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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

Adapting a dynamic vegetation model for regional biomass, plant biogeography, and fire modeling in the Greater Yellowstone Ecosystem: Evaluating LPJ-GUESS-LMfireCF

TL;DR: In this article, a dynamic vegetation model was adapted for regional applications to the western forests of the U.S. to simulate stand-replacing crown fires (CF), and the LMfireCF fire module calculates surface fire and canopy characteristics to determine if critical conditions are met for crown fire initiation and spread.
Journal ArticleDOI

Time invariant boundary data of regional climate models COSMO‐CLM and WRF and their application in COSMO‐CLM

TL;DR: In this paper, a comparison of the four available data sets and the investigation of their influences on actual CCLM simulations is presented. But the focus is on the comparison of different time invariant boundary parameters, such as topography, land use, soil texture, and derived vegetation and soil properties as defined in the regional climate models Consortium for Small-scale Modeling in Climate Mode (CCLM), and the Weather Research and Forecasting Model (WRF).
Journal ArticleDOI

Patterns of Forest Phylogenetic Community Structure across the United States and Their Possible Forest Health Implications

TL;DR: The analysis of phylogenetic relationships among co-occurring tree species offers insights into the ecological organization of forest communities from an evolutionary perspective and, when employed regionally across thousands of plots, can assist in forest health assessment as mentioned in this paper.
Journal ArticleDOI

A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates.

TL;DR: E-SMAP (Evaporation-Soil Moisture Active Passive) is independent from existing soil evaporation estimates and therefore has the potential to improve understanding of evapotranspiration partitioning and model development.
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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