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作 者:陶星宇 吕世华 刘宜纲[4] TAO Xingyu;L Shihua;LIU Yigang(Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,China;Huafeng Meteorological Media Group Co.,Ltd,Beijing 100081,China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China;Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing 100101,China)
机构地区:[1]成都信息工程大学大气科学学院高原大气与环境四川省重点实验室,四川成都610225 [2]中国气象局华风气象传媒集团有限责任公司,北京100081 [3]南京信息工程大学气象灾害预报预警与评估协同创新中心,江苏南京210044 [4]中国科学院青藏高原研究所,北京100101
出 处:《大气科学学报》2023年第4期549-560,共12页Transactions of Atmospheric Sciences
基 金:第二次青藏高原综合科学考察研究项目(2019QZKK0103);国家自然基金资助项目(41975007)。
摘 要:青藏高原(简称高原,下同)地形复杂,各个区域土壤条件差异较大,土壤砾石与有机质对土壤水热有较大的影响。本文使用耦合了CLM4.5的区域气候模式RegCM4.7,通过修改模式所用地表数据以及相应的土壤水热参数化方案,分别建立了砾石方案(test2)和砾石-有机质方案(test3)。模拟结果表明:test2较原方案(test1)对于高原西部的模拟效果提升明显,但对于高原东部的模拟效果欠佳。test3在test2的基础上,提升了高原中部与东部浅层土壤的模拟效果。test3的浅层土壤区域平均温度均方根误差从2.11℃下降到0.47℃,浅层土壤区域平均湿度均方根误差从0.05 mm^(3)·mm^(-3)下降到0.01 mm^(3)·mm^(-3)。同时,三种方案均能较好地模拟高原的地表温度。其中test3误差最小,区域平均的均方根误差从2.18℃下降到0.74℃,与再分析数据更加接近。The Tibetan Plateau exhibits complex train,resulting in significant variability in soil conditions across different regions.Gravel and soil organic matter have a substantial influence on soil thermal and hydraulic properties.In this study,we employ the regional climate model RegCM4.7 coupled with CLM4.5 to modify the surface data and implement a corresponding soil thermal and hydraulic parameterization scheme.We conduct two tests:one considering the influence of gravel(test2)and another considering the combined influence of gravel and organic matter(test3).Our results indicate that test2 significantly improves the simulation accuracy for the western part of the Plateau by incorporating gravel effects but exhibits poor performance for the eastern part.Test3 further enhances the simulation of shallow soil properties in the central and eastern regions based on test2.The regional average root mean square error of shallow soil temperature decreases from 2.11℃to 0.47℃,and the regional average root mean square error of shallow soil moisture decreases from 0.05 mm^(3)·mm^(-3)to 0.01 mm^(3)·mm^(-3)when transitioning from test1 to test3.Furthermore,all three schemes successfully simulate the surface temperature of the Tibetan Plateau,with test3 exhibiting the smallest error.The root mean square error of the regional average decreases from 2.18℃to 0.74℃,bringing it closer to the reanalysis data.
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