Improving snow process modeling with satellite-based estimation of near-surface-air-temperature lapse rate
文献类型：期刊论文
| 作者 | Wang, Lei1,2,3; Sun, Litao1,3; Shrestha, Maheswor4; Li, Xiuping1; Liu, Wenbin5; Zhou, Jing1; Yang, Kun1,2; Lu, Hui6,7; Chen, Deliang8 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2016-10-27 |
| 卷号 | 121期号:20页码:12005-12030 |
| ISSN号 | 2169-897X |
| 关键词 | lapse rate distributed hydrological model water and energy cycle snow process MODIS land surface temperature |
| DOI | 10.1002/2016JD025506 |
| 通讯作者 | Wang, Lei(wanglei@itpcas.ac.cn) |
| 英文摘要 | In distributed hydrological modeling, surface air temperature (T-air) is of great importance in simulating cold region processes, while the near-surface-air-temperature lapse rate (NLR) is crucial to prepare T-air (when interpolating T-air from site observations to model grids). In this study, a distributed biosphere hydrological model with improved snow physics (WEB-DHM-S) was rigorously evaluated in a typical cold, large river basin (e.g., the upper Yellow River basin), given a mean monthly NLRs. Based on the validated model, we have examined the influence of the NLR on the simulated snow processes and streamflows. We found that the NLR has a large effect on the simulated streamflows, with a maximum difference of greater than 24% among the various scenarios for NLRs considered. To supplement the insufficient number of monitoring sites for near-surface-air-temperature at developing/undeveloped mountain regions, the nighttime Moderate Resolution Imaging Spectroradiometer land surface temperature is used as an alternative to derive the approximate NLR at a finer spatial scale (e.g., at different elevation bands, different land covers, different aspects, and different snow conditions). Using satellite-based estimation of NLR, the modeling of snow processes has been greatly refined. Results show that both the determination of rainfall/snowfall and the snowpack process were significantly improved, contributing to a reduced summer evapotranspiration and thus an improved streamflow simulation. |
| WOS关键词 | DISTRIBUTED HYDROLOGICAL MODEL ; UPPER TONE RIVER ; PARAMETERIZATION SIB2 ; ATMOSPHERIC GCMS ; UNITED-STATES ; RUNOFF ; CHINA ; PRODUCTS ; BASIN ; VALIDATION |
| 资助项目 | National Key Basic Research Program of China[2013CBA01800] ; National Natural Science Foundation of China[41322001] ; National Natural Science Foundation of China[41190083] ; National Natural Science Foundation of China[41571033] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB03030302] ; Key Technologies R&D Program of China[2013BAB05B03] ; Hundred Talents Program of Chinese Academy of Sciences ; Top-Notch Young Talents Program of China ; Swedish VR ; BECC ; MERGE |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | AMER GEOPHYSICAL UNION |
| WOS记录号 | WOS:000388293100014 |
| 资助机构 | National Key Basic Research Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Technologies R&D Program of China ; Hundred Talents Program of Chinese Academy of Sciences ; Top-Notch Young Talents Program of China ; Swedish VR ; BECC ; MERGE |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/65540]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Lei |
| 作者单位 | 1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China 2.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R China 4.Water & Energy Commiss Secretariat, Kathmandu, Nepal 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 6.Tsinghua Univ, Ctr Earth Syst Sci, Beijing, Peoples R China 7.Minist Educ, Key Lab Numer Simulat Earth Syst, Beijing, Peoples R China 8.Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden |
| 推荐引用方式 GB/T 7714 | Wang, Lei,Sun, Litao,Shrestha, Maheswor,et al. Improving snow process modeling with satellite-based estimation of near-surface-air-temperature lapse rate[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(20):12005-12030. |
| APA | Wang, Lei.,Sun, Litao.,Shrestha, Maheswor.,Li, Xiuping.,Liu, Wenbin.,...&Chen, Deliang.(2016).Improving snow process modeling with satellite-based estimation of near-surface-air-temperature lapse rate.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(20),12005-12030. |
| MLA | Wang, Lei,et al."Improving snow process modeling with satellite-based estimation of near-surface-air-temperature lapse rate".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.20(2016):12005-12030. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。