- 1Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China (1981801278@qq.com)
- 2Nagqu Plateau Climate and Environment Observation and Research Station of Tibet Autonomous Region, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Nagqu, China
- 3University of Chinese Academy of Sciences, Beijing, China
- 4Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
The Tibetan Plateau, as the source of major rivers in Asia, plays a critical role in influencing the ecological environment, production, and livelihoods both within the region and downstream. Consequently, enhancing the accuracy and efficiency of extreme weather forecasting in this area is of paramount importance. This study introduces a lightning data assimilation scheme that utilizes the Fengyun-4A Lightning Mapping Imager and the Advanced Direction Time Lightning Detection System (ADTD) flash extent density to assign a pseudo-relative humidity between the cloud base and a specific atmospheric layer. This study evaluates the performance of pseudo-relative humidity assimilation for short-term severe weather forecasting over the central-eastern Tibetan Plateau. The high impact severe weather event that occurred in Datong, Qinghai on 18 August 2022 is used as a case study to compare the effectiveness of lightning data assimilation with assimilation of ground, sounding and radar data for forecasting deep convection in Tibetan Plateau.
How to cite: An, J., Chen, S., and Hu, Z.: Assimilating FY-4A Lightning and Radar Data for Improving Forecasts of a High-Impact Convective Event in the Central-Eastern Tibetan Plateau, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7606, https://doi.org/10.5194/egusphere-egu25-7606, 2025.
