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
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Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed
Hongyi Li,Maoyi Huang,Mark S. Wigmosta,Yinghai Ke,André M. Coleman,L. Ruby Leung,Aihui Wang,Daniel M. Ricciuto +7 more
TL;DR: In this article, the authors evaluate the performance of Community Land Model 4.0 (CLM4) for hydrologic simulations and explore possible directions of improvement, including increasing spatial resolution of the land surface representations and calibrating model parameters.
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The first Met Office Unified Model-JULES Regional Atmosphere and Land configuration, RAL1
Mike Bush,T. Allen,Caroline L. Bain,Ian A. Boutle,John M. Edwards,Anke Finnenkoetter,Charmaine Franklin,Kirsty Hanley,Humphrey Lean,Adrian Lock,James Manners,Marion Mittermaier,Cyril J. Morcrette,Rachel North,Jon Petch,C. J. Short,Simon Vosper,David N. Walters,Stuart Webster,Mark Weeks,Jonathan M. Wilkinson,Nigel Wood,M. Zerroukat +22 more
TL;DR: In this article, the authors define the first Regional Atmosphere and Land (RAL) science configuration for kilometre-scale modelling using the Unified Model (UM) as the basis for the atmosphere and the Joint UK Land Environment Simulator (JULES) for the land.
An Inter-comparison of Soil Moisture Fields in the North American Land Data Assimilation System (NLDAS)
TL;DR: In this article, the authors compared four land surface models (LSMs) running in NLDAS both in retrospective mode and in real-time mode, and compared the mean statistical properties and the spatial variation of these soil moisture fields along with their temporal change.
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Use of radar and optical remotely sensed data for soil moisture retrieval over vegetated areas
TL;DR: The retrieval was obtained by using a Bayesian approach, where the key point is the evaluation of probability density functions (pdfs) based on the knowledge of soil parameter measurements and of the corresponding remotely sensing data to determine a useful parameterization of vegetation backscattering effects through suitable pdfs to be later used in the inversion algorithm.
References
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Journal ArticleDOI
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