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Standardisation of temperature observed by automatic weather stations

Joyce, AN; Adamson, J; Huntley, B; Parr, T; Baxter, R

Authors

AN Joyce

J Adamson

T Parr



Abstract

Daily mean, maximum and minimum surface air temperature data were gathered from a network of automatic weather stations (AWS) within the Moor House National Nature Reserve in northern England. Five AWS were installed next to the official Environmental Change Network weather station at Moor House. Data were compared graphically and correction constants were calculated to adjust data from each AWS to the standard of the official station by optimising the concordance correlation coefficient. Each corrected station was re-located next to one of five in-situ stations in and around the reserve, allowing correction of all temperature sensors to a common standard. The mean error associated with measured daily mean, maximum and minimum temperature for each sensor does not exceed ±0.2 K. The procedure quantifies a source of systematic measurement error, improving the identification of spatial temperature differences between stations.

Citation

Joyce, A., Adamson, J., Huntley, B., Parr, T., & Baxter, R. (2001). Standardisation of temperature observed by automatic weather stations. Environmental Monitoring and Assessment, 68(2), 127-136. https://doi.org/10.1023/a%3A1010795108641

Journal Article Type Article
Publication Date May 1, 2001
Deposit Date May 21, 2007
Journal Environmental Monitoring and Assessment
Print ISSN 0167-6369
Electronic ISSN 1573-2959
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 68
Issue 2
Pages 127-136
DOI https://doi.org/10.1023/a%3A1010795108641
Keywords Automatic weather station, Optimisation, Calibration, Surface air temperature, Systematic error.