Dataset
CRU CY4.01: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.01 (Jan. 1901 - Dec. 2016)
Abstract
The Climatic Research Unit (CRU) Country (CY) data version 4.01 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.
This dataset was produced in 2017 by CRU at the University of East Anglia and extends the CRU CY4.00 data to include 2016. CRU CY4.01 is a full release, differing only in methodology from the existing current version 3 release, v3.25. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. The data are available as text files with the extension '.per' and can be opened by most text editors.
Spatial averages are calculated using area-weighted means. CRU CY4.01 is derived directly from the CRU TS4.01 dataset. CRU CY version 4.01 spans the period 1901-2016 for 289 countries.
To understand the CRU CY4.01 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.01. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.01 release notes listed in the online documentation on this record.
CRU CY data are available for download to all CEDA users.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s): http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
The Climatic Research Unit (CRU) CY data are derived directly from the CRU TS data, and version numbering is matched between the two datasets. The CRU CY data are produced by the CRU unit at the University of East Anglia and passed to the Centre for Environmental Data Analysis (CEDA) for long term archival and distribution. Previous releases of CRU CY include: CRU CY 4.01 data were passed to CEDA for archival and distribution by CRU in September 2017 CRU CY 4.00 data were passed to CEDA for archival and distribution by CRU in March 2017 CRU CY 3.24.01 data files supplied to CEDA for long term archival by CRU in January 2017. The CRU CY 3.24 data were withdrawn by CRU and CEDA in January 2017 due to known issues with the data. CRU CY 3.24 data files supplied to CEDA for long term archival by CRU in October 2016. |
| Data Quality: |
CRU CY data are quality controlled by the Climatic Research Unit (CRU) at the University of East Anglia. Details are given in the paper Harris et al. 2014 and the release notes, links to both can be found in the documentation.
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| File Format: |
The CRU CY data are provided as text files with the extension ".per", most text editors will open these files. See the linked file formats guide for more information.
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Related Documents
Citations: 2
The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.
| Pons, D. & Rao, M.P. (2023) Exploring the potential for a multi-decadal midsummer streamflow reconstruction of the upper Samalá river basin in Guatemala using an Abies guatemalensis tree-ring chronology. Dendrochronologia 78, 126059. https://doi.org/10.1016/j.dendro.2023.126059 https://doi.org/10.1016/j.dendro.2023.126059 |
| Shukla, A., Garg, S., Mehta, M., Kumar, V. & Shukla, U.K. (2020) Temporal inventory of glaciers in the Suru sub-basin, western Himalaya: impacts of regional climate variability. Earth System Science Data 12, 1245–1265. https://doi.org/10.5194/essd-12-1245-2020 https://doi.org/10.5194/essd-12-1245-2020 |
Process overview
| Title | UEA Climatic Research Unit (CRU) high resolution gridding software deployed on UEA CRU computer system for v4.00 |
| Abstract | This computation involved: UEA Climate Research Unit (CRU) High Resolution gridding software deployed on UEA Climate Research Unit (CRU) computer system. For details about the production of CRU TS and CRU CY datasets, please refer to Harris et al. (2020) - see Details/Docs tab, moderated by the Release Notes for v4.00 (which outline the new gridding process) |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
No variables found.
Temporal Range
1901-01-01T00:00:00
2016-12-31T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-60.0000° |