Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas

Abstract The Tibetan Plateau (TP) significantly impacts the global climate. TP's unique geographical conditions make it one of the areas with the largest precipitation biases in numerical models. The overestimation and distribution biases of precipitation in models are closely related to the pa...

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Main Authors: Junjun Li, Chunsong Lu, Jinghua Chen, Jian Li, Jing Yang, Xiaoqi Xu, Lei Zhu, Xin He, Shiying Wu
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2025-01-01
Series:Journal of Advances in Modeling Earth Systems
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Online Access:https://doi.org/10.1029/2024MS004543
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author Junjun Li
Chunsong Lu
Jinghua Chen
Jian Li
Jing Yang
Xiaoqi Xu
Lei Zhu
Xin He
Shiying Wu
author_facet Junjun Li
Chunsong Lu
Jinghua Chen
Jian Li
Jing Yang
Xiaoqi Xu
Lei Zhu
Xin He
Shiying Wu
author_sort Junjun Li
collection DOAJ
description Abstract The Tibetan Plateau (TP) significantly impacts the global climate. TP's unique geographical conditions make it one of the areas with the largest precipitation biases in numerical models. The overestimation and distribution biases of precipitation in models are closely related to the parameterization of convection processes over the TP. In light of this, a new deep convective entrainment rate parameterization suitable for the region is developed based on convection observational data and is applied to the Grell‐Freitas Ensemble Scheme of the Weather Research and Forecasting Model. The new scheme significantly reduces the overestimation of simulated precipitation over the TP, decreasing the overestimation from 29.4% in the default scheme to 11.8%. The physical mechanism behind the improved simulation results is as follows: first, the entrainment rate of convection in the new scheme is closer to the observed results. Second, in terms of cloud macrophysics, the new scheme increases the convective entrainment rate, reduces the cloud top height and depth of convective clouds, and decreases the number of grids with updrafts in the vertical layers and grids with convective precipitation on the surface. Third, in terms of cloud microphysics, the increased entrainment rate reduces the cloud water content and weakens the intensity of convective precipitation. All of these mechanisms ultimately reduce the accumulated convective precipitation amount, providing an optimized modeling tool for weather and climate research over TP, which also aids in better assessing the water cycle and water resource reserves of the “Asian Water Tower.”
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institution Kabale University
issn 1942-2466
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publishDate 2025-01-01
publisher American Geophysical Union (AGU)
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spelling doaj-art-76279905a9c843569487dee99853d1922025-01-28T13:21:09ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662025-01-01171n/an/a10.1029/2024MS004543Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding AreasJunjun Li0Chunsong Lu1Jinghua Chen2Jian Li3Jing Yang4Xiaoqi Xu5Lei Zhu6Xin He7Shiying Wu8China Meteorological Administration Aerosol‐Cloud and Precipitation Key Laboratory and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD) Nanjing University of Information Science and Technology Nanjing ChinaChina Meteorological Administration Aerosol‐Cloud and Precipitation Key Laboratory and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD) Nanjing University of Information Science and Technology Nanjing ChinaChina Meteorological Administration Aerosol‐Cloud and Precipitation Key Laboratory and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD) Nanjing University of Information Science and Technology Nanjing ChinaState Key Laboratory of Severe Weather Chinese Academy of Meteorology Sciences Beijing ChinaChina Meteorological Administration Aerosol‐Cloud and Precipitation Key Laboratory and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD) Nanjing University of Information Science and Technology Nanjing ChinaNanjing Joint Institute for Atmospheric Sciences Nanjing ChinaChina Meteorological Administration Aerosol‐Cloud and Precipitation Key Laboratory and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD) Nanjing University of Information Science and Technology Nanjing ChinaChina Meteorological Administration Aerosol‐Cloud and Precipitation Key Laboratory and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC‐FEMD) Nanjing University of Information Science and Technology Nanjing ChinaHuaFeng Research Lab for Weather Science and Applications Nanjing University of Information Science and Technology Nanjing ChinaAbstract The Tibetan Plateau (TP) significantly impacts the global climate. TP's unique geographical conditions make it one of the areas with the largest precipitation biases in numerical models. The overestimation and distribution biases of precipitation in models are closely related to the parameterization of convection processes over the TP. In light of this, a new deep convective entrainment rate parameterization suitable for the region is developed based on convection observational data and is applied to the Grell‐Freitas Ensemble Scheme of the Weather Research and Forecasting Model. The new scheme significantly reduces the overestimation of simulated precipitation over the TP, decreasing the overestimation from 29.4% in the default scheme to 11.8%. The physical mechanism behind the improved simulation results is as follows: first, the entrainment rate of convection in the new scheme is closer to the observed results. Second, in terms of cloud macrophysics, the new scheme increases the convective entrainment rate, reduces the cloud top height and depth of convective clouds, and decreases the number of grids with updrafts in the vertical layers and grids with convective precipitation on the surface. Third, in terms of cloud microphysics, the increased entrainment rate reduces the cloud water content and weakens the intensity of convective precipitation. All of these mechanisms ultimately reduce the accumulated convective precipitation amount, providing an optimized modeling tool for weather and climate research over TP, which also aids in better assessing the water cycle and water resource reserves of the “Asian Water Tower.”https://doi.org/10.1029/2024MS004543convective entrainment rateconvection parameterizationTibetan plateauWRF
spellingShingle Junjun Li
Chunsong Lu
Jinghua Chen
Jian Li
Jing Yang
Xiaoqi Xu
Lei Zhu
Xin He
Shiying Wu
Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas
Journal of Advances in Modeling Earth Systems
convective entrainment rate
convection parameterization
Tibetan plateau
WRF
title Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas
title_full Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas
title_fullStr Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas
title_full_unstemmed Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas
title_short Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas
title_sort development and application of a new convective entrainment rate parameterization for improving precipitation simulation over the tibetan plateau and its surrounding areas
topic convective entrainment rate
convection parameterization
Tibetan plateau
WRF
url https://doi.org/10.1029/2024MS004543
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