Global Historical Climatology Network - Daily (GHCN-Daily), Version 3
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2 resources available
-
tl_2023_13275_areawater.zip
ZIP -
tl_2023_areawater.shp.ea.iso.xml
XML
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | non-public |
| contactPoint |
{
"fn": "U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch",
"@type": "vcard:Contact",
"hasEmail": "mailto:geo.geography@census.gov"
}
|
| describedByType | application/octet-steam |
| description | The Global Historical Climatology Network - Daily (GHCN-Daily/GHCNd) dataset integrates daily climate observations from approximately 30 different data sources. Version 3 was released in September 2012 with the addition of data from two additional station networks. Changes to the processing system associated with the version 3 release also allowed for updates to occur 7 days a week rather than only on most weekdays. Version 3 contains station-based measurements from well over 90,000 land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. Over 25,000 stations are regularly updated with observations from within roughly the last month. The dataset is also routinely reconstructed (usually every week) from its roughly 30 data sources to ensure that GHCNd is generally in sync with its growing list of constituent sources. During this process, quality assurance checks are applied to the full dataset. Where possible, GHCNd station data are also updated daily from a variety of data streams. Station values for each daily update also undergo a suite of quality checks. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "tl_2023_13275_areawater.zip",
"format": "ZIP",
"mediaType": "application/zip",
"description": "The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census Bureau. They are extracts of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. ",
"downloadURL": "https://www2.census.gov/geo/tiger/TIGER2023/AREAWATER/tl_2023_13275_areawater.zip",
"describedByType": "application/octet-stream"
},
{
"@type": "dcat:Distribution",
"title": "tl_2023_areawater.shp.ea.iso.xml",
"format": "XML",
"mediaType": "application/xml",
"description": "Entity and attribute file",
"downloadURL": "https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Archived_19110/tl_2023_areawater.shp.ea.iso.xml",
"describedByType": "application/octet-stream"
}
]
|
| identifier | https://data.noaa.gov/waf/NOAA/NESDIS/ncei/aim/iso/xml/C00861.xml |
| issued | 2023-01-01T00:00:00.000+00:00 |
| keyword |
[
"Earth Science > Atmosphere > Atmospheric Temperature > Surface Temperature > Maximum/Minimum Temperature",
"Earth Science > Atmosphere > Atmospheric Temperature > Surface Temperature > Air Temperature",
"Earth Science > Atmosphere > Precipitation > Precipitation Amount",
"Earth Science > Atmosphere > Precipitation > Solid Precipitation > Snow",
"Earth Science > Terrestrial Hydrosphere > Snow/Ice > Snow Depth",
"Land Surface",
"Geographic Region > Global Land",
"Vertical Location > Land Surface",
"NOAA OneStop Project",
"DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce",
"DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce"
]
|
| language |
[]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2012-09-24T00:00:00.000+00:00 |
| publisher |
{
"name": "NOAA National Centers for Environmental Information",
"@type": "org:Organization"
}
|
| rights | otherRestrictions |
| spatial | -83.736158,30.658396,-84.119245,31.077971 |
| temporal | 2023-06-01T00:00:00+00:00/2024-10-01T00:00:00+00:00 |
| title | Global Historical Climatology Network - Daily (GHCN-Daily), Version 3 |