H2o_column_uncertainty (sounding_dim) float32.
Longitude_corners (sounding_dim, corners_dim) float32. Latitude_corners (sounding_dim, corners_dim) float32. Xco_averaging_kernel (sounding_dim, layer_dim) float32. Ĭo_profile_apriori (sounding_dim, layer_dim) float32. Xch4_averaging_kernel (sounding_dim, layer_dim) float32. Ĭh4_profile_apriori (sounding_dim, layer_dim) float32. Pressure_weight (sounding_dim, layer_dim) float32. Pressure_levels (sounding_dim, level_dim) float32. Īzimuth_difference (sounding_dim) float32. Sensor_zenith_angle (sounding_dim) float32. Solar_zenith_angle (sounding_dim) float32. The code and the output is given as: import xarray as xrĭs=xr.open_dataset('ESACCI-GHG-L2-CH4-CO-TROPOMI-WFMD-20200430-fv1.nc')ĭimensions: (corners_dim: 4, layer_dim: 20, level_dim: 21, sounding_dim: 549041)ĭimensions without coordinates: corners_dim, layer_dim, level_dim, sounding_dim
I am somewhat new to Xarray, so any help would be greatly appreciate. I would assume that I could define a new structure for a given time: I would like to plot a map of 'xch4' as function of latitude and longitude for a given time. I am working on the same data and have some problems understanding the format. This is a follow up question to the following question: How to process the Time variables of OCO-2/Tropomi NETCDF4 files using Xarray?
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