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HadGHCND - gridded daily temperatures

HadGHCND is a gridded daily temperature dataset based upon near-surface maximum (TX) and minimum (TN) temperature observations. It is designed primarily for the analysis of climate extremes and also for climate model evaluation. It spans the years 1950 to present and is available on a 2.5° latitude by 3.75° longitude grid. This dataset has been developed in collaboration with the United States National Climatic Data Center (NCDC).

Brief description of the data

HadGHCND has been created using daily station observations in NCDC's GHCN (Global Historical Climatology Network)-Daily database. This consists of over 23,000 stations with temperature observations, though many of these have quite short records, or gaps in the record. Quality control has been carried out to indicate potentially spurious values. We have filtered down these stations to obtain approximately 3000 for which we can adequately calculate a 1961-90 daily climatology. The dataset represents anomalies from the 1961-1990 climatology.

We have used an angular-distance weighting approach to interpolate the station data onto the required grid. We chose to grid the station anomalies to overcome some of the issues associated with elevation dependence.

The data are available as gridded anomalies, relative to the 1961-90 base period, and also as gridded actual temperatures. The actual temperatures were created by gridding the daily normals and adding these to the relevant daily anomaly.

HadGHCND sample image

Go to download page Data are available from the download page without charge for the purposes of private study and scientific research, but please read the terms and conditions.

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When using the data set in a paper, the following is the correct citation to use:

Caesar, J., L. Alexander, and R. Vose (2006), Large-scale changes in observed daily maximum and minimum temperatures: Creation and analysis of a new gridded data set, J. Geophys. Res., 111, D05101, doi:10.1029/2005JD006280 (PDF file, 1.7MB)

Other information

Dataset produced in collaboration with:

Met Office National Climatic Data