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NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0
The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a monthly global merged land-ocean surface temperature analysis product that is derived from two independent analyses. The first is the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the second is a land surface air temperature (LSAT) analysis that uses the Global Historical Climatology Network - Monthly (GHCN-M) temperature database. The NOAAGlobalTemp data set contains global surface temperatures in gridded (5° × 5°) and monthly resolution time series (from 1850 to present time) data files. The product is used in climate monitoring assessments of near-surface temperatures on a global scale. This version, v6.0, an updated version to the current operational release v5.1, is implemented by an Artificial Neural Network method to improve the surface temperature reconstruction over the land.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | non-public |
| accrualPeriodicity | R/P1M |
| contactPoint |
{
"fn": "NOAA National Centers for Environmental Information",
"@type": "vcard:Contact",
"hasEmail": "mailto:ncei.orders@noaa.gov"
}
|
| describedByType | application/octet-steam |
| description | The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a monthly global merged land-ocean surface temperature analysis product that is derived from two independent analyses. The first is the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the second is a land surface air temperature (LSAT) analysis that uses the Global Historical Climatology Network - Monthly (GHCN-M) temperature database. The NOAAGlobalTemp data set contains global surface temperatures in gridded (5° × 5°) and monthly resolution time series (from 1850 to present time) data files. The product is used in climate monitoring assessments of near-surface temperatures on a global scale. This version, v6.0, an updated version to the current operational release v5.1, is implemented by an Artificial Neural Network method to improve the surface temperature reconstruction over the land. |
| distribution |
[
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"downloadURL": "https://doi.org/10.25921/rzxg-p717",
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|
| identifier | gov.noaa.ncdc:C01704 |
| issued | 2024-02-13T00:00:00.000+00:00 |
| keyword |
[
"Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature",
"Earth Science > Land Surface > Surface Thermal Properties > Land Surface Temperature",
"Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Surface Temperature Indices",
"Oceanic - Surface - Sea-surface Temperature",
"Atmospheric - Surface - Air Temperature",
"Geographic Region > Global Land",
"Geographic Region > Global Ocean",
"Vertical Location > Land Surface",
"Vertical Location > Sea Surface",
"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 | 2024-02-13T00:00:00.000+00:00 |
| publisher |
{
"name": "National Oceanic and Atmospheric Administration, Department of Commerce"
}
|
| references |
[
"https://doi.org/10.1175/2007JCLI2100.1",
"https://doi.org/10.25921/2tj4-0e21",
"https://doi.org/10.25921/9qth-2p70",
"https://doi.org/10.7289/V5FN144H"
]
|
| rights | otherRestrictions |
| spatial | 180.0,-90.0,-180.0,90.0 |
| temporal | 1850-01-01T00:00:00+00:00/1850-01-01T00:00:00+00:00 |
| title | NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.0 |
