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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Journal ArticleDOI
Towards seamless large-domain parameter estimation for hydrologic models
Naoki Mizukami,Martyn P. Clark,Andrew J. Newman,Andrew W. Wood,Ethan Gutmann,Bart Nijssen,Oldrich Rakovec,Luis Samaniego +7 more
TL;DR: This paper provides an initial assessment of a multi-scale parameter regionalization (MPR) method over large geographical domains to derive seamless parameters in a spatially consistent manner and shows that the CONUS-wide calibration has similar performance compared to previous simulations using a patchwork quilt of partially calibrated parameter sets.
Journal ArticleDOI
Simulating the river-basin response to atmospheric forcing by linking a mesoscale meteorological model and hydrologic model system
Zhongbo Yu,M. N. Lakhtakia,Brent Yarnal,R. A. White,D. A. Miller,Brent J. Frakes,Eric J. Barron,Christopher J. Duffy,Franklin W. Schwartz +8 more
TL;DR: In this article, the authors test the ability of a distributed meteorological/hydrologic model to simulate the hydrologic response to three single-storm events passing over the Upper West Branch of the Susquehanna River Basin.
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Spatial prediction based on Third Law of Geography
TL;DR: The prediction uncertainty associated with spatial prediction based on the Third Law of Geography is more indicative to quality of the prediction, thus more effective in allocating error reduction efforts.
Journal ArticleDOI
Satellite remote sensing of soil moisture in Illinois, United States
Konstantin Y. Vinnikov,Alan Robock,Shuang Qiu,Jared Entin,Manfred Owe,Bhaskar J. Choudhury,Steven E. Hollinger,Eni G. Njoku +7 more
TL;DR: In this article, the utility of using satellite passive microwave observations to measure soil moisture over large regions was examined using the scanning multichannel microwave radiometer (SMMR) on Nimbus-7, which operated from 1978 to 1987, and actual in situ soil moisture observations from the state of Illinois, United States, which began in 1981.
References
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Journal ArticleDOI
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