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沙漠下垫面地面温度及能量收支的BATS模式参数化改进
引用本文:马迪,吕世华,鲍艳,奥银焕,韩博,赵林. 沙漠下垫面地面温度及能量收支的BATS模式参数化改进[J]. 中国沙漠, 2017, 37(4): 749-754. DOI: 10.7522/j.issn.1000-694X.2015.00282
作者姓名:马迪  吕世华  鲍艳  奥银焕  韩博  赵林
作者单位:1. 中国科学院寒区旱区环境与工程研究所 寒旱区陆面过程和气候变化重点实验室, 甘肃 兰州 730000;2. 成都信息工程大学, 四川 成都 610225;3. 南京信息工程大学, 江苏 南京 210044
基金项目:国家自然科学基金项目(41405015);中国科学院寒区旱区环境与工程研究所青-人才项目;国家公益性行业(气象)科研重大专项(GYHY201506001);中国科学院寒区旱区环境与工程研究所科技服务网络(STS)计划(Y651671001);中国科学院青-创新促进会项目(2014384)
摘    要:利用陆面过程模式BATS,引入地表发射率及两种大气发射率参数化方案,同时引入不同的地表粗糙度参数化方案,对比各种参数化方案对沙漠下垫面地面温度及能量收支的模拟状况。结果表明:采用Van Bavel等发展的地表发射率及Chung等发展的大气发射率方案可以明显改进地面温度及向上长波辐射的模拟,Chung等方案在夜间与正午的模拟效果更好,减小了1 ℃左右的地面温度模拟偏差,减小了10 W·m-2左右的向上长波辐射模拟偏差。晴天地面温度及向上长波辐射的模拟结果优于阴天。利用Zhang等发展的裸土粗糙度参数化方案也会提高模式对地表感热通量模拟的准确性。

关 键 词:陆面过程模式  发射率  下垫面粗糙度  地面温度  能量收支  
收稿时间:2015-11-26
修稿时间:2015-12-14

Parameterization Improvement on Simulation of Surface Temperature and Energy Budget over Desert using BATS Model
Ma Di,Lv Shihua,Bao Yan,Ao Yinhuan,Han Bo,Zhao Lin. Parameterization Improvement on Simulation of Surface Temperature and Energy Budget over Desert using BATS Model[J]. ournal of Desert Research, 2017, 37(4): 749-754. DOI: 10.7522/j.issn.1000-694X.2015.00282
Authors:Ma Di  Lv Shihua  Bao Yan  Ao Yinhuan  Han Bo  Zhao Lin
Affiliation:1. Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environment and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;2. Chengdu University of Information Technology, Chengdu 610225, China;3. Nanjing University of Information Science & Technology, Nanjing 210044, China
Abstract:An atmospheric emissivity parameterization scheme,two bare soil emissivity parameterization schemes and two surface roughness parameterization schemes are evaluated in a land surface model (BATS) over desert.It shows that Van's bare soil emissivity scheme and Chung's atmospheric emissivity scheme can significantly improve the simulation of surface temperature and upward longwave radiation.Compared with the control run,Chung's scheme reduces the negative bias in the simulated surface temperature and upward longwave radiation by 1℃ and 10 W·m-2,respectively.The simulations of surface temperature and upward longwave radiation on clear days are better than those on cloudy days.Moreover,the surface roughness parameterization,which is given by Zhang,can significantly improve the simulation of sensible heat flux.
Keywords:land surface model  emissivity  surface roughness  surface temperature  energy budget  
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