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Analysis of adjustments to the United States Historical Climatology Network (USHCN) temperature database
Author(s) -
Balling Robert C.,
Idso Craig D.
Publication year - 2002
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2002gl014825
Subject(s) - spurious relationship , raw data , environmental science , climatology , database , variety (cybernetics) , surface air temperature , meteorology , computer science , geography , geology , precipitation , artificial intelligence , machine learning , programming language
The United States Historical Climatology Network (USHCN) temperature database is commonly used in regional climate analyses. However, the raw temperature records in the USHCN are adjusted substantially to account for a variety of potential contaminants to the dataset. We compare the USHCN data with several surface and upper‐air datasets and show that the effects of the various USHCN adjustments produce a significantly more positive, and likely spurious, trend in the USHCN data.