U.S. flag

An official website of the United States government

Agronomic Calendars for the Bushland, Texas Maize for Grain Datasets

    This dataset consists of agronomic calendars for six seasons of maize grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) for 1989, 1990, 1994, 2013, 2016, and 2018. Maize was grown on four large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The entire datasets for individual season years consist of soil water content, weather, crop growth and yield, agronomic calendar, water balance (evapotranspiration, precipitation, dew/frost, irrigation), and lysimeter energy and water balance data.

    Soil Water Content Data for The Bushland, Texas Large Weighing Lysimeter Experiments

      This dataset contains soil water content data developed from neutron probe readings taken in access tubes in each of the four large, precision weighing lysimeters and in the fields surrounding each lysimeter at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) beginning in 1989. Readings were taken periodically with a field-calibrated neutron probe at depths from 10 cm to 230 cm (maximum of 190 cm depth in the lysimeters) in 20-cm depth increments. Periods between readings were typically one to two weeks, sometimes longer according to experimental design and need for data. Field calibrations in the Pullman soil series were done every few years. Calibrations typically produced a regression equation with RMSE <= 0.01 m3 m-3. Data were used to guide irrigation scheduling to achieve full or deficit irrigation as required by the experimental design.

      Data from: Compound hydroclimatic extremes in a semi-arid grassland: Drought, deluge and the carbon cycle

        These data were generated to evaluate the effects of compound hydroclimatic extremes – a deluge during drought – on production and carbon cycling in a semi-arid (shortgrass steppe) grassland in Colorado (USA). The study experimentally imposed an extreme drought and then interrupted this drought with either a single extreme deluge event or the equivalent amount of precipitation provided in several smaller events

        Geospatial Measurements of Soil Electrical Conductivity, Soil Salinity, and Soil Saturation Percentage in Irrigated Farmland

          The data are from soil salinity surveys conducted on California irrigated farmland between 1991 and 2017. The data consist of: (i.) geolocated field survey measurements of bulk soil electrical conductivity (ECa) and (ii.) laboratory determinations of soil salinity (ECe) and saturation percentage (SP) made on soil core sections extracted from the surveyed fields. The data comprise 277,624 ECa measurements and 8,575 ECe and SP determinations.

          SGP97 GCIP/EOP Surface: Precipitation NCEP/EMC 4KM Gridded Data (GRIB) Radar Est. w/bias removal UBR -2001

          NAL Geospatial Catalog
            The temporal coverage for this dataset is as follows: Begin datetime: 1997-04-23 00:00:00, End datetime: 2001-12-31 23:59:59. This dataset contains the National Centers for Environmental Prediction (NCEP) Environmental Modeling Center (EMC) 4 KM GRIB radar estimate after bias removal ("UBR") data. A prototype, real-time, hourly, multi-sensor National Preciptation Analysis (NPA) has been developed at NCEP in cooperation with the Office of Hydrology (OH). This analysis merges two data sources that are currently being collected in real-time by OH and NCEP.

            SGP97 GCIP/EOP Surface: Precipitation NCEP/EMC 4KM Gridded Data (GRIB) Gage-Only Analysis (GAG) 1996-2001

            NAL Geospatial Catalog
              This dataset contains the National Centers for Environmental Prediction (NCEP) Environmental Modeling Center (EMC) 4 KM GRIB gage-only analysis ("GAG") data. A prototype, real-time, hourly, multi-sensor National Preciptation Analysis (NPA) has been developed at NCEP in cooperation with the Office of Hydrology (OH). This analysis merges two data sources that are currently being collected in real-time by OH and NCEP. Hourly digital precipitation (HDP) radar estimates are created by the WSR-88D Radar Product Generator on a 131 X 131 4-km grid centered over each radar site. Data analysis routines, including a bias correction of the radar estimates using rain gage data, have been adapted by NCEP on a national 4-km grid from algorithms developed by OH and executed regionally at NWS River Forecast Centers (RFC). This dataset only contains the NCEP 4 KM GRIB Data gage-only hourly, 6-hourly, and daily analysis. 6-hourly data are generally available at 00Z, 06Z, 12Z, and 18Z.

              SGP97 GCIP/EOP Surface: Precipitation NCEP/EMC 4KM Gridded Data (GRIB) Radar Est. no bias removal RAD-2001

              NAL Geospatial Catalog
                This dataset contains the National Centers for Environmental Prediction (NCEP) Environmental Modeling Center (EMC) 4 KM GRIB radar estimate (no bias removal) "RAD" data. A prototype, real-time, hourly, multi-sensor National Preciptation Analysis (NPA) has been developed at NCEP in cooperation with the Office of Hydrology (OH). This analysis merges two data sources that are currently being collected in real-time by OH and NCEP.

                SGP97 GCIP/EOP Surface: Precipitation NCEP/EMC 4KM Gridded Data (GRIB) Multi-Sensor Analysis (MUL) <-2001

                NAL Geospatial Catalog
                  This dataset contains the National Centers for Environmental Prediction (NCEP) Environmental Modeling Center (EMC) 4 KM GRIB multi-sensor analysis ("MUL") data. A prototype, real-time, hourly, multi-sensor National Preciptation Analysis (NPA) has been developed at NCEP in cooperation with the Office of Hydrology (OH). This analysis merges two data sources that are currently being collected in real-time by OH and NCEP. Hourly digital precipitation (HDP) radar estimates are created by the WSR-88D Radar Product Generator on a 131 X 131 4-km grid centered over each radar site. Data analysis routines, including a bias correction of the radar estimates using rain gage data, have been adapted by NCEP on a national 4-km grid from algorithms developed by OH and executed regionally at NWS River Forecast Centers (RFC).

                  US Department of Agriculture Soil Climate Analysis Network (SCAN) site 2195 data, CMRB LTAR-MO, Columbia, Missouri

                  NAL Geospatial Catalog
                    This dataset contains air temperature, relative humidity, precipitation, solar radiation, wind speed, soil temperature, and soil moisture data from Soil Climate Analysis Network (SCAN) site 2195 in Boone County, Missouri. This SCAN site is at the Long-Term Agroecosystem Research (LTAR) project's Central Mississippi River Basin (CMRB)'s location in Columbia, Missouri.