HDF5 file, superblock version 2
group /
	attribute coordinates = "forecast_issue_date forecast_period_end forecast_period_start height"
dataset /__xarray_dataarray_variable__: float64, shape (5, 121, 240)
	attribute Conventions = "CF-1.6"
	attribute _FillValue = nan
	attribute cell_methods = "time: mean (interval: 6 hours)"
	attribute coordinates = "latitude longitude"
	attribute description = "tas prediction from scienceAI using ngcm for forecasting period 2"
	attribute expver = "scienceAI_03"
	attribute forecast_period_bounds = "[25.0,31.75]"
	attribute forecast_period_bounds_units = "days into forecast"
	attribute modelname = "ngcm"
	attribute originating_centre = "scieAI_03"
	attribute shortName = "t2m"
	attribute standard_name = "2 metre temperature probability"
	attribute teamname = "scienceAI"
	attribute units = "1"
dataset /forecast_issue_date: int64, shape ()
	attribute axis = "T"
	attribute calendar = "proleptic_gregorian"
	attribute long_name = "forecast issue time"
	attribute standard_name = "forecast_issue_time"
	attribute units = "days since 2025-10-02"
dataset /forecast_period_end: int64, shape ()
	attribute axis = "T"
	attribute calendar = "proleptic_gregorian"
	attribute long_name = "forecast period end"
	attribute units = "days since 2025-11-02T18:00:00"
dataset /forecast_period_start: int64, shape ()
	attribute axis = "T"
	attribute calendar = "proleptic_gregorian"
	attribute long_name = "forecast period start"
	attribute units = "days since 2025-10-27"
dataset /height: int64, shape ()
	attribute axis = "Z"
	attribute positive = "up"
	attribute standard_name = "height"
	attribute units = "m"
dataset /latitude: float64, shape (121)
	attribute _FillValue = nan
	attribute axis = "X"
	attribute long_name = "latitude"
	attribute standard_name = "latitude"
	attribute units = "degrees_north"
// latitude: first 90.0, last -90.0, count 121
dataset /longitude: float64, shape (240)
	attribute _FillValue = nan
	attribute axis = "Y"
	attribute long_name = "longitude"
	attribute standard_name = "longitude"
	attribute units = "degrees_east"
// longitude: first 0.0, last 358.5, count 240
dataset /quintile: float64, shape (5)
	attribute _FillValue = nan
// quintile: first 0.2, last 1.0, count 5