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Cloud Radiative Feedback to the Large‐Scale Atmospheric Circulation Greatly Reduces Monsoon‐Season Wet Bias Over the Tibetan Plateau in Climate Modeling
Cloud Radiative Feedback to the Large‐Scale Atmospheric Circulation Greatly Reduces Monsoon‐Season Wet Bias Over the Tibetan Plateau in Climate Modeling
Jiarui Liu
(Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Institute for Global Change Studies Tsinghua University Beijing China)
Kun Yang
(Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Institute for Global Change Studies Tsinghua University Beijing China)
Dingchi Zhao
(College of Meteorology and Oceanography National University of Defense Technology Changsha China)
Peili Wu
(Met Office Hadley Centre Exeter UK)
Jiamin Wang
(Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Institute for Global Change Studies Tsinghua University Beijing China)
Xu Zhou
(National Tibetan Plateau Data Center State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China)
Yanluan Lin
(Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Institute for Global Change Studies Tsinghua University Beijing China)
Hui Lu
(Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Institute for Global Change Studies Tsinghua University Beijing China)
Yaozhi Jiang
(School of Resources and Environment University of Electronic Science and Technology of China Chengdu China)
Jiancheng Shi
(National Space Science Center Chinese Academy of Sciences Beijing China)
Journal: Geophysical Research Letters
•
• Wiley
• ISSN: 1944-8007
Abstract
Abstract Over‐estimation of summer precipitation over the Tibetan Plateau (TP) is a well‐known and persistent problem in most climate models. This study demonstrates the impact of a Gaussian Probability Density Function cloud fraction scheme on rainfall simulations using the Weather Research and Forecasting model. It is found that this scheme in both 0.1° and 0.05° resolutions significantly reduces the wet bias through both local feedbacks and large‐scale dynamic process. Specifically, increased cloud water/ice content with this scheme reduces surface shortwave radiation, and consequently surface heat fluxes and evapotranspiration. This, in turn, dampens the large‐scale thermal effect of the TP and weakens the exaggerated monsoon circulation and low‐level moisture convergence. It is this large‐scale dynamic process that contributes the most (∼70%) to the wet bias reduction. Although this paper presents a modeling study, it highlights the cloud radiative feedback to the large‐scale dynamics and precipitation over the TP.
Jiarui Liu, Kun Yang, Dingchi Zhao, et al. (2024). "Cloud Radiative Feedback to the Large‐Scale Atmospheric Circulation Greatly Reduces Monsoon‐Season Wet Bias Over the Tibetan Plateau in Climate Modeling". Geophysical Research Letters. https://doi.org/10.1029/2024gl109180