Inversion of heavy precipitation in Hunan based on FY-3D/MWRI data

doi:10.6046/zrzyyg.2024179

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Abstract

Using level-1 (L1) brightness temperature data from the Microwave Radiation Imager (MWRI) on board Fengyun-3D (FY-3D) satellite and the corresponding Level-2 (L2) precipitation products, this study established a precipitation rate inversion model for land surface heavy precipitation in Hunan Province based the polarization corrected temperature (PCT) and scatter index (SI). The proposed model was validated using individual examples. The results indicate that the precipitation rates retrieved from the L1 brightness temperature data of the FY-3D satellite were generally consistent with the results obtained from the L2 precipitation products. Compared to actual data, the retrieved precipitation rates were slightly higher in low precipitation areas but smaller in centers of high precipitation areas. The ascending orbit-based inversion model exhibited a correlation coefficient, mean absolute error (MAE), and root mean square error (RMSE) of 0.876 1, 0.771 1, and 1.151 4 mm/h, respectively. Conversely, the descending orbit-based inversion model presented a correlation coefficient, MAE, and RMSE of 0.911 3, 1.130 4, and 1.832 2 mm/h, respectively. The inversion results showed a larger precipitation distribution range than that of L2 products. Compared to the measurements at ground meteorological stations, the inversion model demonstrated higher accuracy than L2 products. This study successfully determined the distribution of land surface heavy precipitation in Hunan through inversion. The results of this study can provide a reference for investigating the relationship between microwave brightness temperature and precipitation and estimating land surface heavy precipitation.

Keywords FY-3D/MWRI PCT-SI algorithm heavy precipitation precipitation rate inversion

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TP79

Issue Date: 03 September 2025

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	Taoran WANG
	Ying WU
	Jingwen MA
	Yuanyuan HUANG
	Qijia FU

Cite this article:

Taoran WANG,Ying WU,Jingwen MA, et al. Inversion of heavy precipitation in Hunan based on FY-3D/MWRI data[J]. Remote Sensing for Natural Resources, 2025, 37(4): 212-219.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2024179 OR https://www.gtzyyg.com/EN/Y2025/V37/I4/212

Fig.1 Scatter plot of L2 products and retrieved rain rate from 1 to 10,June,2022

Fig.2 Comparison of retrieved rain rate with FY-3D satellite L2 products from 1 to 10, June, 2022

Fig.3 The rain rate obtained from the inversion of two precipitation cases fitted to the scatter plot of the L2 product

Tab.1 Model precision evaluation indicators

Fig.4 Comparison of retrieved rain rate with FY-3D satellite L2 products and station data from 18 to 21, June, 2022

Fig.5 Comparison of retrieved rain rate with FY-3D satellite L2 products and station data from 2 to 4, April, 2023

Fig.6 The L2 products of two precipitation cases fitted to the scatter plot of the station data (ascending orbits)

Fig.7 The rainfall intensity obtained from the inversion of two precipitation cases fitted to the scatter plot of the station data (ascending orbits)

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