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三种土壤导热率模型对中国北方地表温度的模拟 被引量:2

Simulation of Land Surface Temperature in Northern China by Three Soil Thermal Conductivity Models
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摘要 为了提高模式CLM4.5(The Community Land Model Version 4.5)对我国北方地表温度的模拟性能,本文利用近30年实况地表温度站点观测资料,开展了Johansen、Côté-Konrad及Lu-Ren三个常用土壤导热率模型对地表温度模拟影响的研究.结果表明,三种导热率方案均能较好地模拟出中国北方地表温度的时空特征,但Lu-Ren方案的模拟误差、均方根误差更小,与实况间的相关性最显著.实况分析表明,近30年来北方地表温度处于快速上升通道中,尤其2003年以来增温趋势更加显著;三种方案均能模拟出这种变化趋势,与实况变化间相关显著,但模拟的增温幅度偏小,其中Lu-Ren方案模拟的变化趋势与实况值最接近.基于Taylor图和降水模拟评估表明,三种方案中Lu-Ren方案模拟效果最好.由此可见,在CLM4.5模式中增加适合我国北方气候模拟的土壤导热率新方案(Lu-Ren方案),提高了CLM模式的模拟效果,促进了该陆面模式的发展. In order to improve the simulation performance of NCAR CLM4.5(The Community Land Model Version 4.5)for land surface temperature(LST)in northern China,the ability of three commonly used soil thermal conductivity(STC)models were tested in this paper.The results show that these schemes can simulate the temporal and spatial characteristics of land surface temperature in northern China well.The LST in northern China has risen in recent 30 years,especially since 2003.The trend can be simulated by all these three schemes and shows a significant correlation with the observed LST,but the simulated warming amplitude is small than that of observation.The overall evaluation based on the taylor diagram and precipitation simulation shows that LR scheme has the best simulation effect.Therefore,a new scheme of STC that more suitable for climate simulation in northern China is added to CLM4.5,which promotes the development of the land surface model.
作者 任余龙 李振朝 蒋俊霞 高晓清 周甘霖 芦亚玲 REN Yulong;LI Zhengchao;JIANG Junxia;GAO Xiaoqing;ZHOU Ganling;LU Yaling(Institute of Arid Meteorology,Chinese Meteoroligical Academy,Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province,Key Laboratory of Arid Climate Change and Disaster Reduction of CMA,Lanzhou 730000,Gansu,China;Northwest Institute of Eco-Environment and Resource,Chinese Academy of Sciences,Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions,Chinese Academy of Sciences,Lanzhou 730000,Gansu,China;Universityof ChineseAcademyof Sciences,Beijing100049,China)
出处 《高原气象》 CSCD 北大核心 2022年第5期1315-1324,共10页 Plateau Meteorology
基金 中国科学院寒旱区陆面过程与气候变化重点实验室开放基金项目(LPCC2020001) 国家自然科学基金项目(41805079) 甘肃省气象局创新团队项目(GSQXCXTD-2020-01) 甘肃省高等学校产业支撑计划项目(2020C-34)。
关键词 CLM4.5模式 地表温度 土壤导热率 数值模拟 CLM4.5 land surface temperature soil thermal conductivity numerical simulation
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