GHCN-Daily: a treasure trove of climate data awaiting discovery
Jaffrés, Jasmine B. D. (2019) GHCN-Daily: a treasure trove of climate data awaiting discovery. Computers & Geosciences, 122. pp. 35-44.
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Abstract
International collaboration to create and maintain international, freely accessible datasets greatly facilitates research in many scientific fields. The Global Historical Climatology Network (GHCN)-Daily database provides access to a diverse range of daily weather station data, including precipitation and temperature variables. These data are supplied as individual, station-specific files and structured in a non-delimited format. Here, the GHCN-Daily data structure, spatio-temporal content and associated caveats are delineated. The regularly updated collection now features data from over 100 000 stations in 218 countries and territories. While rigorous quality tests are routinely applied for GHCN-Daily, the database excludes the original quality flags from the source agencies.
The extraction of climate variables from the GHCN-Daily database can be challenging for novice users and may thus dissuade from the uptake of this valuable dataset. Consequently, a user-friendly toolkit for MATLAB and GNU Octave is also provided to aid data retrieval from all relevant weather stations. The toolkit reformats the extracted GHCN-Daily data into a more accessible structure to facilitate data mining and research on a large scale.