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Phenocam overlooking palmetto (Serenoa repens) flatwoods at the University of Florida Range Cattle Research and Education Center, Ona. Tracking seasonal changes in greenness. Takes RGB and IR photographs daily (every half hour between 6am and 8 pm) and sends them to phenocam network server at https://phenocam.sr.unh.edu/webcam/ where images are available to the public for downloads and processing.
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Data collected by the USDA National Agricultural Library from the Long Term Agroecosystem Research network sites. Data can be accessed at https://ltar.nal.usda.gov/ltar/met/index
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The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The Continental-scale International Project (GCIP) Enhanced Observing Period (EOP) takes place in the Mississippi River basin, which provides a number of watershed areas that are potentially useful for hydrologic focused studies. This data set was provided to University Corporation for Atmospheric Research (UCAR)/Joint Office for Science Support (JOSS) by the Atmospheric Radiation Measurement (ARM) Program sponsored by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Environmental Sciences Division. ARM has completed reprocessing the SWATS data. Data for SGP/all SWATS facilities/SWATS (beginning of sampling through August 15, 2001) have been replaced on the CODIAC system as of October 1, 2002. Additional reprocessing (since the early 2001 reprocessing) accomplished the following: (1) introduced corrected calibration coefficients for determining matric potential and soil water content; (2) used the "second generation technique" to obtain matric potential; (3) set erroneous values for temperature rise, soil water potential, and volumetric water content to missing values; and (4) eliminated (rare) duplicate measurements within files and (more frequent) overlaps of measurements between adjacent files.
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The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The temporal coverage for this dataset is as follows: Begin datetime: 1997-06-01 00:00:00, End datetime: 1997-07-31 23:59:59. The Climate Prediction Center (CPC), a component of the National Centers for Environmental Prediction (NCEP) acquires gage-based precipitation reports in near real-time from several thousand sites across the contiguous 48 states of the USA. There are approximately 5,800 daily rain gage reports per day out of a total available set of 9,000. These daily precipitation reports are collected by the 12 River Forecast Centers (RFC) and sent to NCEP.
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The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The temporal coverage for this dataset is as follows: Begin datetime: 1997-06-01 00:00:00, End datetime: 1997-07-31 23:59:59. The Climate Prediction Center (CPC), a component of the National Centers for Environmental Prediction (NCEP) acquires precipitation reports in near real-time from several thousand sites across the contiguous 48 states of the USA. Approximately 3000 automated, hourly rain gage observations are available in the US via the GOES Data Collection Platform (DCP) administered by the NWS Office of Hydrology (OH). These hourly reports are transmitted continuously throughout the day to NCEP in a SHEF-encoded message. This dataset contains the NCEP Hourly Precipitation Gage Data.
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The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. 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.
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County, state, and regional yields are not a product of KBS LTER research, but are scavenged from public sources such as http://www.nass.usda.gov/Data_and_Statistics/Quick_Stats/index.asp and made available here for the convenience of KBS researchers. Yields from KBS treatments may be interpreted in the context of local and regional yields. Local and regional yields are also considered when planning agronomic inputs. original data source http://lter.kbs.msu.edu/datasets/43
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Great Lakes Bioenergy Research Consortium Sustainably Experiment. original data source http://lter.kbs.msu.edu/dataset/63
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The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The ARM Cloud and Radiation Testbed (CART) cloud height dataset is one of several datasets provided for the GEWEX Continental-Scale International Project (GCIP) Near-Surface Observing Period (NESOB) 1997 project. This dataset contains cloud height data collected using the ARMCART SGP Belfort Laser Ceilometer (BLC) Model 7013C and the ARMCART SGP MicroPulse Lidar (MPL) located at station E13: Lamont Central Facility 1 (CF1). This dataset contains data from these two instruments located within the NESOB 1997 domain (94.5 W to 100.5 W longitude and 34 N to 39 N latitude) for the NESOB 1997 time period (01 April 1997 through 31 March 1998). The data in this dataset were formed by extracting 30 minute cloud height data from 60 second BLC data in netCDF format. A zero for the first cloud layer signifies no clouds detected within the limit of the instrument field of view and range. A cloud ht of zero for the second and third cloud layers indicates an unknown cloud height (i.e. the ceiliometer can't see through lower clouds). These zeros are reported as "0.00000 U" in the data. The ARMCART Belfort Laser Ceilometer data contains eight metadata parameters and eight data parameters and flags. The metadata parameters describe the date, network, station and location at which the data were collected. Data values are collected at the time of observation. All times are UTC.
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Average estimated yields and associated CV values for current (2018) model runs. Based on work done by Harsimran Kaur et al in 2017. The following is from her thesis: Agro-ecological classes (AECs) of dryland cropping systems in the inland Pacific Northwest have been predicted to become more dynamic with greater use of annual fallow under projected climate change. At the same time, initiatives are being taken by growers either to intensify or diversify their cropping systems using oilseed and grain legume crops. The main objective of this study was to use a mechanistic model (CropSyst) to provide yield and soil water forecasts at regional scales which could compare fallow versus spring crop choices (flex/opportunity crop). Model simulations were based on historic weather data (1981-2010) as well as combined with actual year weather data for simulations at pre-planting dates starting in Dec. for representative years. Yield forecasts of spring pea, canola and wheat were compared to yield simulations using only weather of the representative year via linear regression analysis to assess pre-plant forecasts. Crop yield projections on pre-plant forecast date of Feb 1st had higher R2 with yield simulated using actual years weather data and lower CVs across the region as compared to forecasts based on historic weather data and other pre-season forecast dates (Dec. 1st and Jan. 1st). Therefore, Feb. 1st was considered the most reliable time to predict yield and other relevant outputs such as available water forecasts on a regional scale. Regional forecast maps of predicted spring crop yields and CVs showed ranges of 1 to 4367 kg/ha and 11 to 293% for spring canola, 72 to 2646 kg/ha and 11 to 143% for spring pea and 39 to 5330 kg/ha and 11 to 158% for spring wheat across study region for a representative year. These data combined with predicted available water after fallow and following spring crop yield as well as estimates of winter wheat yield reduction would collectively serve as information contributing to decisions related to crop intensification and diversification.