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3 results found for "*:*"
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HadEX-CAM dataset: original and deep learning infilled TX90p, TN90p, TX10p, TN10p ETCCDI Indices (CLINT H2020)
Identifier
doi:10.26050/WDCC/HadEX-CAM
Summary
The HadEX-CAM dataset contains four land-based extreme indices (TX90p, TN90p, TX10p, TN10p) for the European region. The original dataset (containing missing values) has been created by the MetOffice by
Project
CLINT (Climate Intelligence)
Authors
Plésiat, Étienne; Dunn, Robert J. H.; Donat, Markus; Kadow, Christopher
Creation Date
2025-05-23
Temporal Coverage
1901-01 TO 2018-12
Spatial Coverage
Longitude: -10.00, 48.00 Latitude: 32.00, 71.00
Status
completely archived
[Entry acronym: HadEX-CAM] [Entry id: 5285844] [ Score: 22.567785]
Annual ETCCDI Extreme Indices For ICON-Sapphire And IFS-FESOM (nextGEMS Cycle 4)
Identifier
doi:10.26050/WDCC/nextGEMS_ExtrInd
Summary
ETCCDI indices calculated from two km-scale global models developed within the nextGEMS project (https://nextgems-h2020.eu/): ICON-Sapphire (Hohenegger et al. 2023) and IFS-FESOM (Rackow et al. 2025).
Project
CLICCS (Cluster of Excellence “Climate, Climatic Change, and Society”)
Authors
Brunner, Lukas
Creation Date
2025-05-21
Temporal Coverage
2021-01 TO 2049-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
Status
completely archived
[Entry acronym: nextGEMS_ExtrInd] [Entry id: 5285837] [ Score: 22.563309]
HADEX : global climate extremes indices
Identifier
hdl:21.14106/3f732c6fadece4a053c06d01982d0ba9e69a126b
Summary
HadEX is a global land-based climate extremes dataset produced through the coordination of the joint WMO CCl/CLIVAR Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI). It comprises
Project
IPCC-DDC_AR4 (IPCC Data Distribution Centre : Fourth Assessment Report data sets)
Authors
Alexander, Lisa V.; Caesar, John
Creation Date
2006-11-23
Temporal Coverage
1951-01 TO 2003-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
Status
completely archived
[Entry acronym: HADEX] [Entry id: 2130073] [ Score: 16.740147]
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