Hausfather, Zeke, Cowtan, Kevin orcid.org/0000-0002-0189-1437, Menne, Matthew J. et al. (1 more author) (2016) Evaluating the impact of U.S. Historical Climatology Network homogenization using the U.S. Climate Reference Network. Geophysical Research Letters. pp. 1695-1701. ISSN 0094-8276
Abstract
Numerous inhomogeneities including station moves, instrument changes, and time of observation changes in the U.S. Historical Climatological Network (USHCN) complicate the assessment of long-term temperature trends. Detection and correction of inhomogeneities in raw temperature records have been undertaken by NOAA and other groups using automated pairwise neighbor comparison approaches, but these have proven controversial due to the large trend impact of homogenization in the United States. The new U.S. Climate Reference Network (USCRN) provides a homogenous set of surface temperature observations that can serve as an effective empirical test of adjustments to raw USHCN stations. By comparing nearby pairs of USHCN and USCRN stations, we find that adjustments make both trends and monthly anomalies from USHCN stations much more similar to those of neighboring USCRN stations for the period from 2004 to 2015 when the networks overlap. These results improve our confidence in the reliability of homogenized surface temperature records.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2016, American Geophysical Union. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Keywords: | Adjustments,Homogenization,Instrumental temperature,USCRN,USHCN |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York |
Depositing User: | Pure (York) |
Date Deposited: | 26 May 2016 10:57 |
Last Modified: | 23 Jan 2025 00:07 |
Published Version: | https://doi.org/10.1002/2015GL067640 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1002/2015GL067640 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100153 |