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A Simplified Algorithm to Estimate Latent Heating Rate Using Vertical Rainfall Profiles over the Tibetan Plateau
A Simplified Algorithm to Estimate Latent Heating Rate Using Vertical Rainfall Profiles over the Tibetan Plateau
教师介绍

本讲教师:李锐
所属学科:理科
人  气:200

课程介绍
报告人简介:Dr. Li is a professor in the School of Earth and Space Science (SESS) in the University of Science and Technology of China (USTC). He got his Ph.D. in Atmospheric Science in USTC in 2005, and he ever worked as a post-doc and a full researh scientist in the State University of New York at Albany from 2006 to 2013. His research has been focusing on cloud and precipitation and their impacts on ecosystem and atmospheric circulations, with emphasis on developing advanced observational products with advanced remote sensing. Specifically, he is working on the following aspects: 1)Developing physics-based latent heating (LH) retrieval and understanding precipitation and associated LH impacts on atmospheric circulation. 2)Studying the aerosol-cloud-precipitation interactions. 3)Developing novel and comprehensive long-term synergetic dataset of vegetation-cloud-precipitation-radiation-soil moisture-atmosphere state, and improving understanding of the key atmosphere and land processes and land-atmosphere interaction. 报告内容简介:In this study, a simplified semi-physical retrieval algorithm for latent heat (LH) released from precipitation over the Tibetan Plateau (TP) is derived and analyzed. The physical basis of this algorithm is that the vertical gradient of rain rate (-dR/dZ or Γ) represents the temporal rate of rain formation based on the steady-state assumption, and the precipitation formation rate is closely related to the cloud formation rate, which is directly proportional to the latent heating rate. In this algorithm, the LH rate is represented as a linear function of Γ with fixed slope and intercept term determined by 3-month Weather Research and Forecasting Model simulations over the TP. Comparison to model results shows that the retrieval scheme can correctly capture the main features of LH horizontally and vertically. Comparison with results from other two widely accepted LH algorithms usingGlobal Precipitation Measurement Dual Precipitation Radar real observations shows that this retrieval scheme generally agrees with them over low-altitude areas but yields more convective-type LH over the highlands with a relatively lower heating center. This algorithm is specially designed for application to high altitudes. With this algorithm and the associated coefficients provided, researchers can readily do LH retrieval in their cases of interest by themselves. The only required input is the vertical profile of rain rate, which is available from current satellite precipitation radar observations.

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