| CWRF对青藏高原气温和降水模拟效果的综合评估 |
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| 引用本文： | 徐蓉蓉,梁信忠,段明铿.CWRF对青藏高原气温和降水模拟效果的综合评估[J].大气科学学报,2021,44(1):104-117. |
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| 作者姓名： | 徐蓉蓉 梁信忠 段明铿 |
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| 作者单位： | 南京信息工程大学 气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/气象灾害预报预警与评估协同创新中心, 江苏 南京 210044;马里兰大学 地球系统科学跨学科中心, 马里兰州 20740 |
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| 基金项目： | 美国国家科学基金会资助项目（EAR1903249）；国家自然科学基金项目（41675056；41991283） |
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| 摘 要： | 利用CWRF(Climate-Weather Research and Forecasting model)对中国区域气候的31 a多物理集合模拟试验,分析了该模式对青藏高原气温和降水的模拟效果及其对水平分辨率和物理过程参数化方案的敏感性。结果表明:1)CWRF降尺度全面改善了全球模式对高原气温和降水的模拟,使气温年循环的均方根误差减小近1℃,月降水量年循环的均方根误差减小10~40 mm,同时显著提高了各月气温和降水与实测资料年际变化的相关系数,最高提升0.6;2)模式分辨率对降水模拟有显著影响,不同分辨率模拟降水差异高达60 mm(54%),模拟偏差随分辨率提高先降低后上升,转折在30 km左右;3)物理过程参数化方案对气温和降水模拟影响显著,不同方案模拟的各月平均气温相差1~4℃,夏季各月降水量相差20~100 mm,其中对气温模拟影响最大的是辐射方案,对降水影响最大的是积云方案。本文为CWRF局地优化对物理参数化及水平分辨率等如何选择提供了依据。
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| 关 键 词： | 区域气候模式 CWRF 青藏高原 物理参数化 水平分辨率 |
| 收稿时间： | 2020/11/3 0:00:00 |
| 修稿时间： | 2020/12/28 0:00:00 |
Evaluation of CWRF simulation of temperature and precipitation on the Qinghai-Tibet Plateau |
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| XU Rongrong,LIANG Xinzhong,DUAN Mingkeng.Evaluation of CWRF simulation of temperature and precipitation on the Qinghai-Tibet Plateau[J].大气科学学报,2021,44(1):104-117. |
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| Authors: | XU Rongrong LIANG Xinzhong DUAN Mingkeng |
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| Institution: | Collaborative Innovation Center on Forecast and Evalution of Meteorological Disasters (CIC-FEMD)/Key Laboratory of Meteorological Disaster,Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC),Nanjing University of Information Science & Technology,Nanjing 210044,China;Department of Atmospheric and Oceanic Science,University of Maryland,MD 20740,USA |
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| Abstract: | Multi-physics ensemble simulation experiments of regional climate in China by CWRF(Climate-Weather Research and Forecasting model) for the period 1979—2016 were applied to analyze and evaluate the simulation of temperature and precipitation over the Tibetan Plateau and its sensitivity to horizontal resolution and parameterization scheme of physical processes.The results show that: 1) Compared with global models,CWRF downscaling improves the simulation of temperature and precipitation over the plateau,reduces the root mean square error (RMSE) of the annual temperature cycle by nearly 1 ℃,and decreases the RMSE of the annual cycle of precipitation by 10—40 mm.At the same time,it significantly improves the correlation coefficient between simulated and measured interannual variability,with the highest increase of 0. 6;2) Model’s resolution has a significant impact on precipitation simulation.The difference of simulated precipitation by models with the different resolution is as high as 60 mm (54%),and the simulation deviation first decreases and then increases with the increased resolution,and the turning point is about 30 km;3) Physical process parameterization scheme has a significant impact on temperature and precipitation simulation. The difference in monthly average temperature between different schematais 1-4 ℃,and the difference in monthly precipitation in summer is 20—100 mm.Among them,the radiation scheme has the highest impact on temperature simulation,and the cumulus scheme has the utmost impact on precipitation.This paper provides a basis for the selection of physical parameterization and horizontal resolution for CWRF local optimization. |
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| Keywords: | regional climate model CWRF Tibetan Plateau physical parameterization horizontal resolution |
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