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CLINT (Climate Intelligence)

Project

Summary: Tropical cyclones, heatwaves and extreme droughts are examples of extreme climate events that are difficult to predict. Climate change has increased the likelihood and severity of such events, and predicting
Project: CLINT (Climate Intelligence)
Creation Date: 2025-05-23

[Entry acronym: CLINT] [Entry id: -2000288] [ Score: 32.218174]

HadEX-CAM dataset: original and deep learning infilled TX90p, TN90p, TX10p, TN10p ETCCDI Indices (CLINT H2020)

DOI Experiment

extrem indices machine learning observational data

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: 22.650328]

DL-infilled HadEX-CAM dataset (CLINT H2020)

Dataset

Summary

The infilled HadEX-CAM dataset contains four land-based extreme indices (TX90p, TN90p, TX10p, TN10p) for the European region. It contains the original data from the non-infilled HadEX-CAM dataset as well

Project

CLINT (Climate Intelligence)

Variables

Amount of warm nights
Amount of hot days
Amount of cold nights
Amount of cool days

Aggregation

monthly

Creation Date

2025-05-23

Temporal Coverage

1901-01 TO 2018-12

Spatial Coverage

Longitude: -10.00, 48.00 Latitude: 32.00, 71.00

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Status

completely archived

Datasize

22.28 MiB (23357616 Byte)

Format

NetCDF

[Entry acronym: HadEX-CAM_DL-infilled] [Entry id: 5285846] [ Score: 1.9593546]

Original HadEX-CAM dataset (CLINT H2020)

Dataset

Summary

The original HadEX-CAM dataset contains four land-based extreme indices (TX90p, TN90p, TX10p, TN10p) for the European region. This dataset has been created by the MetOffice by aggregating station data

Project

CLINT (Climate Intelligence)

Variables

Amount of warm nights
Amount of hot days
Amount of cold nights
Amount of cool days

Aggregation

monthly

Creation Date

2025-05-23

Temporal Coverage

1901-01 TO 2018-12

Spatial Coverage

Longitude: -10.00, 48.00 Latitude: 32.00, 71.00

License

Open Government Licence for public sector information

Status

completely archived

Datasize

22.59 MiB (23682959 Byte)

Format

NetCDF

[Entry acronym: HadEX-CAM_original] [Entry id: 5285845] [ Score: 1.9593546]

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