This overview focuses on the temperature data. Global Historical climatology Network daily temperatures. Coastal regions tend to have more stations that interior regions due to the location of population centers. Additionally, many individual station records go back a century or more, so the dataset can be used to assess changes in the climate over time. Funders and Expert Team Funding:

ghcn data

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Please Cite data sources, following the data providers’ instructions. The formal designation is ghcnm. Key Figures Click the thumbnails to view larger sizes.

GHCN (Global Historical Climatology Network) Related Gridded Products | NCAR – Climate Data Guide

Nevertheless, Brazil, India, and South Africa have also contributed records from very dense national precipitation networks. The reason that these measurements are available rather than, e.

Unfortunately, recording the data during the day tends to induce a bias in the measurements, which will be demonstrated by example. Snow depth observations for stations outside of the United States originate from the synoptic reports in the Global Summary of the Day dataset.

Nevertheless, data from this GTS source are available for a number of locations that are not contained in any other data source available to NCEI, and they provide the only source of updates for many stations.

Global Historical Climatology Network – Wikipedia

With the development of GHCN-M v3, new quality control QC procedures were instituted using methods established as part of other dataset development efforts during the past five years. A brief synopsis of each of these categories follows.


ghcn data

Type of data product Gridded from obs. The International Collection contains historical records for approximately 20, locations outside the United States from over different countries and largely reflects the data collection efforts that led to the release of Global Daily Climatology Network dataset the predecessor to GHCN-Daily. With these thermometers, an observer can visit a thermometer once a day and record information about maximum and minimum temperatures over the prior 24 hours. These sources fall into four broad categories: Due to differences in the way that the thermometers are sited and sheltered, it appears that they have a bias with respect to each other.

About the Experts pages with Expert Guidance by Dr. How do I best compare these data with model output? How is uncertainty characterized in these data?

ghcn data

Use of the data require a careful assessment of the biases that may be present due to changes in measurement practices. Forts and Voluntary Observer Program covering much of the 19 th century to the latest measurements from state-of-the-art climate monitoring stations that make up the U.

Global Historical Climatology Network Daily – Data Access

Bulletin of the American Meteorological Society, Journal of Climate22—, doi: From Wikipedia, the free encyclopedia. Geophysical Research Letters One option is to statistically interpolate the station measurements to a climate model grid using techniques such as kriging. In the best case scenario, an NMHC may offer its complete digital, daily climate database for inclusion in GHCN-Daily, which is the case for Canada with over station records provided and Australia with over 17, station records.


Easterling, An evaluation of the time of observation bias adjustment in the U. For example, if a temperature is presented as 5. NCEI provides numerous daily variables, including maximum and minimum temperature, total daily precipitation, snowfall, and snow depth; however, about one half of the stations report precipitation only.

Sites that are actively updated in the database 2, are marked as “active” and shown in large symbols, other sites are marked as “historical” and shown in small symbols.

Global Historical Climatology Network Monthly – Version 3

The following was contributed by Karen McKinnonFebruary, In this approach, numerous combinations of temperature series in a region are compared to identify cases of hgcn shifts in one station series relative to many others. Acknowledgement of any material taken from this page is appreciated.

Identifies months that are isolated in time. Any opinions, findings and daga or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation.