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SGP97 ARM Parameters for Soil Water Retention Models Data Set

NAL Geospatial Catalog
    The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Parameters for Soil Water Retention Models Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains one table for each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site containing the fitted values of the parameters in the van Genuchten and Brooks-Corey equations for relating soil water pressure to volumetric water content. The soil characterizations were perfomed by Oklahoma State University.

    Data from: Environmental footprints of beef cattle production in the United States

      To quantify important environmental impacts of beef cattle production in the United States, surveys and visits of farms, ranches and feedlots were conducted throughout seven regions (Northeast, Southeast, Midwest, Northern Plains, Southern Plains, Northwest and Southwest). Life cycle environmental impacts of U.S. beef cattle production were determined. Annual carbon emission was 243 ± 26 Tg CO2e (21.3 ± 2.3 kg CO2e/kg carcass weight). Annual fossil energy use was 569 ± 53 PJ (50.0 ± 4.7 MJ/kg carcass weight). Blue water consumption was 23.2 ± 3.5 TL (2034 ± 309 L/kg carcass weight). Reactive nitrogen loss was 1760 ± 136 Gg N (155 ± 12 g N/kg carcass weight).

      Vegetation, rainfall simulation, and overland flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the SageSTEP hydrology study

        Simulated rainfall and overland-flow experiments are useful for enhancing understanding of surface hydrologic and erosion processes, quantifying runoff and erosion rates, and developing and testing predictive quantitative models. This extensive dataset consists of rainfall simulation and overland flow experimental plot data coupled with associated measures of vegetation, ground cover, and surface soil properties across point to hillslope scales. Data were collected at three woodland-encroached sagebrush (*Artemisia* spp.) rangelands in the Great Basin, USA, under undisturbed/untreated conditions and 1 yr to 9 yr following fire and/or mechanical tree-removal treatments.

        Virtual Grower 3

          Initially designed to help greenhouse growers determine heating costs and do simple simulations to figure out where heat savings could be achieved, it has slowly added features so that now, Virtual Grower can help not only identify those savings through different greenhouse designs, but predict crop growth, assist in scheduling, make real-time predictions of energy use, and see the impact of supplemental lighting on plant growth and development. In other words, the software can be a safety net and allow users to experiment with "what if" scenarios in a risk-free setting.


            The California Landfill Methane Inventory Model is a 1-dimensional soil gas transport and oxidation model that calculates annual landfill methane emissions based on the cover soil characteristics and annual climatic data for a given global location.