高原气象

高原气象 >

2014 , Vol. 33 >Issue 2: 323 - 336

DOI: https://doi.org/10.7522/j.issn.1000-0534.2014.00012

论文

CLM4.0土壤水分传输方案改进在青藏高原陆面过程模拟中的效应

  • 熊建胜 ,
  • 张宇 ,
  • 王少影 ,
  • 尚伦宇 ,
  • 陈云刚 ,
  • 沈晓燕
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  • 中国科学院寒区旱区环境与工程研究所 寒旱区陆面过程与气候变化重点实验室, 兰州 730000;2. 中国科学院大学, 北京 100049

收稿日期: 2013-12-23

  网络出版日期: 2014-04-28

基金资助

公益性行业专项（GYHY201306020，GYHY201106022）；国家自然科学基金项目（41205006，41275016）；中国科学院寒区旱区环境与工程研究所青年人才成长基金（51Y351181）

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Influence of Soil Moisture Transmission Scheme Improvement in CLM4.0 on Simulation of Land Surface Process in Qinghai-Xizang Plateau

  • XIONG Jiansheng ,
  • ZHANG Yu ,
  • WANG Shaoying ,
  • SHANG Lunyu ,
  • CHEN Yungang ,
  • SHEN Xiaoyan
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  • Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environment Research Institute, Chinese Academy of Science, Lanzhou 730000, China;2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2013-12-23

  Online published: 2014-04-28

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摘要

利用2010年5月25日-12月31日玛曲高寒草原的气象观测资料和陆面过程模式（CLM4.0）对玛曲高寒草原陆面过程进行了数值模拟。通过评估模式的模拟性能、模式对含砂量的敏感程度以及模式土壤水分传输方案改进对青藏高原地区陆面过程模拟的影响，发现CLM4.0模式能较好地再现观测站土壤温、湿度、地表辐射、湍流通量等的变化趋势，但土壤温度模拟偏低，感热通量模拟偏大；含砂量增多会减弱土壤的持水能力，使得夏季感热通量增大而潜热通量减小；CLM4.0模式中新引入的有机质对土壤温、湿度模拟均有重要影响，Richards方程和径流计算的修改则对土壤含水量模拟影响较大，这对其他陆面模式的改进具有一定的指导意义。

关键词： 青藏高原; 陆面过程; CLM4.0模式; 土壤水分传输方案

本文引用格式

熊建胜 , 张宇 , 王少影 , 尚伦宇 , 陈云刚 , 沈晓燕 . CLM4.0土壤水分传输方案改进在青藏高原陆面过程模拟中的效应[J]. 高原气象, 2014 , 33(2) : 323 -336 . DOI: 10.7522/j.issn.1000-0534.2014.00012

Abstract

Using the Community Land Model version 4.0(CLM4.0) and the observed meteorological data at Maqu station in the Qinghai-Xizang Plateau from 25 May to 31 December 2010 as the forcing data, several simulation experiments have been done. After evaluating the model simulation performance, the model sensitivity to the sand content and the effect of soil moisture transmission scheme improvement on the simulation of land surface process in the Qinghai-Xizang Plateau, it is found that the model can reflect the variation trend of soil temperature and moisture, surface radiation, turbulance energy at Maqu station, but the simulated soil temperature is low and sensible heat flux is too large. The increase of the sand content will decrease the water holding capacity of soil, which leads to the sensible heat flux increasing and latent heat flux decreasing in summer. The organic matters added in CLM4.0 have an important influence on the simulation of both soil temperature and moisture, however, the modified Richards equation and runoff parameters affect much more the simulation of soil moisture, which is a guide to the improvement of other land surface models.

Key words： Qinghai-Xizang Plate; Land surface process; CLM4.0 model; Soil moisture transm

参考文献

[1]Dickinson R E, Oleson K W, Bonan G, et al. The Community Land Model and its climate statistics as a component of the Community Climate System Model[J]. J Climate, 2006, 19(11): 2302-2324.
[2]Lawrence D M, Oleson K W, Flanner M G, et al. Parameterization improvements and functional and structural advances in version 4 of the Community Land Model[J]. J Adv Model Earth Syst, 2011, 3(1), doi: 10.1029/2011MS000045.
[3]Lawrence D M, Slater A G, Romanovsky V E, et al. Sensitivity of a model projection of near-surface permafrost degradation to soil column depth and representation of soil organic matter[J]. J Geophys Res, 2008, 113, F02011, doi:10.1029/2007JF000883.
[4]Flanner M G, Zender C S. Linking snowpack microphysics and albedo evolution[J]. J Geophys Res, 2006, 111, D12208, doi: 10.1029/2005JD006834.
[5]Sakuguchi K, Zeng X. Effects of soil wetness, plant litter, and under-canopy atmospheric stability on ground evaporation in the Community Land Model(CLM3.5)[J]. J Geophys Res, 2009, 114, D01107, doi: 10.1029/2008JD010834.
[6]Randerson J T, Hoffman F M, Thornton P E, et al. Systematic assessment of terrestrial biogeochemistry in coupled climate carbon models[J]. Global Change Biology, 2009, 15(10): 2462-2484.
[7]Lawrence D M, Slater A G. Incorporating organic soil into a global climate model[J]. Climate Dyn, 2008, 30(2-3): 145-160.
[8]Zeng X, Decker M. Improving the numerical solution of soil moisture-based Richards equation for land models with a deep or shallow water table[J]. J Hydrometeor, 2009, 10(1): 308-319.
[9]Decker M, Zeng X. Impact of modified Richards equation on global soil moisture simulation in the Community Land Model (CLM3.5)[J]. J Adv Mode Earth Syst, 2009, 1(3): doi: 10.3894/JAMES.2009.1.5.
[10]Oleson K W, Niu G Y, Yang Z L, et al. Improvements to the Community Land Model and their impact on the hydrological cycle[J]. J Geophys Res, 2008, 113, G01021, doi: 10.1029/2007JG000563.
[11]周万福, 周秉荣, 李晓东, 等. 青藏高原东部地区辐射平衡及各分量变化特征[J]. 高原气象, 2013, 32(2): 327-333, doi: 10.7522/j.issn.1000-0534.2012.00032.
[12]王愚, 胡泽勇, 荀学义, 等. 藏北高原土壤热传导率参数化方案的优化和检验[J]. 高原气象, 2013, 32(3): 646-653, doi: 10.7522/j.issn.1000-0534.2013.00063.
[13]吴晓鸣, 马伟强, 马耀明. 夏季藏北高原地表热通量特征观测与模拟[J]. 高原气象, 2013, 32(5): 1246-1252, doi: 10.7522/j.issn.1000-0534.2013.00082.
[14]王学佳, 杨梅学, 万国宁. 近60年青藏高原地区地面感热通量的时空演变特征[J]. 高原气象, 2013, 32(6): 1557-1567, doi: 10.7522/j.issn.1000-0534.2012.00151.
[15]罗斯琼, 吕世华, 张宇, 等. CoLM模式对青藏高原中部BJ站陆面过程的数值模拟[J]. 高原气象, 2008, 27(2): 259-271.
[16]张宇. 藏北高原陆面过程的模拟试验[J]. 大气科学, 2002, 26(3): 387-393.
[17]王澄海, 师锐. 青藏高原西部陆面过程特征的模拟分析[J]. 冰川冻土, 2007, 29(1): 73-81.
[18]王澄海, 师锐, 左洪超. 青藏高原西部冻融期陆面过程的模拟分析[J]. 高原气象, 2008, 27(2): 240-248.
[19]陈海山, 孙照渤. 青藏高原单点地气交换过程的模拟试验[J]. 高原气象, 2005, 24(1): 9-15.
[20]Luo S, Lü S, Zhang Y. Development and validation of the frozen soil parameterization scheme in Common Land Model[J]. Cold Regions Science and Technology, 2009, 55(1): 130-140.
[21]王少影, 张宇, 吕世华, 等. 玛曲高寒草甸地表辐射与能量收支的季节变化[J]. 高原气象, 2012, 31(3): 605-614.
[22]邵明安, 王全九, 黄明斌. 土壤物理学[M]. 北京: 高等教育出版社, 2006: 19.
[23]Flanner M G, Zender C S. Snowpack radiative heating: Influence on Tibetan Plateau climate[J]. Geophys Res Lett, 2005, 32, L06501, doi: 10.1029/2004GL022076.
[24]Flanner M G, Zender C S, Randerson J T, et al. Present day climate forcing and response from black carbon in snow[J]. J Geophys Res, 2007, 112, D11202, doi: 10.1029/2006JD08003.
[25]Niu G Y, Yang Z L. An observation based formulation of snow cover fraction and its evaluation over large North American river basins[J]. J Geophys Res, 2007, 112, D21101, doi: 10.1029/2007JD008674.
[26]Hogrefe C, Rao S T, Kasibhatla P, et al. Evaluating the performance of regional-scale photochemical modeling systems: Part I-Meteorological predictions[J]. Atmos Environ, 2001, 35(24): 4159-4174.
[27]Yu S C, Eder B, Dennis R, et al. New unbiased symmetric metrics for evalution of air quality models[J]. Atmos Sci Lett, 2006, 7(1): 26-34.
[28]Zeng X, Dickinson R E. Effect of surface sublayer on surface skin temperature and fluxes[J]. J Climate, 1998, 11: 537-550.
[29]张宇, 吕世华. 陆面过程模式对不同土壤物理性质的敏感性研究[J]. 冰川冻土, 2001, 23(3): 270-275.
[30]Bonan G B, Shugart H H. Environmental factors and ecological processes in boreal forests[J]. Ann Rev Ecol Sys, 1989, 20: 1-28.
[31]Hinzman L, Kane D, Gieck R, et al. Hydrologic and thermal properties of the active layer in the Alaskan Arctic[J]. Cold Regions Science and Technology, 1991, 19(2): 95-110.
[32]陈渤黎, 吕世华, 罗斯琼. CLM3.5模式对青藏高原玛曲站陆面过程的数值模拟研究[J]. 高原气象, 2012, 31(6): 1511-1522.
[33]Holton J R. An Introduction to Dynamic Meteorology[M]. 4<sup>th</sup> ed. International Geophysics Series. California: Elsevier Academic Press, 2004: 88, 535.
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