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DOI10.1002/2017WR020642
Evaluating climate and soil effects on regional soil moisture spatial variability using EOFs
Wang, Tiejun1,2; Franz, Trenton E.2; Li, Ruopu3; You, Jinsheng2; Shulski, Martha D.2; Ray, Chittaranjan4
2017-05-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2017
卷号53期号:5
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Soil moisture is an important state variable in terrestrial water cycles; however, only few studies are available on regional soil moisture spatial variability (SMSV), which yielded inconsistent findings about regional controls on SMSV. Here, long-term soil moisture data were obtained from the Automated Weather Data Network and Soil Climate Analysis Network in three regions with different climate regimes across the continental U.S. Comprehensive data sets were compiled to examine regional controls on SMSV using the method of Empirical Orthogonal Function. One dominant spatial structure (EOF1) of soil moisture was found in the study regions, which explained over 75%, 67%, and 86% of the spatial variance in soil moisture in Nebraska, Utah, and the Southeast U.S., respectively. Despite the significant spatial variability in precipitation and potential evapotranspiration in all the study regions, the results showed that meteorological forcings had limited effects on regional SMSV in those regions with different climatic conditions, which differed from the traditional notion that SMSV is mainly controlled by meteorological forcings at the scale from 50 to 400 km. Instead, local factors related to soil (e.g., sand and clay fractions) were found to have significant correlations with EOF1, although the effects of other local factors (e.g., topography and vegetation) were generally negligible. This study provides strong field evidence that soil can exert much stronger impacts on regional SMSV than previously thought, which can override the effects of meteorological forcings. Future studies are still needed to elaborate on the relative roles of climate and soil in affecting regional SMSV.


英文关键词soil moisture Empirical Orthogonal Function spatial pattern regional scale AWDN SCAN
领域资源环境
收录类别SCI-E
WOS记录号WOS:000403712100030
WOS关键词EMPIRICAL ORTHOGONAL FUNCTIONS ; TEMPORAL STABILITY ; LARGE-SCALE ; PATTERNS ; CATCHMENT ; SIMULATIONS ; LANDSCAPES ; DYNAMICS ; RECHARGE ; RUNOFF
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/21313
专题资源环境科学
作者单位1.Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin, Peoples R China;
2.Univ Nebraska Lincoln, Sch Nat Resources, Lincoln, NE 68588 USA;
3.Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL USA;
4.Univ Nebraska Lincoln, Nebraska Water Ctr, Lincoln, NE USA
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GB/T 7714
Wang, Tiejun,Franz, Trenton E.,Li, Ruopu,et al. Evaluating climate and soil effects on regional soil moisture spatial variability using EOFs[J]. WATER RESOURCES RESEARCH,2017,53(5).
APA Wang, Tiejun,Franz, Trenton E.,Li, Ruopu,You, Jinsheng,Shulski, Martha D.,&Ray, Chittaranjan.(2017).Evaluating climate and soil effects on regional soil moisture spatial variability using EOFs.WATER RESOURCES RESEARCH,53(5).
MLA Wang, Tiejun,et al."Evaluating climate and soil effects on regional soil moisture spatial variability using EOFs".WATER RESOURCES RESEARCH 53.5(2017).
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