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Automated Water Supply Model (AWSM)

    Automated Water Supply Model (AWSM) was developed at the USDA Agricultural Research Service in Boise, ID, to streamline the workflow used to forecast the water supply of multiple water basins.

    Spatial Modeling for Resources Framework (SMRF)

      Spatial Modeling for Resources Framework (SMRF) was developed at the USDA Agricultural Research Service (ARS) in Boise, ID, and was designed to increase the flexibility of taking measured weather data and distributing the point measurements across a watershed.

      Data from: Agro-environmental consequences of shifting from nitrogen- to phosphorus-based manure management of corn.

        This experiment was designed to measure greenhouse gas (GHG) fluxes and related agronomic characteristics of a long-term corn-alfalfa rotational cropping system fertilized with manure (liquid versus semi-composted separated solids) from dairy animals. Different manure-application treatments were sized to fulfill two conditions: (1) an application rate to meet the agronomic soil nitrogen requirement of corn (“N-based” without manure incorporation, more manure), and (2) an application rate to match or to replace the phosphorus removal by silage corn from soils (“P-based” with incorporation, less manure). In addition, treatments tested the effects of liquid vs. composted-solid manure, and the effects of chemical nitrogen fertilizer. The controls consisted of non-manured inorganic N treatments (sidedress applications). These activities were performed during the 2014 and 2015 growing seasons as part of the Dairy Coordinated Agricultural Project, or Dairy CAP, as described below. The data from this experiment give insight into the factors controlling GHG emissions from similar cropping systems, and may be used for model calibration and validation after careful evaluation of the flagged data.

        Compilation of climate data from heterogeneous networks across the Hawaiian Islands

          This paper provides: (1) a summary of the available climate data in Hawai‘i including a detailed description of the various meteorological observation networks and data accessibility, and (2) a quality-controlled meteorological dataset across the Hawaiian Islands for the 25-year period 1990-2014. The dataset draws on observations from 471 climate stations and includes rainfall, maximum and minimum surface air temperature, relative humidity, wind speed, downward shortwave and longwave radiation data.

          Greenhouse Gas Emissions from Croplands

            This download provides three datasets aggregated from the original output of the 172 crops; total emissions from croplands, per kilocalorie emissions from croplands and per food kilocalorie emissions from cropland.

            National Land Cover Database 2011 (NLCD 2011)

              National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium, providing the capability to assess national land cover changes and trends across the United States from 2001 to 2011 at a spatial resolution of 30 meters, based primarily on a decision-tree classification of circa 2011 Landsat satellite data.

              NEWT: National Extension Web-mapping Tool

                National Extension Web-mapping Tool (or NEWT), is the key in efforts to make spatial data available within the Cooperative Extension System. NEWT requires no GIS experience to use. NEWT provides access to relevant spatial data at a variety of scales (national, state, county) in useful formats (maps, tables, graphs),

                Soil Use - Hydric Soils database

                  The Hydric Soils section presents the most current information about hydric soils. It updates information that was previously published in *Hydric Soils of the United States* and coordinates it with information that has been published in the *Federal Register*. It also includes the most recent set of field indicators of hydric soils. The database selection criteria are selected soil properties that are documented in Soil Taxonomy and were designed primarily to generate a list of potentially hydric soils from soil survey databases. Only criteria 1, 3, and 4 can be used in the field to determine hydric soils; however, proof of anaerobic conditions must also be obtained for criteria 1, 3, and 4 either through data or best professional judgment (from *Tech Note 1*). The primary purpose of these selection criteria is to generate a list of soil map unit components that are likely to meet the hydric soil definition.

                  Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) Simulation Model

                    The Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) model simulates crop growth, competition, light interception by leaves, biomass accumulation, partitioning of biomass into grain, water use, nutrient uptake, and growth constraints such as water, temperature, and nutrient stress. Plant development is temperature driven, with duration of growth stages dependent on degree days. Each plant species has a defined base temperature and optimum temperature.

                    Wind Erosion Prediction System (WEPS)

                      This site provides access to the WEPS software version used for official purposes by NRCS field offices and Technical Service providers. NRCS developed and maintains the components of the WEPS Databases and information on this site. The USDA-Agricultural Research Service is the lead agency for developing the science in the WEPS model and the model interface. WEPS predicts many forms of soil erosion by wind such as saltation-creep and suspension including PM-10.