东亚夏季降水雨团尺度精细化结构的对流解析模拟研究

批准号:
42005039
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
李普曦
依托单位:
学科分类:
气候与气候系统
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
李普曦
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中文摘要
降水的时空分布及过程演变是大气动力、热力过程对局地水循环的综合反映,对水资源分布起着重要的调节作用。东亚夏季降水成因复杂特征多样,当前气候模式对东亚夏季降水存在较大的系统性偏差,而对流参数化方案被普遍认为是降水模拟不确定性的重要来源。随着计算资源高速发展,对流解析模式可将水平分辨率精细(≤4km)到关闭对流参数化方案、进而显式表征深对流过程,是高分辨率模拟的国际前沿。当前针对东亚的对流解析气候模拟研究相对较少,同时缺乏围绕降水精细化结构的深入分析。为此,本项目拟使用雨团追踪方法,将雨团作为研究单元,分析东亚夏季降水在雨团尺度的精细化结构及演变特征;在此基础上研究对流解析模式对于东亚夏季降水精细化结构的模拟性能与偏差特征;考察与降水模拟偏差对应的环流结构,揭示导致降水模拟偏差的热力、动力因子。本项目的开展能够加深对于东亚夏季降水机理的理解,有利于推动对流解析模式在东亚气候模拟研究的合理应用。
英文摘要
The temporal-spatial distribution and the evolution characteristics of precipitation are intimately connected with both dynamical and thermal atmospheric conditions, and play an essential role in modulating the distribution of water resources. East Asian summer monsoon (EASM) precipitation shows unique regional features due to complex interactions. Current climate models still exhibit evident biases over the EASM and the deep convection parameterization has been widely regarded as the dominant source of model uncertainties in simulating precipitation. Due to the advances in scientific computing, numerical models can now be refined to the point (≤4km) where the convection parameterization can be switched off and thus resolve deep convection explicitly. This kind of models have been named as “convection-permitting model (CPM)” and become the international frontier of high-resolution modeling. Current CPM simulations over the EASM in a climate perspective are relatively less. Moreover, the existed researches focusing on the CPM simulations are short of deep analysis based on the fine-scale precipitation features. In this project, we will first investigate the fine-scale precipitation features of rain cells over the EASM, by applying the iterative rain cell tracking method. Then, we will thoroughly investigate the performance the CPM in simulating the fine-scale features of precipitation over the EASM, and investigate the added value and systematic biases of the CPM in simulating the summer precipitation. Finally, we will investigate vertical atmospheric structures associated with the precipitation biases through some typical precipitation events over the EASM, and reveal both dynamic and thermodynamic factors that induce the precipitation biases. This project can deepen our understanding of the physical mechanisms of the precipitation over the EASM, and also has great scientific importance in promoting rational applications of the CPM on the historical simulation and the climate projection of the precipitation over East Asia.
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DOI:https://doi.org/10.1175/WAF-D-22-0218.1
发表时间:2023
期刊:Weather and Forecasting
影响因子:--
作者:Juan Li;Haoming Chen;Puxi Li;Xingwen Jiang
通讯作者:Xingwen Jiang
Enhanced Turbulent Heat Fluxes Improve Meiyu‐Baiu Simulation in High‐Resolution Atmospheric Models
增强的湍流热通量改善了高分辨率大气模型中的 Meiyu–Baiu 模拟
DOI:10.1029/2020ms002430
发表时间:2021-08
期刊:Journal of Advances in Modeling Earth Systems
影响因子:6.8
作者:Ding Tian;Zhou Tianjun;Chen Xiaolong;Zou Liwei;Li Puxi;Roberts Malcolm J;Wu Peili
通讯作者:Wu Peili
DOI:https://doi.org/10.1029/2021JD034788
发表时间:2021
期刊:Journal of Geophysical Research: Atmospheres
影响因子:--
作者:Yin Zhao;Tianjun Zhou;Puxi Li;Kalli Furtado;Liwei Zou
通讯作者:Liwei Zou
DOI:10.1007/s00382-023-07009-w
发表时间:2023-11
期刊:Climate Dynamics
影响因子:4.6
作者:Juan Li;Haoming Chen;Xingwen Jiang;Puxi Li
通讯作者:Juan Li;Haoming Chen;Xingwen Jiang;Puxi Li
DOI:10.1002/joc.8029
发表时间:2023-02
期刊:International Journal of Climatology
影响因子:--
作者:Yin Zhao;Jian Li;Puxi Li
通讯作者:Yin Zhao;Jian Li;Puxi Li
国内基金
海外基金
