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Harris, Ian, Osborn, Timothy J. 
ORCID: https://orcid.org/0000-0001-8425-6799, Jones, Phil ORCID: https://orcid.org/0000-0001-5032-5493 and Lister, David
(2020)
Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset.
Scientific Data, 7.
ISSN 2052-4463
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Abstract
CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5 degrees latitude by 0.5 degrees longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901-2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | patterns,reanalysis,satellite,space-time climate,trend,variability,sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action |
| Faculty \ School: | University of East Anglia Research Groups/Centres > Theme - ClimateUEA Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Climatic Research Unit Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 09 Apr 2020 00:50 |
| Last Modified: | 04 Mar 2024 17:54 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/74741 |
| DOI: | 10.1038/s41597-020-0453-3 |
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