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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

Informing Hydrometric Network Design for Statistical Seasonal Streamflow Forecasts

TL;DR: In this article, a hydrometric network design approach is developed for enhancing statistical seasonal streamflow forecasts, which employs gridded, model-simulated water balance variables as predictors in equations generated via principal components regression.
Journal ArticleDOI

Revisiting historical beech and oak forests in Indiana using a GIS method to recover information from bar charts.

TL;DR: Using a unique method, historical tree survey information stored in bar chart figures of a 1956 publication is recovered and it is determined that historically in Indiana, oaks were 27% of all trees, beech was 25%, hickories and sugar maple were 7% each, and ash was 4.5%.
Dissertation

Estimation of land surface water and energy balance flux components and closure relation using conditional sampling

Leila Farhadi
TL;DR: In this article, a new approach to the estimation of key unknown parameters of water and energy balance equation and their closure relationship is introduced, which is based on averaging of heat and moisture diffusion equations conditioned on land surface temperature and moisture states respectively.
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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