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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Evaluation of soil state representation in the NCAR ensemble analysis system
TL;DR: In this article, the authors evaluated soil moisture and temperature estimates and spread characteristics from a real-time, limited-area, continuously-cycling ensemble Kalman filter (EnKF) data assimilation (DA) system run at the National Center for Atmospheric Research (NCAR) for 2.7 years over the conterminous United States (CONUS).
Towards a Kalman Filter based land surface data assimilation scheme for ACCESS
TL;DR: To the extent permitted by law, CSIRO and the Bureau of Meteorology excludes all liability to any person for any consequences, including but not limited to all losses, damages, costs, expenses and any other compensation, arising directly or indirectly from using this publication and any information or material contained in it.
Journal ArticleDOI
Sediment and Phosphorus Inputs from Perennial Streams To Lake Whatcom, Washington State
TL;DR: In this paper, the results of high-resolution storm event sediment and phosphorous sampling in five streams were used to examine the effects of varying watershed features on loading and to develop sediment-discharge and phosphorus discharge models to estimate phosphorus loading to the lake during the 2013 water year.
Journal ArticleDOI
Development of a Distributed Hydrologic Model for a Region with Fragipan Soils to Study Impacts of Climate on Soil Moisture: A Case Study on the Obion River Watershed in West Tennessee
Seyed Mohammad Ghaneeizad,Athanasios N. Papanicolaou,Benjamin Abban,Christopher G. Wilson,Christos P. Giannopoulos,Dayton M. Lambert,Forbes Walker,Shawn A. Hawkins +7 more
TL;DR: In this paper, a physically-based approach for calibrating fragipan-dominated regions based on the effective soil moisture capacity concept is presented, which accounts for the dynamic perched saturation zone effects created by the low hydraulic capacities of the fragiman layers.
Journal ArticleDOI
Using hydrologic landscape classification and climatic time series to assess hydrologic vulnerability of the western U.S. to climate
Chas E. Jones Jr.,Scott G. Leibowitz,K. A. Sawicz,Randy L. Comeleo,Laurel E. Stratton,Philip E. Morefield,Christopher P. Weaver +6 more
Abstract: . We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. This allows stakeholders and/or water resource managers to understand the potential impacts of future conditions. In this paper, we present example assessments of hydrologic vulnerability of specific geographic locations (Sonoma Valley, Willamette Valley, and Mount Hood) that are important to the ski and wine industries to illustrate how our approach might be used by specific stakeholders. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources.
References
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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.
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Journal ArticleDOI
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Journal ArticleDOI
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