wdc-climate.de:5285844 eng; USA collection HadEX-CAM Dr. Étienne Plésiat Deutsches Klimarechenzentrum https://www.dkrz.de pointOfContact 2025-05-23T11:32:28 ISO 19115 ISO 19115-2:2009 HadEX-CAM dataset: original and deep learning infilled TX90p, TN90p, TX10p, TN10p ETCCDI Indices (CLINT H2020) 2025-06-04 publication 1 HadEX-CAM doi:10.26050/WDCC/HadEX-CAM Dr. Étienne Plésiat Deutsches Klimarechenzentrum https://www.dkrz.de Email: plesiat@dkrz.de principalInvestigator Dr. Étienne Plésiat Deutsches Klimarechenzentrum https://www.dkrz.de Email: plesiat@dkrz.de author Robert J. H. Dunn Met Office (HC) http://www.metoffice.gov.uk/ Email: robert.dunn@metoffice.gov.uk author Markus Donat Barcelona Supercomputing Center - Centro Nacional de Supercomputación not filled Email: markus.donat@bsc.es author Dr. Christopher Kadow Deutsches Klimarechenzentrum http://www.dkrz.de/ Email: kadow@dkrz.de author WDCC publisher 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 aggregating station data using the Climate Anomaly Method (CAM). The infilled version of this dataset has been created by DKRZ by applying a deep learning (DL) model based on U-Net architecture and trained on CMIP6 data (see https://www.nature.com/articles/s41467-024-53464-2). The original HadEX-CAM dataset is distributed under the Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. The DL-infilled HadEX-CAM dataset is distributed under the Creative Commons Attribution 4.0 International license. Dr. Étienne Plésiat Deutsches Klimarechenzentrum https://www.dkrz.de pointOfContact NetCDF extrem indices machine learning observational data OGL-UK-3.0: Open Government Licence for public sector information https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ eng; USA -10.3125 47.8125 31.875 70.625 1901-01-01 2018-12-01 info:eu-repo/grantAgreement/EC/H2020/101003876/BE//CLImate INTelligence: Extreme events detection, attribution and adaptation design using machine learning Amount of cool days not filled; unit: % Amount of hot days not filled; unit: % Amount of cold nights not filled; unit: % Amount of warm nights not filled; unit: % NetCDF 47 https://www.wdc-climate.de/ui/entry?acronym=HadEX-CAM information collection