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A Trial to Improve Surface Heat Exchange Simulation through Sensitivity Experiments over a Desert Steppe Site | |
Zhang, Guo1; Zhou, Guangsheng2; Chen, Fei3; Barlage, Michael3; Xue, Lulin3 | |
2014 | |
发表期刊 | JOURNAL OF HYDROMETEOROLOGY |
ISSN | 1525-755X |
卷号 | 15期号:2页码:664-684 |
摘要 | It is still a daunting challenge for land surface models (LSMs) to correctly represent surface heat exchange for water-limited desert steppe ecosystems. This study aims to improve the ability of the Noah LSM to simulate surface heat fluxes through addressing uncertainties in precipitation forcing conditions, rapidly evolving vegetation properties, soil hydraulic properties (SHPs), and key parameterization schemes. Three years (2008-10) of observed surface heat fluxes and soil temperature over a desert steppe site in Inner Mongolia, China, are used to verify model simulations. The proper seasonal distribution of precipitation, along with more realistic vegetation parameters, can improve the simulation of sensible heat flux (SH) and the seasonal variability of latent heat flux. Correctly representing the low-surface exchange coefficient is crucial for improving SH for short vegetation like this desert steppe site. Relating C-zil, the coefficient in the Noah surface exchange coefficient calculation, with canopy height h improves the simulated SH and the diurnal range of soil temperature over the simulation compared with using the default constant C-zil. The exponential water stress formulation proposed here for the Jarvis scheme improves the partitioning between soil evaporation and transpiration. It is found that the surface energy fluxes are very sensitive to SHPs. This study highlights the important role of the proper parameter values and appropriate parameterizations for the surface exchange coefficient and water stress function in canopy resistance in capturing the observed surface energy fluxes and soil temperature variations for this desert steppe site. |
关键词 | Land surface model |
学科领域 | Meteorology & Atmospheric Sciences |
DOI | 10.1175/JHM-D-13-0113.1 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | GREEN VEGETATION FRACTION ; NET PRIMARY PRODUCTIVITY ; DATA ASSIMILATION SYSTEM ; LAND-COVER DATA ; SOIL-MOISTURE ; EDDY-COVARIANCE ; INNER-MONGOLIA ; ETA-MODEL ; FLUX PARAMETERIZATION ; SPATIAL VARIATIONS |
WOS研究方向 | Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000334179500009 |
出版者 | AMER METEOROLOGICAL SOC |
文献子类 | Article |
出版地 | BOSTON |
EISSN | 1525-7541 |
资助机构 | State Key Development Program of Basic Research [2010CB951303] ; Strategic Priority Research Program-Climate Change: Carbon Budget and Related Issues of the Chinese Academy of Sciences [XDA05050408] ; NCAR Water Cycle Across Scale ; BEACHON programs |
作者邮箱 | gszhou@cams.cma.gov.cn |
作品OA属性 | hybrid |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/27265 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 4.Natl Ctr Atmospher Res, Boulder, CO 80307 USA |
推荐引用方式 GB/T 7714 | Zhang, Guo,Zhou, Guangsheng,Chen, Fei,et al. A Trial to Improve Surface Heat Exchange Simulation through Sensitivity Experiments over a Desert Steppe Site[J]. JOURNAL OF HYDROMETEOROLOGY,2014,15(2):664-684. |
APA | Zhang, Guo,Zhou, Guangsheng,Chen, Fei,Barlage, Michael,&Xue, Lulin.(2014).A Trial to Improve Surface Heat Exchange Simulation through Sensitivity Experiments over a Desert Steppe Site.JOURNAL OF HYDROMETEOROLOGY,15(2),664-684. |
MLA | Zhang, Guo,et al."A Trial to Improve Surface Heat Exchange Simulation through Sensitivity Experiments over a Desert Steppe Site".JOURNAL OF HYDROMETEOROLOGY 15.2(2014):664-684. |
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