Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021277 |
Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain | |
Gruber, A.1,2; Crow, W. T.3; Dorigo, W. A.2 | |
2018-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:2页码:1353-1367 |
文章类型 | Article |
语种 | 英语 |
国家 | Belgium; Austria; USA |
英文摘要 | Growth in the availability of near-real-time soil moisture observations from ground-based networks has spurred interest in the assimilation of these observations into land surface models via a two-dimensional data assimilation system. However, the design of such systems is currently hampered by our ignorance concerning the spatial structure of error afflicting ground and model-based soil moisture estimates. Here we apply newly developed triple collocation techniques to provide the spatial error information required to fully parameterize a two-dimensional (2-D) data assimilation system designed to assimilate spatially sparse observations acquired from existing ground-based soil moisture networks into a spatially continuous Antecedent Precipitation Index (API) model for operational agricultural drought monitoring. Over the contiguous United States (CONUS), the posterior uncertainty of surface soil moisture estimates associated with this 2-D system is compared to that obtained from the 1-D assimilation of remote sensing retrievals to assess the value of ground-based observations to constrain a surface soil moisture analysis. Results demonstrate that a fourfold increase in existing CONUS ground station density is needed for ground network observations to provide a level of skill comparable to that provided by existing satellite-based surface soil moisture retrievals. |
英文关键词 | soil moisture data assimilation triple collocation |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000428474500038 |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21045 |
专题 | 资源环境科学 |
作者单位 | 1.Katholieke Univ Leuven, Dept Earth & Environm Sci, Heverlee, Belgium; 2.TU Wien, Dept Geodesy & Geoinformat, Vienna, Austria; 3.USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA |
推荐引用方式 GB/T 7714 | Gruber, A.,Crow, W. T.,Dorigo, W. A.. Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain[J]. WATER RESOURCES RESEARCH,2018,54(2):1353-1367. |
APA | Gruber, A.,Crow, W. T.,&Dorigo, W. A..(2018).Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain.WATER RESOURCES RESEARCH,54(2),1353-1367. |
MLA | Gruber, A.,et al."Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain".WATER RESOURCES RESEARCH 54.2(2018):1353-1367. |
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