A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling
D. A. Miller,R. A. White +1 more
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In this paper, the authors developed a multilayer soil characteristics dataset for the conterminous United States (CONUS-SOIL) that specifically addresses the need for soil physical and hydraulic property information over large areas.Abstract:
Soil information is now widely required by many climate and hydrology models and soil-vegetation-atmosphere transfer schemes. This pa- per describes the development of a multilayer soil characteristics dataset for the conterminous United States (CONUS-SOIL) that specifically addresses the need for soil physical and hydraulic property information over large areas. The State Soil Geographic Database (STATSGO) developed by the U.S. De- partment of Agriculture-Natural Resources Conservation Service served as the starting point for CONUS-SOIL. Geographic information system and Perl computer programming language tools were used to create map coverages of soil properties including soil texture and rock fragment classes, depth-to-bed- rock, bulk density, porosity, rock fragment volume, particle-size (sand, silt, and clay) fractions, available water capacity, and hydrologic soil group. In- terpolation procedures for the continuous and categorical variables describing these soil properties were developed and applied to the original STATSGO data. In addition to any interpolation errors, the CONUS-SOIL dataset reflects the limitations of the procedures used to generate detailed county-level soilread more
Citations
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Evaluation of NARR and CLM3.5 outputs for surface water and energy budgets in the Mississippi River Basin
Sanjiv Kumar,Venkatesh Merwade +1 more
TL;DR: In this paper, the North American Regional Reanalysis (NARR) and Community Land Model (CLM, version 35) outputs are analyzed to characterize the surface water and energy budgets in the Mississippi River Basin (MRB) by analyzing the spatial variability in long-term monthly precipitation and temperature observations from 71 United States Historical Climatology Network stations in Indiana and Illinois.
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Do Lateral Flows Matter for the Hyperresolution Land Surface Modeling
TL;DR: In this article, a Conjunctive Surface-Subsurface Process (CSSP) model is proposed to analyze the effects of lateral flows across scales, which considers soil moisture-surface flow interaction and quasi-three-dimensional subsurface flow, is implemented over a mountainous HyperHydro testbed in southwestern USA at different resolutions.
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Model‐based analysis of the influence of catchment properties on hydrologic partitioning across five mountain headwater subcatchments
TL;DR: A physically based watershed model is investigated to represent controls on metrics of hydrologic partitioning across five adjacent headwater subcatchments and can be employed to identify dominant modeled controls on catchment response and their agreement with system understanding.
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Land-surface controls on near-surface soil moisture dynamics: Traversing remote sensing footprints
N. Gaur,Binayak P. Mohanty +1 more
TL;DR: In this paper, the authors investigated the impact of land-surface based heterogeneity on soil moisture dynamics at remote sensing scales and determined the contribution of these biophysical factors to redistribution of near-surface soil moisture across a range of remote sensing scale varying from an (airborne) remote sensor footprint (1.6 km) to a (satellite) footprint scale (25.6km).
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Covariate selection with iterative principal component analysis for predicting physical soil properties
Matthew R. Levi,Craig Rasmussen +1 more
TL;DR: In this article, an iterative principal component analysis (iPCA) data reduction routine of reflectance and elevation covariate layers was combined with a conditioned Latin Hypercube field sample design to effectively capture the variability of soil properties across the 6250 ha study area.
References
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van Genuchten,M. Th. +1 more
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Journal ArticleDOI
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