HDF5 file, superblock version 0
group /
	attribute Conventions = "CF-1.9"
	attribute cdm_data_type = "Grid"
	attribute comment = "The following auxiliary data sets are used for product generation: i) ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map . ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693), each aggregated to the product grid size. This layer is used to apply a forest canopy correction and estimate the fractional snow cover on ground."
	attribute creator_email = "snow_CCI_AVHRR@giub.unibe.ch"
	attribute creator_name = "Remote Sensing Research Group"
	attribute creator_url = "http://giub.unibe.ch"
	attribute date_created = "20211114T154600Z"
	attribute doi = "10.5285/3f034f4a08854eb59d58e1fa92d207b6"
	attribute format_version = "CCI Data Standards v2.3"
	attribute geospatial_lat_max = "90"
	attribute geospatial_lat_min = "-90"
	attribute geospatial_lat_resolution = "0.05"
	attribute geospatial_lat_units = "degrees_north"
	attribute geospatial_lon_max = "180"
	attribute geospatial_lon_min = "-180"
	attribute geospatial_lon_resolution = "0.05"
	attribute geospatial_lon_units = "degrees_east"
	attribute geospatial_vertical_max = "0"
	attribute geospatial_vertical_min = "0"
	attribute history = "20211114T154600Z: ESA snow_cci SCF processing line (Revision: 203), version 2.0"
	attribute id = "20130127-ESACCI-L3C_SNOW-SCFG-AVHRR_MERGED-fv2.0.nc"
	attribute institution = "Remote Sensing Research Group, Institute of Geography, University of Bern, Switzerland"
	attribute key_variables = "scfg"
	attribute keywords = "snow, cover, AVHRR"
	attribute keywords_vocabulary = "NASA Global Change Master Directory (GCMD) Science Keywords, Version 10.1"
	attribute license = "ESA CCI Data Policy: free and open access"
	attribute naming_authority = "ch.unibe"
	attribute platform = "NOAA-19"
	attribute product_version = "2.0"
	attribute project = "Climate Change Initiative - European Space Agency"
	attribute references = "http://snow-cci.enveo.at/"
	attribute sensor = "AVHRR"
	attribute source = "AVHRR_NOAA-19_GAC mosaic from ESA Cloud CCI project"
	attribute spatial_resolution = "0.05 degree"
	attribute standard_name_vocabulary = "CF Standard Name Table v78"
	attribute summary = "The SCFG product provides daily information on snow cover fraction (0 - 100 %) per pixel for global land areas except permanent snow and ice areas with about 5 km pixel size. The product is based on medium resolution optical satellite data. In forested areas, the product provides information on snow on the ground. Clouds are masked using the Cloud CCI v3.0 cloud mask product. The product uncertainty for observed land pixels is provided as unbiased RMSE per pixel in the ancillary variable."
	attribute time_coverage_duration = "P1D"
	attribute time_coverage_end = "20130127T235959Z"
	attribute time_coverage_resolution = "P1D"
	attribute time_coverage_start = "20130127T000000Z"
	attribute title = "ESA CCI snow on ground product level L3C daily from AVHRR"
	attribute tracking_id = "2ecd2dea-ba4c-460b-8fee-deb829e14396"
dataset /lat: float64, shape (3600)
	attribute actual_range = -89.975, 89.975
	attribute axis = "Y"
	attribute bounds = "lat_bnds"
	attribute long_name = "WGS84 latitude coordinates, center of pixel"
	attribute standard_name = "latitude"
	attribute units = "degrees_north"
// lat: first -89.9749984741211, last 89.9749984741211, count 3600
dataset /lat_bnds: float64, shape (3600, 2)
dataset /lon: float64, shape (7200)
	attribute actual_range = -179.975, 179.975
	attribute axis = "X"
	attribute bounds = "lon_bnds"
	attribute long_name = "WGS84 longitude coordinates, center of pixel"
	attribute standard_name = "longitude"
	attribute units = "degrees_east"
// lon: first -179.97500610351562, last 179.97500610351562, count 7200
dataset /lon_bnds: float64, shape (7200, 2)
dataset /nv: float32, shape (2)
dataset /scfg: uint8, shape (1, 3600, 7200)
	attribute _FillValue = 255
	attribute actual_range = 0, 100
	attribute ancillary_variables = "scfg_unc"
	attribute flag_meanings = "Cloud Polar_Night_or_Night Water Permanent_Snow_and_Ice No_Satellite_Acquisition"
	attribute flag_values = 205, 206, 210, 215, 254
	attribute grid_mapping = "spatial_ref"
	attribute long_name = "Snow Cover Fraction on Ground"
	attribute missing_value = 255
	attribute standard_name = "surface_snow_area_fraction"
	attribute units = "percent"
	attribute valid_range = 0, 254
dataset /scfg_unc: uint8, shape (1, 3600, 7200)
	attribute _FillValue = 255
	attribute actual_range = 0, 100
	attribute flag_meanings = "Cloud Polar_Night_or_Night Water Permanent_Snow_and_Ice No_Satellite_Acquisition"
	attribute flag_values = 205, 206, 210, 215, 254
	attribute grid_mapping = "spatial_ref"
	attribute long_name = "Unbiased Root Mean Square Error for Snow Cover Fraction on Ground"
	attribute missing_value = 255
	attribute standard_name = "surface_snow_area_fraction standard_error"
	attribute units = "percent"
	attribute valid_range = 0, 254
dataset /spatial_ref: int32, shape ()
	attribute GeoTransform = "-180 0.05 0 90 0 -0.05"
	attribute grid_mapping_name = "latitude_longitude"
	attribute inverse_flattening = 298.257223563
	attribute longitude_of_prime_meridian = 0.0
	attribute semi_major_axis = 6378137.0
	attribute spatial_ref = "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]]"
dataset /time: float32, shape (1)
	attribute axis = "T"
	attribute calendar = "standard"
	attribute long_name = "time"
	attribute standard_name = "time"
	attribute units = "hours since 1950-01-01 00:00:00"