6 datasets found
  1. d

    Data from: Daymet: Daily Surface Weather Data on a 1-km Grid for North...

    • datadiscoverystudio.org
    pl
    Updated Jun 25, 2018
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    (2018). Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d8ceac422d034a05903db3fa7885bda3/html
    Explore at:
    plAvailable download formats
    Dataset updated
    Jun 25, 2018
    Area covered
    North America
    Description

    description: ABSTRACT: This data set provides Daymet output data as mosaicked gridded estimates of daily weather parameters for North America, including daily continuous surfaces of day length, precipitation amount, shortwave radiation, snow water equivalent, maximum air temperature, minimum air temperature, and water vapor pressure. The Daymet data product was derived from selected meteorological station data by interpolation and extrapolation algorithms. The current data product covers the period January 1, 1980 to December 31, 2013. Data are available on a daily time step at a 1-km x 1-km spatial resolution in Lambert Conformal Conic projection with a spatial extent that covers the conterminous United States, Mexico, and Southern Canada as meteorological station density allows. Daymet mosaic data sets are available from the ORNL DAAC via two download mechanisms: 1) Data files may be obtained through DAAC search and order tools or directly from the FTP site. 2) Data can be subset spatially and temporally prior to downloading via the THREDDS (Thematic Real-time Environmental Data Services) Data Server. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF file formats. Other tools are provided on the ORNL DAAC Daymet website that allow extraction of Daymet variable daily data as a text file for a single pixel or the download of gridded Daymet data in 2 degree by 2 degree tile data sets.; abstract: ABSTRACT: This data set provides Daymet output data as mosaicked gridded estimates of daily weather parameters for North America, including daily continuous surfaces of day length, precipitation amount, shortwave radiation, snow water equivalent, maximum air temperature, minimum air temperature, and water vapor pressure. The Daymet data product was derived from selected meteorological station data by interpolation and extrapolation algorithms. The current data product covers the period January 1, 1980 to December 31, 2013. Data are available on a daily time step at a 1-km x 1-km spatial resolution in Lambert Conformal Conic projection with a spatial extent that covers the conterminous United States, Mexico, and Southern Canada as meteorological station density allows. Daymet mosaic data sets are available from the ORNL DAAC via two download mechanisms: 1) Data files may be obtained through DAAC search and order tools or directly from the FTP site. 2) Data can be subset spatially and temporally prior to downloading via the THREDDS (Thematic Real-time Environmental Data Services) Data Server. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF file formats. Other tools are provided on the ORNL DAAC Daymet website that allow extraction of Daymet variable daily data as a text file for a single pixel or the download of gridded Daymet data in 2 degree by 2 degree tile data sets.

  2. o

    Daymet Single Pixel Extraction Tool

    • daac.ornl.gov
    Updated Jan 25, 2025
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    (2025). Daymet Single Pixel Extraction Tool [Dataset]. http://doi.org/10.3334/ORNLDAAC/2361
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    Dataset updated
    Jan 25, 2025
    Description

    The Daymet Single Pixel Extraction Tool provides download of daily Daymet in a CSV tabular file format for a single geographic point (pixel) and provides visualization of the queried data as a graphical visualization. This data access option allows users to enter a single geographic point by latitude and longitude in decimal degrees. A routine is executed that translates the (lon, lat) coordinates into projected Daymet (x,y) coordinates. From the Daymet dataset of daily interpolated surface weather variables, daily data from the nearest 1 km x 1 km Daymet grid cell are extracted and formatted as a table with one column for each Daymet variable and one row for each day. All daily data for selected years is returned as a single (long) table, formatted for display in the browser window or downloaded in a simple text format, suitable for import into a spreadsheet or other data analysis software. A Daymet Single Pixel Extraction Web Services API is provided. CSV file download is also possible through command utilities such as Wget and cURL.

  3. g

    Data from: Daymet: Monthly Climate Summaries on a 1-km Grid for North...

    • data.globalchange.gov
    Updated Sep 2, 2016
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    (2016). Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 2 [Dataset]. https://data.globalchange.gov/dataset/nasa-ornldaac-1281
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    Dataset updated
    Sep 2, 2016
    Area covered
    North America
    Description

    ABSTRACT: This data set provides monthly summary climate data at 1-km x 1-km spatial resolution for four Daymet variables; minimum and maximum temperature, precipitation, and vapor pressure. These single month summary data products are produced for each month for individual years and covers the period of record from 1980 to 2014. The monthly climatological summaries are derived from the much larger data set of daily weather parameters (Thornton et al., 2014), produced on a 1-km x 1-km grid over the conterminous United States, Southern Canada, and Mexico as station data inputs allow (Thornton, et al., 2014). Daymet monthly summary data are available from the ORNL DAAC via two download mechanisms: 1. Search and Order or FTP Browse: Files are in both netCDF version 4.0 format or GeoTIFF file formats. There are a total of 1,680 *.nc4 files and 1,680 .tif files for the four Daymet parameters (prcp, tmax, tmin, and vp) for 35 years (1980 -2014). 2.THREDDS (Thematic Real-time Environmental Data Services) Data Server: Data can be subset spatially and temporally prior to downloading. Subsetting and downloading of files available through THREDDS has a 2-GB file size limitation.

  4. DOI: 10.3334/ORNLDAAC/1840

    • daac.ornl.gov
    Updated Dec 15, 2020
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    THORNTON, M.M.; Shrestha, R.; WEI, Y.; THORNTON, P.E.; KAO, SHIH-CHIEH (2020). DOI: 10.3334/ORNLDAAC/1840 [Dataset]. http://doi.org/10.3334/ORNLDAAC/1840
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    Dataset updated
    Dec 15, 2020
    Dataset provided by
    Oak Ridge National Laboratory Distributed Active Archive Center
    Authors
    THORNTON, M.M.; Shrestha, R.; WEI, Y.; THORNTON, P.E.; KAO, SHIH-CHIEH
    Time period covered
    Jan 1, 1950 - Dec 31, 2021
    Area covered
    Description

    This dataset provides Daymet Version 4 data as gridded estimates of daily weather parameters for North America, Hawaii, and Puerto Rico. Daymet variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equivalent, and day length. The dataset covers the period from January 1, 1980, to December 31 (or December 30 in leap years) of the most recent full calendar year for the Continental North America and Hawaii spatial regions. Data for Puerto Rico is available starting in 1950. Each subsequent year is processed individually at the close of a calendar year. Daymet variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Areas of Hawaii and Puerto Rico are available as files separate from the continental North America. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant netCDF file format.

  5. d

    Data from: Ameriflux data: Goodwin Creek, Mississippi, 1980-2014

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Apr 21, 2025
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    Agricultural Research Service (2025). Ameriflux data: Goodwin Creek, Mississippi, 1980-2014 [Dataset]. https://catalog.data.gov/dataset/ameriflux-data-goodwin-creek-mississippi-1980-2014-7ab0e
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Service
    Area covered
    Mississippi
    Description

    This dataset links to a data download from the Daymet website. Data parameters are Latitude: 34.2547 Longitude: -89.8735 X & Y on Lambert Conformal Conic: 897941.75 -822030.73; Tile: 11206; Elevation: 91 meters; Years: 1980-2014. Archived and distributed through the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC), the Daymet dataset for Goodwin Creek provides gridded estimates of daily weather parameters for North America, including daily continuous surfaces of minimum and maximum temperature, precipitation occurrence and amount, humidity, shortwave radiation, snow water equivalent, and day length. The Goodwin Creek site is located in the Bluff Hills, just east of the Mississippi River valley. In addition to being a core AmeriFlux site, Goodwin Creek is affiliated with a multitude of other projects including Surface Radiation (SURFRAD), Baseline Surface Radiation Network (BSRN), and is one of twelve USDA Conservation Reserve Program watersheds. Natural disturbances are of minimal influence to the site. The immediate region is primarily used for grazing while infrequent logging activities occur in nearby forests. The grass surrounding the base of the tower is mowed periodically to maintain a height consistent with the regional grasslands. Daymet is supported by funding from NASA through the Earth Science Data and Information System (ESDIS) and the Terrestrial Ecosystem Program. The continued development of the Daymet algorithm and processing is also supported by the Office of Biological and Environmental Research within the U.S. Department of Energy's Office of Science. Resources in this dataset:Resource Title: GeoData catalog. File Name: Web Page, url: https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/GoodwinCreek_eaa_2015_March_17_1633

  6. CAMELS: Catchment Attributes and MEteorology for Large-sample Studies

    • gdex.ucar.edu
    • data.ucar.edu
    • +1more
    Updated Jun 24, 2022
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    Mizukami, M.; Addor, N.; Blodgett, D.; Viger, R. J.; Bock, A.; Clark, Martyn; Sampson, Kevin; Newman, Andrew; Andrew Newman; GDEX Curator (2022). CAMELS: Catchment Attributes and MEteorology for Large-sample Studies [Dataset]. https://gdex.ucar.edu/dataset/camels.html
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    Dataset updated
    Jun 24, 2022
    Dataset provided by
    University Corporation for Atmospheric Research
    Authors
    Mizukami, M.; Addor, N.; Blodgett, D.; Viger, R. J.; Bock, A.; Clark, Martyn; Sampson, Kevin; Newman, Andrew; Andrew Newman; GDEX Curator
    Time period covered
    Jan 1, 1980 - Dec 31, 2014
    Area covered
    Description

    The hydrometeorological time series together with the catchment attributes constitute the CAMELS dataset: Catchment Attributes and MEteorology for Large-sample Studies.

    TIME SERIES Data citation: A. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A large-sample watershed-scale hydrometeorological dataset for the contiguous USA. Boulder, CO: UCAR/NCAR. https://dx.doi.org/10.5065/D6MW2F4D

    Associated paper: A. J. Newman, M. P. Clark, K. Sampson, A. Wood, L. E. Hay, A. Bock, R. J. Viger, D. Blodgett, L. Brekke, J. R. Arnold, T. Hopson, and Q. Duan: Development of a large-sample watershed-scale hydrometeorological dataset for the contiguous USA: dataset characteristics and assessment of regional variability in hydrologic model performance. Hydrol. Earth Syst. Sci., 19, 209-223, doi:10.5194/hess-19-209-2015, 2015.

    We developed basin scale hydrometeorological forcing data for 671 basins in the United States Geological Survey’s Hydro-Climatic Data Network 2009 (HCDN-2009, Lins 2012) conterminous U.S. basin subset. Retrospective model forcings are derived from Daymet, NLDAS, and Maurer et al. (2002) Daymet and NLDAS forcing data run from 1 Jan 1980 to 31 Dec 2014, and Maurer run from 1 January 1980 to 31 December 2008. Model timeseries output is available for the same time periods as the forcing data. USGS streamflow data are also provided for all basins for all dates available in the 1 Jan to 31 Dec 2014 period. We then implemented the hydrologic model and calibration routine traditionally used by the NWS, the SNOW-17 and Sacramento soil moisture accounting (SAC-SMA) based hydrologic modeling system and the shuffled complex evolution (SCE) optimization approach (Duan et al. 1993).

    To retrieve the entire time series dataset, all five *.zip files should be downloaded. The basin_timeseries_v1p2_metForcing_obsFlow.zip file contains all the basin forcing data for all three meteorology products, observed streamflow, basin metadata, readme files, and basin shapefiles. The three modelOutput.zip files contain all the model output for the various forcing datasets denoted in the link names. Finally, the basin_set_full_res.zip file is a full resolution basin shapefile containing the original basin boundaries from the geospatial fabric.

    Note there are two versions of the basin shapefiles included in this dataset. The shapefile included with the basin forcing data was used to compute the basin forcing data and is a simplified representation of the basin boundaries which will include small holes in the interior of some basins where sub-basin HRU simplifications do not match. The full resolution shapefile does not have those discontinuities. The user can best determine which shapefile (or both) is appropriate for their needs.

    CATCHMENT ATTRIBUTES Data citation: Addor, A. Newman, M. Mizukami, and M. P. Clark, 2017. Catchment attributes for large-sample studies. Boulder, CO: UCAR/NCAR. https://doi.org/10.5065/D6G73C3Q

    Association paper: Addor, N., Newman, A. J., Mizukami, N. and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, doi:10.5194/hess-21-5293-2017, 2017.

    This dataset covers the same 671 catchments as the Large-Sample Hydrometeorological Dataset introduced by Newman et al. (2015). For each catchment, we characterized a wide range of attributes that influence catchment behavior and hydrological processes. Datasets characterizing these attributes have been available separately for some time, but comprehensive multivariate catchment scale assessments have so far been difficult, because these datasets typically have different spatial configurations, are stored in different archives, or use different data formats. By creating catchment scale estimates of these attributes, our aim is to simplify the assessment of their interrelationships.

    Topographic characteristics (e.g. elevation and slope) were retrieved from Newman et al. (2015). Climatic indices (e.g., aridity and frequency of dry days) and hydrological signatures (e.g., mean annual discharge and baseflow index) were computed using the time series provided by Newman et al. (2015). Soil characteristics (e.g., porosity and soil depth) were characterized using the STATSGO dataset and the Pelletier et al. (2016) dataset. Vegetation characteristics (e.g. the leaf area index and the rooting depth) were inferred using MODIS data. Geological characteristics (e.g., geologic class and the subsurface porosity) were computed using the GLiM and GLHYMPS datasets.

    An essential feature, that differentiates this dataset from similar ones, is that it both provides quantitative estimates of diverse catchment attributes, and involves assessments of the limitations of the data and methods used to compute those attributes (see Addor et al., 2017). The large number of catchments, combined with the diversity of their geophysical characteristics, makes these data well suited for large-sample studies and comparative hydrology.

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(2018). Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d8ceac422d034a05903db3fa7885bda3/html

Data from: Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2.

Related Article
Explore at:
plAvailable download formats
Dataset updated
Jun 25, 2018
Area covered
North America
Description

description: ABSTRACT: This data set provides Daymet output data as mosaicked gridded estimates of daily weather parameters for North America, including daily continuous surfaces of day length, precipitation amount, shortwave radiation, snow water equivalent, maximum air temperature, minimum air temperature, and water vapor pressure. The Daymet data product was derived from selected meteorological station data by interpolation and extrapolation algorithms. The current data product covers the period January 1, 1980 to December 31, 2013. Data are available on a daily time step at a 1-km x 1-km spatial resolution in Lambert Conformal Conic projection with a spatial extent that covers the conterminous United States, Mexico, and Southern Canada as meteorological station density allows. Daymet mosaic data sets are available from the ORNL DAAC via two download mechanisms: 1) Data files may be obtained through DAAC search and order tools or directly from the FTP site. 2) Data can be subset spatially and temporally prior to downloading via the THREDDS (Thematic Real-time Environmental Data Services) Data Server. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF file formats. Other tools are provided on the ORNL DAAC Daymet website that allow extraction of Daymet variable daily data as a text file for a single pixel or the download of gridded Daymet data in 2 degree by 2 degree tile data sets.; abstract: ABSTRACT: This data set provides Daymet output data as mosaicked gridded estimates of daily weather parameters for North America, including daily continuous surfaces of day length, precipitation amount, shortwave radiation, snow water equivalent, maximum air temperature, minimum air temperature, and water vapor pressure. The Daymet data product was derived from selected meteorological station data by interpolation and extrapolation algorithms. The current data product covers the period January 1, 1980 to December 31, 2013. Data are available on a daily time step at a 1-km x 1-km spatial resolution in Lambert Conformal Conic projection with a spatial extent that covers the conterminous United States, Mexico, and Southern Canada as meteorological station density allows. Daymet mosaic data sets are available from the ORNL DAAC via two download mechanisms: 1) Data files may be obtained through DAAC search and order tools or directly from the FTP site. 2) Data can be subset spatially and temporally prior to downloading via the THREDDS (Thematic Real-time Environmental Data Services) Data Server. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF file formats. Other tools are provided on the ORNL DAAC Daymet website that allow extraction of Daymet variable daily data as a text file for a single pixel or the download of gridded Daymet data in 2 degree by 2 degree tile data sets.

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