Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

Версия 4 многовариантного ежемесячного высокоразрешённого гридированного климатического набора данных CRU TS
P. D. Jones, Ian Harris, Timothy J. Osborn, David Lister
2020-04-03

0.5° gridCRU TS v4angular-distance weighting (ADW)high-resolution gridded climate datasetmonthly climate anomalies
CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° 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.
1
ADW enables more informative diagnostics for users to assess geographic variations in dataset quality.
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CRU TS v4 incorporates additional station observations and will be updated annually.
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CRU TS v4 is a major new version of the CRU TS monthly high-resolution gridded multivariate climate dataset spanning 1901–2018.
4
Production of secondary variables was revised to better suit the ADW interpolation approach.
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The ADW implementation improves traceability between each gridded value and the input observations.
6
The interpolation method was changed to angular-distance weighting (ADW).

CRU TS v4 high-resolution monthly gridded multivariate climate dataset (0.5°×0.5° land grid, 1901–2018)

Construction and methodological changes including extension to 1901–2018, use of angular-distance weighting (ADW) interpolation, revisions to secondary-variable production, and diagnostics/traceability between gridded values and input station observations

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2020-04-03
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P. D. Jones
Ian Harris
Timothy J. Osborn
David Lister
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