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Data headers for 'HadCRU_MLE_IntVar_v1.2'
Record


Generation date
2024-04-24
Method
ncdump -h
Header
netcdf HadCRU_MLE_IntVar_v1.2_1_7985678774932753558 {
dimensions:
longitude = 72 ;
bound = 2 ;
latitude = 36 ;
internal_variability_pattern = 1 ;
variables:
double longitude(longitude) ;
longitude:long_name = "Longitude" ;
longitude:standard_name = "longitude" ;
longitude:units = "degrees_east" ;
longitude:bounds = "longitude_bounds" ;
double longitude_bounds(bound, longitude) ;
double latitude(latitude) ;
latitude:long_name = "Latitude" ;
latitude:standard_name = "latitude" ;
latitude:units = "degrees_north" ;
latitude:bounds = "latitude_bounds" ;
double latitude_bounds(bound, latitude) ;
double Q(internal_variability_pattern, latitude, longitude) ;
Q:long_name = "Internal Variability Pattern" ;
Q:units = "1" ;
Q:coordinates = "longitude latitude" ;

// global attributes:
:Title = "Spatial patterns of the impact of internal variability on surface temperature" ;
:Contact = "Bruce T. T. Calvert (ORCID ID 0000-0002-1124-9632)" ;
:Conventions = "CF-1.8" ;
:Creation_Date = "2024-03-10 22:41:32" ;
:Creator = "Bruce T. T. Calvert (ORCID ID 0000-0002-1124-9632)" ;
:History = "Created 2024-03-10 22:41:32" ;
:Institution = "No institutional affiliation" ;
:License = "Creative Commons Attribution 4.0 International (CC BY 4.0)" ;
:References = "Calvert, B.T.T. (2024). Improving Global Temperature Datasets to Better Account for Nonuniform Warming. Quarterly Journal of the Royal Meteorological Society." ;
:Source = "Data estimated using the method of empirical orthogonal functions (a type of weighted principal component analysis) and source data primarily consisting of CCSM4 climate model output for the pre-industrial control simulation using ensemble member r1i1p1. Further details are available in the referenced research paper." ;
}