NOAA Global Historical Climatology Network Daily (GHCN-D)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/noaa-ghcn-dataset")

fs.listdir("s3://noaa-ghcn-pds")

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.

Contact:

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

Managed By:

http://www.noaa.gov/

Collabs:

• ASDI:
  • Tags: climate

Resources:

1. resource:
   • Description: Project data files
   • ARN: arn:aws:s3:::noaa-ghcn-pds
   • Region: us-east-1
   • Type: S3 Bucket
   • Explore: Browse Bucket

Tags:

aws-pds, agriculture, climate, meteorological, sustainability, weather

Tutorials:

1. tutorial:
   • Title: Visualize over 200 years of global climate data using Amazon Athena and Amazon QuickSight
   • URL: https://aws.amazon.com/blogs/big-data/visualize-over-200-years-of-global-climate-data-using-amazon-athena-and-amazon-quicksight/
   • AuthorName: Conor Delaney
   • Services: Athena, Glue
2. tutorial:
   • Title: Calculating growing degree days using AWS Registry of Open Data
   • URL: https://aws.amazon.com/blogs/industries/calculating-growing-degree-days-using-aws-registry-of-open-data/
   • AuthorName: Karen Hildebrand and Zac Flamig
   • Services: Athena, CloudFormation, Glue
3. tutorial:
   • Title: Explore & Visualize 200+ Years of Global Temperature
   • URL: https://medium.com/swlh/explore-visualize-200-years-of-global-temperature-using-apache-spark-bigquery-and-google-data-699ed8b3c67?sk=3721ca3220a75af80293ac3e4bf3f4d1
   • AuthorName: Kapil Sreedharan

Publication:

1. publication:
   • Title: Natural and Socioeconomic Conditions Influence Tick-Borne Encephalitis Cases in Russia
   • URL: http://www.pjoes.com/Natural-and-Socioeconomic-Conditions-Influence-nTick-Borne-Encephalitis-Cases-in,153552,0,2.html
   • AuthorName: Lantian Zhang, Linsheng Yang, Li Wang, Lijuan Gu, Hairong Li, Svetlana Malkhazova