This historical dataset is recommended for ancillary use only and not as a primary research dataset. It has likely been superseded by a newer, improved dataset.
Abstract:
NOTE: Version 3 of GHCN has been discontinued at NCEI, and so this dataset is no longer being updated. Version 4 of GHCN can be accessed here.
The Global Historical Climatology Network (GHCN) is a baseline network of long-running surface global stations for the purpose of monitoring and detecting climate change. Monthly-summarized data from various global sources are processed on a daily basis assembled into version 3 of NCDC's GHCNM dataset. The CISL Research Data Archive is hosting a copy of the monthly-average surface temperatures in support of UCAR's Global Learning and Observation to Benefit the Environment (GLOBE) program.
Temporal Range:
1701-01-01 to 2019-07-31
Data Types:
Platform Observation
Data Contributors:
DOC/NOAA/NESDIS/NCEI
National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
Publications:
J.H. Lawrimore, M.J. Menne, B.E. Gleason, C.N. Williams, D.B. Wuertz, R.S. Vose, and J. Rennie, 2011: An overview of the Global Historical Climatology Network monthly mean temperature data set, version 3 J. Geophys. Res., 116, D19121 (DOI: 10.1029/2011JD016187).
Data Formats:
ASCII (see dataset documentation)
Related RDA Datasets:
-
Global Historical Climatology Net (GHCN) Version 2 Temperature, Precipitation, Pressure
Metadata Record:
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.
This work is licensed under a Creative Commons Attribution 4.0 International License.