HDF5 file, superblock version 2
group /
	attribute frequencies = 10.6499996, 10.6499996, 18.7000008, 18.7000008, 23.7999992, -9999.0, 36.5, 36.5, 89.0, 89.0, 165.5, 165.5, -9999.0, 186.309998, 190.309998
	attribute preprocessor = "2504c"
	attribute satellite = "GPM"
	attribute sensor = "GMI"
	attribute source = "sim"
dataset /10m_wind: float32, shape (49032)
	attribute _FillValue = nan
dataset /airlifting_index: int8, shape (49032)
dataset /brightness_temperature_biases: int16, shape (49032, 15)
	attribute _FillValue = -32768
	attribute add_offset = 0
	attribute scale_factor = 0.01
dataset /brightness_temperatures: uint16, shape (49032, 15)
	attribute _FillValue = 65535
	attribute add_offset = 1
	attribute scale_factor = 0.01
dataset /channels: float32, shape (15)
dataset /cloud_water_content: float32, shape (49032, 28)
	attribute _FillValue = nan
dataset /cloud_water_path: float32, shape (49032)
	attribute _FillValue = nan
dataset /convective_precip: float32, shape (49032)
	attribute _FillValue = nan
dataset /convective_precipitation: float32, shape (49032)
	attribute _FillValue = nan
dataset /elevation: int32, shape (49032)
dataset /ice_fraction: int8, shape (49032)
dataset /ice_water_path: float32, shape (49032)
	attribute _FillValue = nan
dataset /land_fraction: int8, shape (49032)
dataset /latent_heat: float32, shape (49032, 28)
	attribute _FillValue = nan
dataset /latitude: float32, shape (49032)
	attribute _FillValue = nan
dataset /leaf_area_index: float32, shape (49032)
	attribute _FillValue = nan
dataset /leaf_area_index_climatology: float32, shape (49032)
	attribute _FillValue = nan
dataset /levels: float32, shape (28)
dataset /light_precip: float32, shape (49032)
	attribute _FillValue = nan
dataset /longitude: float32, shape (49032)
	attribute _FillValue = nan
dataset /moisture_convergence: float32, shape (49032)
	attribute _FillValue = nan
dataset /mountain_type: int8, shape (49032)
dataset /orographic_wind: float32, shape (49032)
	attribute _FillValue = nan
dataset /rain_water_content: float32, shape (49032, 28)
	attribute _FillValue = nan
dataset /rain_water_path: float32, shape (49032)
	attribute _FillValue = nan
dataset /samples: float32, shape (49032)
dataset /scan_time: int64, shape (49032)
	attribute calendar = "proleptic_gregorian"
	attribute units = "seconds since 2019-05-16 09:34:47"
dataset /simulated_brightness_temperatures: uint16, shape (49032, 15)
	attribute _FillValue = 65535
	attribute add_offset = 1
	attribute scale_factor = 0.01
dataset /snow_depth: float32, shape (49032)
	attribute _FillValue = nan
dataset /snow_mask: int32, shape (49032)
dataset /snow_water_content: float32, shape (49032, 28)
	attribute _FillValue = nan
dataset /surface_precip: float32, shape (49032)
	attribute _FillValue = nan
dataset /surface_precip_combined: float32, shape (49032)
	attribute _FillValue = nan
dataset /surface_temperature: float32, shape (49032)
	attribute _FillValue = nan
dataset /surface_type: int8, shape (49032)
dataset /total_column_water_vapor: float32, shape (49032)
	attribute _FillValue = nan
dataset /two_meter_temperature: float32, shape (49032)
	attribute _FillValue = nan