Recommended by the Beijing Meteorological Society and the Beijing Disaster Reduction Association, Huang Qianqian and Wang Cheng (in alphabetical order) from the Institute of Urban Meteorology, CMA, Beijing, have been selected according to the "Notice on Announcing the List of Selected Candidates for the 2024-2026 Youth Talent Promotion Project of Beijing Association for Science and Technology."

Huang Qianqian, an associate researcher at the Beijing Urban Meteorological Research Institute, specializes in the mechanisms and numerical simulations of atmospheric boundary layers and atmospheric environment. To investigate the meteorological background conditions associated with large-scale pollution events, she conducted climatological statistics on air stagnation weather nationwide and developed a set of criteria for the atmospheric boundary layer stagnation index. By incorporating two controlling parameters, the boundary layer ventilation coefficient and convective available potential energy, the index's responsiveness to pollution processes was improved, China's atmospheric stagnation climatology was updated, and North China's atmospheric stagnation mechanisms were investigated. The research focused on enhancing the accuracy of air quality models for pollution event simulation and forecasting by examining boundary layer meteorological fields and turbulence statistical properties. An extensive analysis of boundary layer structures and scheme performance during heavy haze events was conducted, leading to the optimization of the empirical coefficients of turbulence equations and turbulence mixing length scales in the boundary layer schemes. In the Youth Talent Promotion Project, the optimization of boundary layer parameterization schemes will be further explored using deep learning methods.

Wang Cheng, a researcher at the Institute of Urban Meteorology, CMA, Beijing, specializes in data assimilation and numerical weather forecast at small to medium scales. To advance the application of China's wind profiler radar network in operational numerical weather forecast, Wang Cheng has researched key assimilation techniques for convective-scale wind profiler radars. His work involves refining dynamical variables, wind field observation operators, and height-dependent observation error models, resulting in enhanced absorption of high-frequency wind profiler dynamical information. Additionally, Wang Cheng devised the joint assimilation method for multi-scale analysis using a wind profiler and Doppler radar, enhancing the model's multi-scale dynamical information coordination and analysis capabilities while refining the representation of fine dynamical structures. These advancements have been implemented in the CMA-BJ model. He is dedicated to advancing China's autonomous numerical forecasting models. His contributions include establishing and operating the CMA-MESO system at the Beijing Meteorological Bureau and participating in data assimilation system development for next-generation atmospheric models. He aims to research radar reflectivity data assimilation for strong convective weather forecasts using the CMA-MESO system, with the goal of enhancing the capability for fine-scale depiction of severe weather and optimizing the application of autonomous and controllable numerical forecasting operational model.

Launched in 2017, the Youth Talent Promotion Project of the Beijing Association for Science and Technology is a regional initiative fostering young science and technology professionals. The project supports organizations in creating selection methods, training models, and evaluation criteria for young talents. This initiative has cultivated numerous outstanding professionals, contributing to a high-level innovative talent reserve. As part of Beijing's "High-level Talent Program", the project plays a key role in establishing Beijing as an international center for science and technology innovation and a hub for top-tier talent. It targets professionals aged 32 and under, working in natural sciences, engineering and technical science, agriculture science, medical science, and interdisciplinary fields, providing three years of stable support for selected candidates.