TY - JOUR
T1 - Evaluating climate and soil effects on regional soil moisture spatial variability using EOFs
AU - Wang, Tiejun
AU - Franz, Trenton E.
AU - Li, Ruopu
AU - You, Jinsheng
AU - Shulski, Martha D.
AU - Ray, Chittaranjan
N1 - Funding Information:
The authors would like to thank the High Plains Regional Climate Center (data can be accessed at http://www.hprcc.unl.edu/awdn/) and the International Soil Moisture Network (data can be accessed at https://ismn.geo.tuwien.ac.at/ismn/) for providing soil moisture and meteorological data used in this study. The authors also thank the Associate Editor and two anonymous reviewers for their constructive comments that significantly improved the readability of the paper. T. Wang was partially supported by the National Natural Scientific Foundation of China (U1612441) and acknowledges the partial financial support from the Tianjin University for this work. T.E. Franz acknowledges the partial financial support of the Daugherty Water for Food Global Institute for this study and the USDA National Institute of Food and Agriculture, Hatch project 1009760 for this study.
Publisher Copyright:
© 2017. American Geophysical Union. All Rights Reserved.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - 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.
AB - 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.
KW - AWDN
KW - Empirical Orthogonal Function
KW - SCAN
KW - regional scale
KW - soil moisture
KW - spatial pattern
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U2 - 10.1002/2017WR020642
DO - 10.1002/2017WR020642
M3 - Article
AN - SCOPUS:85019948285
SN - 0043-1397
VL - 53
SP - 4022
EP - 4035
JO - Water Resources Research
JF - Water Resources Research
IS - 5
ER -