Global Historical Climatology Net (GHCN) Version 2 Temperature, Precipitation, Pressure
To Access Resource:
Questions? Email Resource Support Contact:
-
datahelp@ucar.edu
Temporal Range
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Begin: 1702-01 End: 2004-12
| Resource Type | dataset |
|---|---|
| Temporal Range Begin | 1702-01 |
| Temporal Range End | 2004-12 |
| Temporal Resolution | N/A |
| Bounding Box North Lat | N/A |
| Bounding Box South Lat | N/A |
| Bounding Box West Long | N/A |
| Bounding Box East Long | N/A |
| Spatial Representation | N/A |
| Spatial Resolution | N/A |
| Related Links |
Related Resource #1 : Most recent information on GHCN Version 2 at NCDC Related Resource #2 : Global Historical Climatology Network, 1753-1990 at ORNL DAAC |
| Additional Information | N/A |
| Resource Format |
ASCII |
| Standardized Resource Format |
ASCII |
| Asset Size |
234.897 MB |
| Legal Constraints |
Creative Commons Attribution 4.0 International License |
| Access Constraints |
None |
| Software Implementation Language | N/A |
| Resource Support Name | N/A |
|---|---|
| Resource Support Email | datahelp@ucar.edu |
| Resource Support Organization | N/A |
| Distributor |
NSF NCAR Geoscience Data Exchange |
| Metadata Contact Name | N/A |
| Metadata Contact Email | datahelp@ucar.edu |
| Metadata Contact Organization | NSF NCAR Geoscience Data Exchange |
| Author |
|
|---|---|
| Publisher |
NSF National Center for Atmospheric Research |
| Publication Date | 1995-09-06 |
| Digital Object Identifier (DOI) | Not Assigned |
| Alternate Identifier |
d564000 |
| Resource Version | N/A |
| Topic Category |
climatologyMeteorologyAtmosphere |
| Progress | onGoing |
| Metadata Date | 2025-10-09T01:30:39Z |
| Metadata Record Identifier | edu.ucar.gdex::d564000 |
| Metadata Language | eng; USA |
| Suggested Citation | . (1995). Global Historical Climatology Net (GHCN) Version 2 Temperature, Precipitation, Pressure. NSF National Center for Atmospheric Research. https://gdex.ucar.edu/datasets/d564000. Accessed 31 December 2025. |
Harvest Source
- ISO-19139 ISO-19139 Metadata