Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1029/2017WR022236 |
On the Sensitivity of the Precipitation Partitioning Into Evapotranspiration and Runoff in Land Surface Parameterizations | |
Zheng, Hui1; Yang, Zong-Liang1,2; Lin, Peirong2; Wei, Jiangfeng3; Wu, Wen-Ying2; Li, Lingcheng2; Zhao, Long4; Wang, Shu5 | |
通讯作者 | Yang, Zong-Liang |
来源期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:1页码:95-111 |
英文摘要 | The precipitation partitioning between evapotranspiration (ET) and runoff (R) at the land surface is controlled by atmospheric boundary layer and terrestrial hydrological processes. These processes in land surface models are manifested primarily as stomatal conductance, soil moisture limitation factor to transpiration (-factor), turbulence, and runoff generation. What are the sensitivities of precipitation partitioning to the parameterizations of these processes? To address this overarching question, the annual and seasonal means of ET and R over the conterminous United States were simulated using 48 configurations of the Noah land surface model with multiparameterization options (Noah-MP). The Sobol' total sensitive index was used to quantify the sensitivity of ET and R to the parameterizations of the four processes mentioned above. Results show that the sensitivities of the annual means depend on climatic conditions and the interplay between ET and R plays an important role. In humid regions, precipitation is mostly partitioned into R, whereas the simulations can be more sensitive to ET's parameterizations. In arid regions, ET accounts for the major partition, whereas the simulations can be more sensitive to the runoff parameterization. Seasonal means exhibit different sensitivities from the annual means. The seasonal mean ET is more sensitive to ET's parameterizations, and R is more sensitive to the runoff parameterization. The -factor, which is neglectable for the annual means, is important for summer-time ET. Mediated by the terrestrial water storage memories, ET interplays R across seasons. The winter-time R is still sensitive to the stomatal conductance that only modulates growing-season ET. |
英文关键词 | evapotranspiration runoff parameterization sensitivity Noah-MP |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; USA |
开放获取类型 | hybrid |
收录类别 | SCI-E |
WOS记录号 | WOS:000459536500006 |
WOS关键词 | BASIN-SCALE ASSESSMENT ; SOIL-MOISTURE ; STOMATAL CONDUCTANCE ; GLOBAL SENSITIVITY ; NATIONAL CENTERS ; MODELING SYSTEM ; WATER ; SCHEMES ; TRANSPIRATION ; FLUXNET |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
来源机构 | 中国科学院大气物理研究所 ; 南京信息工程大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/219285 |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, CAS Key Lab Reg Climate Environm Res Temperate Ea, Beijing, Peoples R China; 2.Univ Texas Austin, Dept Geol Sci, John A & Katherine G Jackson Sch Geosci, Austin, TX 78712 USA; 3.Nanjing Univ Informat Sci & Technol, Int Joint Res Lab Climate & Environm Change, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Meteorol Disaster,Minist Educ, Nanjing, Jiangsu, Peoples R China; 4.Southwest Univ, Sch Geog Sci, Chongqing, Peoples R China; 5.China Elect Power Res Inst, State Key Lab Operat & Control Renewable Energy &, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zheng, Hui,Yang, Zong-Liang,Lin, Peirong,et al. On the Sensitivity of the Precipitation Partitioning Into Evapotranspiration and Runoff in Land Surface Parameterizations[J]. 中国科学院大气物理研究所, 南京信息工程大学,2019,55(1):95-111. |
APA | Zheng, Hui.,Yang, Zong-Liang.,Lin, Peirong.,Wei, Jiangfeng.,Wu, Wen-Ying.,...&Wang, Shu.(2019).On the Sensitivity of the Precipitation Partitioning Into Evapotranspiration and Runoff in Land Surface Parameterizations.WATER RESOURCES RESEARCH,55(1),95-111. |
MLA | Zheng, Hui,et al."On the Sensitivity of the Precipitation Partitioning Into Evapotranspiration and Runoff in Land Surface Parameterizations".WATER RESOURCES RESEARCH 55.1(2019):95-111. |
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