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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The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism
Martyn P. Clark,Marc F. P. Bierkens,Luis Samaniego,Ross Woods,Remko Uijlenhoet,Katrina E. Bennett,Valentijn R. N. Pauwels,Xitian Cai,Andrew W. Wood,Christa D. Peters-Lidard +9 more
TL;DR: The diversity in hydrologic models has historically led to great controversy on the "correct" approach to process-based hydrology modeling, with debates centered on the adequacy of process parameterizations, data limitations and uncertainty, and computational constraints on model analysis as discussed by the authors.
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High-performance Earth system modeling with NASA/GSFC’s Land Information System
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TL;DR: The Land Information System software (LIS) has been developed to support high-performance land surface modeling and data assimilation, and establishes a framework for easy interchange of subcomponents, such as land surface physics, input/output conventions, and data Assimilation routines.
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Sensitivity of grassland productivity to aridity controlled by stomatal and xylem regulation
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Conterminous U.S. and Alaska Forest Type Mapping Using Forest Inventory and Analysis Data
Bonnie Ruefenacht,Mark Finco,Mark D. Nelson,Raymond L. Czaplewski,Eileen H. Helmer,J. A. Blackard,G. R. Holden,A. J. Lister,D. Salajanu,D. Weyermann,K. Winterberger +10 more
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Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling
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References
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