Thorne, Peter W; Gillespie, Ian; Haimberger, Leopold; Compo, Gilbert P (2022): Estimates of land surface air temperature changes homogenised using sparse input 20th Century reanalysis product 20CRv3 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.950027
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Published: 2022-11-01 • DOI registered: 2022-12-01
Abstract:
The data consist of 4 frozen gridded estimates as described in Gillespie et al, 2022. The data are presented as 5 degree resolution global fields over 1850-2014. Station data arising from the International Surface Temperature Initiative (ISTI) global databank of monthly holdings have been homogenised using 20CRv3 to identify breakpoints. Four distinct approaches to adjustment have been undertaken resulting in 4 separate estimates of the resulting series. The gridding is a simple gridbox average of any observations available within each 5 degree gridbox. Data is available for those global land areas for which underlying station data are available in teh ISTI holdings.
Related to:
Gillespie, Ian; Haimberger, Leo; Compo, Gilbert P; Thorne, Peter W (2022): Assessing homogeneity of land surface air temperature observations using sparse-input reanalyses. International Journal of Climatology, joc.7822, https://doi.org/10.1002/joc.7822
Coverage:
Median Latitude: 0.000000 * Median Longitude: 0.000000 * South-bound Latitude: -90.000000 * West-bound Longitude: -180.000000 * North-bound Latitude: 90.000000 * East-bound Longitude: 180.000000
Event(s):
Comment:
Gridded data files of different adjustment approaches described in Gillespie et al. All should be CF compliant. All are monthly resolution 5 degree by 5 degree fields.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Thorne, Peter W | |||
| 2 | Binary Object (File Size) | Binary (Size) | Bytes | Thorne, Peter W | ||
| 3 | File content | Content | Thorne, Peter W |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
8 data points
Data
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| 1 Binary | 2 Binary (Size) [Bytes] | 3 Content |
|---|---|---|
| 20CRv3_long.nc | 38.9 MBytes | adjustment approach '20CRv3_long' |
| 20CRv3_short.nc | 38.9 MBytes | adjustment approach '20CRv3_short' |
| Neighbour_segments.nc | 38.9 MBytes | adjustment approach 'Neighbour_segments' |
| Neighbour_doublediffs.nc | 38.9 MBytes | adjustment approach 'Neighbour_doublediffs' |