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• W2035305853 startingPage "2463" @default.
• W2035305853 abstract "Abstract. Watershed-scale hydrological and biogeochemical models are usually discretized at resolutions coarser than where significant heterogeneities in topography, abiotic factors (e.g., soil properties), and biotic (e.g., vegetation) factors exist. Here we report on a method to use fine-scale (220 m grid cells) hydrological model predictions to build reduced-order models of the statistical properties of near-surface soil moisture at coarse resolution (25 times coarser, ~7 km). We applied a watershed-scale hydrological model (PAWS-CLM4) that has been previously tested in several watersheds. Using these simulations, we developed simple, relatively accurate (R2 ~0.7–0.8), reduced-order models for the relationship between mean and higher-order moments of near-surface soil moisture during the nonfrozen periods over five years. When applied to transient predictions, soil moisture variance and skewness were relatively accurately predicted (R2 0.7–0.8), while the kurtosis was less accurately predicted (R2 ~0.5). We also tested 16 system attributes hypothesized to explain the negative relationship between soil moisture mean and variance toward the wetter end of the distribution and found that, in the model, 59% of the variance of this relationship can be explained by the elevation gradient convolved with mean evapotranspiration. We did not find significant relationships between the time rate of change of soil moisture variance and covariances between mean moisture and evapotranspiration, drainage, or soil properties, as has been reported in other modeling studies. As seen in previous observational studies, the predicted soil moisture skewness was predominantly positive and negative in drier and wetter regions, respectively. In individual coarse-resolution grid cells, the transition between positive and negative skewness occurred at a mean soil moisture of ~0.25–0.3. The type of numerical modeling experiments presented here can improve understanding of the causes of soil moisture heterogeneity across scales, and inform the types of observations required to more accurately represent what is often unresolved spatial heterogeneity in regional and global hydrological models." @default.
• W2035305853 created "2016-06-24" @default.
• W2035305853 creator A5053256498 @default.
• W2035305853 creator A5067105881 @default.
• W2035305853 date "2014-07-03" @default.
• W2035305853 modified "2023-10-01" @default.
• W2035305853 title "Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations" @default.
• W2035305853 cites W1484907367 @default.
• W2035305853 cites W1503195341 @default.
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• W2035305853 cites W1508635819 @default.
• W2035305853 cites W1512879779 @default.
• W2035305853 cites W1564860500 @default.
• W2035305853 cites W1587972913 @default.
• W2035305853 cites W1590842745 @default.
• W2035305853 cites W1598295895 @default.
• W2035305853 cites W1606086905 @default.
• W2035305853 cites W1625396516 @default.
• W2035305853 cites W1664897603 @default.
• W2035305853 cites W1673338299 @default.
• W2035305853 cites W1677043309 @default.
• W2035305853 cites W1693142019 @default.
• W2035305853 cites W1802734833 @default.
• W2035305853 cites W1890771017 @default.
• W2035305853 cites W1964785899 @default.
• W2035305853 cites W1969756501 @default.
• W2035305853 cites W1971927512 @default.
• W2035305853 cites W1975855676 @default.
• W2035305853 cites W1978860951 @default.
• W2035305853 cites W1987169966 @default.
• W2035305853 cites W1990706381 @default.
• W2035305853 cites W1990920554 @default.
• W2035305853 cites W1992734400 @default.
• W2035305853 cites W1992789834 @default.
• W2035305853 cites W1994163251 @default.
• W2035305853 cites W1996595352 @default.
• W2035305853 cites W1998011195 @default.
• W2035305853 cites W1998533031 @default.
• W2035305853 cites W1999409689 @default.
• W2035305853 cites W2000220771 @default.
• W2035305853 cites W2003207448 @default.
• W2035305853 cites W2008678369 @default.
• W2035305853 cites W2009766566 @default.
• W2035305853 cites W2009896556 @default.
• W2035305853 cites W2010729915 @default.
• W2035305853 cites W2015032635 @default.
• W2035305853 cites W2018174593 @default.
• W2035305853 cites W2026020073 @default.
• W2035305853 cites W2029587925 @default.
• W2035305853 cites W2032334476 @default.
• W2035305853 cites W2034325912 @default.
• W2035305853 cites W2036552938 @default.
• W2035305853 cites W2038184996 @default.
• W2035305853 cites W2042058583 @default.
• W2035305853 cites W2045944858 @default.
• W2035305853 cites W2047864282 @default.
• W2035305853 cites W2049047544 @default.
• W2035305853 cites W2049865518 @default.
• W2035305853 cites W2052190449 @default.
• W2035305853 cites W2052298702 @default.
• W2035305853 cites W2052766960 @default.
• W2035305853 cites W2053669534 @default.
• W2035305853 cites W2058602041 @default.
• W2035305853 cites W2066104962 @default.
• W2035305853 cites W2067825923 @default.
• W2035305853 cites W2069986840 @default.
• W2035305853 cites W2071839294 @default.
• W2035305853 cites W2079990215 @default.
• W2035305853 cites W2083441884 @default.
• W2035305853 cites W2083605635 @default.
• W2035305853 cites W2086953577 @default.
• W2035305853 cites W2103255855 @default.
• W2035305853 cites W2112804044 @default.
• W2035305853 cites W2118883679 @default.
• W2035305853 cites W2127802985 @default.
• W2035305853 cites W2130393253 @default.
• W2035305853 cites W2130746770 @default.
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• W2035305853 cites W2149002452 @default.
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• W2035305853 doi "https://doi.org/10.5194/hess-18-2463-2014" @default.
• W2035305853 hasPublicationYear "2014" @default.
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