Calibrating FY4A QPE using CMPA over Yunnan–Kweichow Plateau in summer 2019

Abstract

Accurate satellite-based quantitative precipitation estimates (QPE) with high-quality and fine spatio-temporal resolutions play crucial roles in the meteorological analysis and the research of the global water cycle. The FY-4A is the first satellite of China’s FengYun4 satellite series (FY4 series), the most recent and advanced generation of meteorological satellite operated by China. In this study, China Merged Precipitation Analysis (CMPA, 0.1°/hourly) dataset, generated by combining data of Automatic Weather Stations (AWS) with the Climate precipitation center Morphing (CMORPH), was adopted to calibrating and evaluating the FY-4A QPE (0.04/°/half-hourly) by Spatio-Temporal Disaggregation Calibration Algorithm (STDCA), over Yunnan–Kweichow Plateau (YKP). Additionally, we generate new precipitation data called CFY QPE by combining FY4A QPE with CMPA based on STDCA, which has the finer spatio-temporal resolution and higher-quality data. The results indicate that CMPA is suitable in anchoring FY4A QPE, and the systematic biases and random errors of CFY QPE are significantly reduced, especially with a better correlation against gauge in terms of CC (~0.78) and mKGE (~0.7). Besides, the capabilities of capturing precipitation events on CFY QPE significantly improved with POD (~0.82) and FAR (~0.25). Collectively, the significant advantages of STDCA are shown in improving the quality of FY4A QPE.

Keywords

• precipitation
• calibration
• fy4a qpe
• cmpa
• yunnan-kweichow plateau