex terrain and limited observational coverage.
Funder
the Key R&D Program of Yunnan Provincial Department of Science and Technology
Project of the Sichuan Department of Science and Technology
Open Grants of China Meteorological Administration Radar Meteorology Key Laboratory
Key Laboratory of Atmospheric Sounding Program of China Meteorological Administration
Key Grant Project of Science and Technology Innovation Capacity Improvement Program of CUIT
Opening Foundation of Key Laboratory of Atmosphere Sounding
China Meteorological Administration
CMA Research Centre on Meteorological Observation Engineering Technology
Subject
General Earth and Planetary Sciences
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