Arid Zone Research ›› 2025, Vol. 42 ›› Issue (10): 1802-1812.doi: 10.13866/j.azr.2025.10.05

• Weather and Climate • Previous Articles     Next Articles

Analysis of an intense precipitation process in the Tengger Desert based on sounding data assimilation

WANG Yutian(), LONG Xiao(), WANG Hao, CHEN Youao, MA Xingxing   

  1. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, Gansu, China
  • Received:2025-05-27 Revised:2025-07-31 Online:2025-10-15 Published:2025-10-22
  • Contact: LONG Xiao E-mail:wyutian2023@lzu.edu.cn;longxiao@lzu.edu.cn

Abstract:

Precipitation is the primary source of soil moisture in arid and semi-arid regions, making accurate forecasting vital for water resource management and disaster prevention. This study investigates a precipitation event in the Tengger Desert to address the challenges posed by sparse observational data and significant errors in reanalysis data over desert areas. By assimilating radiosonde observations, the initial large-scale background conditions are improved. The findings demonstrate that although both experiments accurately capture the overall precipitation distribution pattern, discrepancies remain when compared with GPM observations. Radiosonde data assimilation enhances key circulation features, such as the 200 hPa South Asian High, the 500 hPa upper-level trough, and the upper-level jet stream. It also strengthens mesoscale warm low-pressure systems and moisture transport, creating conditions more conducive for precipitation development. This enhancement is evidenced by increased TS and ETS scores (approximately 0.1 and 0.08, respectively) and a better representation of mesoscale system dynamics and thermodynamics during peak precipitation, providing valuable scientific insights for precipitation forecasting in desert regions.

Key words: intense precipitation process, sounding data, numerical simulation, assimilation, Tengger Desert