NOAA Global Historical Climatology Network Daily (GHCN-D)

Description

UPDATE TO GHCN PREFIXES - The NODD team is working on improving performance and access to the GHCNd data and will be implementing an updated prefix structure. For more information on the prefix changes, please see the "READ ME on the NODD Github". If you have questions, comments, or feedback, please reach out to nodd@noaa.gov with GHCN in the subject line.

Global Historical Climatology Network - Daily is a dataset from NOAA that contains daily observations over global land areas. It contains station-based measurements from 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. It is a composite of climate records from numerous sources that were merged together and subjected to a common suite of quality assurance reviews. Some data are more than 175 years old. The data is in CSV format. Each file corresponds to a year from 1763 to present and is named as such.

Update Frequency

Daily

License

https://www.ncdc.noaa.gov/ghcnd-data-access

Documentation

https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-ghcn

Managed By

See all datasets managed by NOAA.

Contact

For questions regarding data content or quality, visit the NOAA GHCN site.
For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov.
We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov

How to Cite

NOAA Global Historical Climatology Network Daily (GHCN-D) was accessed on DATE from https://registry.opendata.aws/noaa-ghcn.

Usage Examples

Tutorials

• Calculating growing degree days using AWS Registry of Open Data by Karen Hildebrand and Zac Flamig
  AthenaCloudFormationGlue
• Explore & Visualize 200+ Years of Global Temperature by Kapil Sreedharan
  
• Visualize over 200 years of global climate data using Amazon Athena and Amazon QuickSight by Conor Delaney
  AthenaGlue

Publications

• Natural and Socioeconomic Conditions Influence Tick-Borne Encephalitis Cases in Russia by Lantian Zhang, Linsheng Yang, Li Wang, Lijuan Gu, Hairong Li, Svetlana Malkhazova