- 1Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Ministry of Education, Nanning , China; (lianghaixia@email.nnnu.edu.cn; lizhi@nnnu.edu.cn);
- 2Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Nanning Normal University, Nanning , China;
- 3Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou , China; (chensheng@nieer.ac.cn)
- 4Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai , China;
- 5School of Geography and Tourism, Jiaying University, Meizhou , China; (lixiaoyu@jyu.edu.cn)
- 6Guangxi Meteorological Information Center, Nanning , China; (liyanpinggx@163.com)
- 7Guangxi Institute of Meteorological Sciences, Nanning , China; (wcx_hc@163.com)
In the summer of 2023, North China was hit by an exceptionally intense precipitation storm caused by Typhoons Doksuri and Khanun, resulting in significant secondary disasters and underscoring the critical need for accurate rainfall forecasting. Satellite-based quantitative precipitation estimation (QPE) products, such as Integrated Multi-Satellite Retrievals for GPM (IMERG) and Global Satellite Mapping of Precipitation (GSMaP) from the Global Precipitation Measurement (GPM) Mission, show great merits for enhancing forecasts. This study uses a dense rain gauge network as a benchmark to evaluate the performance of the latest version 7B IMERG and version 8 GSMaP satellite-based QPE products during the 2023 summer extreme precipitation event in North China. The satellite-based QPE products include four satellite-only products, namely IMERG early run (IMERG_ER), IMERG late run (IMERG_LR), GSMaP near-real-time (GSMaP_NRT), and GSMaP microwave-infrared reanalyzed (GSMaP_MVK), as well as two gauge-corrected products IMERG final run (IMERG_FR) and GSMaP gauge-adjusted (GSMaP_Gauge). The results show that the satellite-based QPE products, particularly IMERG_LR and GSMaP_MVK, show good performance in capturing the spatial distribution and overall rainfall amounts during the extreme precipitation event. However, they have significant under-detect high-intensity precipitation events in this region. The IMERG products generally outperform the GSMaP products, especially in terms of temporal rainfall measurement, but all products tend to underestimate rainfall. At high rainfall rates, while the detection ability is high, the false alarm ratios are also significantly elevated for all satellite-based QPE products. These findings highlight the need for further improvement of satellite-based QPE products for more accurate and reliable rainfall estimation.
How to cite: Liang, H., Li, Z., Chen, S., Li, X., Li, Y., and Wei, C.: Evaluation of Satellite-Based Precipitation Products in the 2023 Summer Extreme Precipitation Events Over North China, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9513, https://doi.org/10.5194/egusphere-egu25-9513, 2025.
