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Open AccessJournal ArticleDOI

A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling

D. A. Miller, +1 more
- 01 Jan 1998 - 
- Vol. 2, Iss: 2, pp 1-26
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TLDR
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 soil

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Citations
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Journal ArticleDOI

Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation

TL;DR: In this article, the sensitivity of the Noah land surface model with multiple parameterization options (Noah-MP) to vegetation carbon assimilation and soil carbon decomposition processes is investigated.
Journal ArticleDOI

Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite

TL;DR: In this article, a combined constrained multi-channel algorithm (C-CMCA) is presented for simultaneous retrieval of soil moisture (SM) and vegetation optical depth (VOD) in L-band with improved resolution.
Journal ArticleDOI

Assessment of the Met Office dust forecast model using observations from the GERBILS campaign

TL;DR: The authors used aircraft, ground-based and satellite observations to assess the performance of Met Office dust forecasts during the Geostationary Earth Radiation Budget Intercomparison of Long-wave and Short-wave radiation (GERBILS) campaign.
Journal ArticleDOI

A Subbasin-based framework to represent land surface processes in an Earth System Model

TL;DR: In this article, a subbasin-based framework is introduced in the Community Land Model (CLM), which is the land component of the Community Earth System Model (CESM). Local processes are represented in each sub-basin on a pseudo-grid matrix with no significant modifications to the existing CLM modeling structure.
References
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Journal ArticleDOI

A closed-form equation for predicting the hydraulic conductivity of unsaturated soils

TL;DR: Van Genuchten et al. as mentioned in this paper proposed a closed-form analytical expression for predicting the hydraulic conductivity of unsaturated soils based on the Mualem theory, which can be used to predict the unsaturated hydraulic flow and mass transport in unsaturated zone.
Journal ArticleDOI

Empirical equations for some soil hydraulic properties

TL;DR: In this paper, a power function relating soil moisture and hydraulic conductivity is used to derive a formula for the wetting front suction required by the Green-Ampt equation.
Journal ArticleDOI

Estimating generalized soil-water characteristics from texture

TL;DR: In this article, the results from the recent statistical analyses were used to calculate water potentials for a wide range of soil textures, then these were fit by multivariate analyses to provide continuous potential estimates for all inclusive textures.
Journal ArticleDOI

A simple method for determining unsaturated conductivity from moisture retention data

Gaylon S. Campbell
- 01 Jun 1974 - 
TL;DR: In this article, the unsaturated hydraulic conductivity function for soil can be calculated directly from a moisture retention function and a single measurement of hydraulic conductivities at some water content, and agreement of k calculated using this procedure with experimentally determined conductivities for five soil samples was found to be at least as good as with other calculation procedures.
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