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Data headers for 'HadEX-CAM_DL-infilled'
Record


Generation date
2025-05-23
Method
ncdump -h
Header
netcdf HadEX-CAM_ML-infilled_1_18395825477017072686 {
dimensions:
longitude = 32 ;
latitude = 32 ;
time = 1416 ;
variables:
double longitude(longitude) ;
longitude:_FillValue = NaN ;
longitude:standard_name = "longitude" ;
longitude:long_name = "longitudes of grid box centres" ;
longitude:units = "degrees_east" ;
longitude:axis = "X" ;
longitude:bounds = "longitude_bnds" ;
double latitude(latitude) ;
latitude:_FillValue = NaN ;
latitude:standard_name = "latitude" ;
latitude:long_name = "latitude of grid box centres" ;
latitude:units = "degrees_north" ;
latitude:axis = "Y" ;
latitude:bounds = "latitude_bnds" ;
int64 time(time) ;
time:standard_name = "time" ;
time:axis = "T" ;
time:units = "days since 1901-01-01" ;
time:calendar = "proleptic_gregorian" ;
float TN10p(time, latitude, longitude) ;
TN10p:_FillValue = NaNf ;
TN10p:long_name = "Amount of cold nights" ;
TN10p:units = "%" ;
TN10p:FillValue = -99.9 ;
TN10p:definition = "Percentage of days when TN < 10th percentile" ;
TN10p:team = "ETCCDI" ;

// global attributes:
:source = "HadEX-CAM data product" ;
:institution = "Deutsches Klimarechenzentrum, Hamburg, Germany; Met Office Hadley Centre, Exeter, UK" ;
:references = "Plesiat et al. 2024, Artificial Intelligence Reveals Past Climate Extremes by Reconstructing Historical Records, Nature Communications, https://doi.org/10.1038/s41467-024-53464-2" ;
:creator_email = "
 plesiat@nulldkrz.de
,
 robert.dunn@nullmetoffice.gov.uk
" ;
:keywords = "extremes indices, gridded, temperature, precipitation, ETCCDI" ;
:summary = "Gridded dataset of extremes indices" ;
:hadex_version = "3.0.4" ;
:CDI = "Climate Data Interface version 2.0.4 (https://mpimet.mpg.de/cdi)" ;
:Conventions = "CF-1.6" ;
:title = "ML-infilled HadEX-CAM TN10p" ;
:creator = "Etienne Plesiat, Robert J. H. Dunn, Markus Donat, Christopher Kadow" ;
:license = "The data are distributed under the Creative Commons Attribution 4.0 International licence. The data are available for use with attribution to the data providers. Please cite Dunn et al (2020) and Plesiat et al (2024) and state the version used. This product may contain data which are governed by WMO Policy following WMO Resolution 40 Annex 1 alongside additional data that may have restrictions placed on their commercial use by the data owners. Any redistribution of this product should be accompanied by a similar statement of usage policy." ;
:acknowledgement = "EP, MD and CK acknowledge the Horizon Europe project EXPECT (Towards an Integrated Capability to Explain and Predict Regional Climate Changes) under Grant Agreement 101137656. EP and CK acknowledge the Horizon 2020 project CLINT (Climate Intelligence: Extreme events detection, attribution and adaptation design using machine learning) under Grant Agreement 101003876. M.G.D. acknowledges additional support from the Horizon2020 LANDMARC project (Grant 869367) and the AXA Research Fund. RJHD was supported by Met Office Hadley Centre Climate Programme funded by BEIS and Defra, and the Met Office Climate Science for Service Partnership (CSSP) China project under the International Science Partnerships Fund (ISPF)" ;
:creation_date = "Tue May 7, 10:00 2024" ;
:Metadata_Conventions = "Unidata Dataset Discovery v1.0,CF Discrete Sampling Geometries Conventions" ;
:geospatial_lat_resolution = "1.25" ;
:geospatial_lon_resolution = "1.875" ;
:time_coverage_resolution = "Monthly" ;
:CDO = "Climate Data Operators version 2.0.4 (https://mpimet.mpg.de/cdo)" ;
:history = "Fri May 23 09:04:17 2025: ncatted -a standard_name,TN10p,d,, outs/crai_TN10p_mon-eu-32x32_hadexcam_infilled_all-avg_1901-2018.nc" ;
:NCO = "netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)" ;
}