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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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Environmental and social factors influencing wildfires in the upper midwest, united states

TL;DR: In this article, the authors investigated the role played by abiotic, biotic, and human factors in determining the spatial patterns of their origins across the Upper Midwest, a 2.8 X 105 km2 area in the northern, largely forested parts of the states of Minnesota, Wisconsin, and Michigan.
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Description and Evaluation of the Characteristics of the NCAR High-Resolution Land Data Assimilation System

TL;DR: In this article, an uncoupled high-resolution land data assimilation system (HRLDAS) was developed at the National Center for Atmospheric Research (NCAR) to initialize land-state variables of the coupled Weather Research and Forecasting (WRF)-land surface model (LSM) for high resolution applications.
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No-till management impacts on crop productivity, carbon input and soil carbon sequestration

TL;DR: In this article, a meta-analysis of 74 published studies was conducted to determine if crop production varies between no-till and full tillage management, and the results were used to estimate the change in crop productivity and subsequent C input to soils.
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Hydrology laboratory research modeling system (HL-RMS) of the US national weather service

TL;DR: This study investigates an approach that combines physically-based and conceptual model features in two stages of distributed modeling: model structure development and estimation of spatially variable parameters, and facilitates an easier transition from current lumped model-based operational systems to more powerful distributed systems.
Journal ArticleDOI

Impacts of land-use change on hydrologic responses in the Great Lakes region.

TL;DR: In this paper, the hydrologic impacts of land-use change due to settlement on the water balance of three Great Lakes states: Minnesota, Wisconsin and Michigan were analyzed using the Variable Infiltration Capacity (VIC) large-scale hydrology model, and changes in the spatial distribution of vegetation types were studied.
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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