Cube loads with less variables #293
Description
I am opening a cube from a location of the FluxNetEO data set and it seems that some variables are missing
c = Cube(filename_modis)YAXArray with the following dimensions
lon_pixel Axis with 10 Elements from -5.0 to 4.0
lat_pixel Axis with 10 Elements from 5.0 to -4.0
time Axis with 7671 Elements from 2000-01-01T00:00:00 to 2020-12-31T00:00:00
Variable Axis with 55 elements: BLUE_gapfilltype GREEN .. LST_AQUA_Night NDVI_gapfilltype
Total size: 321.89 MB
xr.open_dataset(MODIS_path)<xarray.Dataset>
Dimensions: (lat_pixel: 10, lon_pixel: 10, time: 7671)
Coordinates:
* lat_pixel (lat_pixel) float64 5.0 4.0 ... -3.0 -4.0
* lon_pixel (lon_pixel) float64 -5.0 -4.0 ... 3.0 4.0
* time (time) datetime64[ns] 2000-01-01 ... 2...
Data variables: (12/61)
EVI (time, lat_pixel, lon_pixel) float64 ...
EVI_gapfilltype (time, lat_pixel, lon_pixel) float64 ...
NDVI (time, lat_pixel, lon_pixel) float64 ...
NDVI_gapfilltype (time, lat_pixel, lon_pixel) float64 ...
NIRv (time, lat_pixel, lon_pixel) float64 ...
NIRv_gapfilltype (time, lat_pixel, lon_pixel) float64 ...
... ...
LST_gapfilltype_TERRA_Night_VZA40 (time, lat_pixel, lon_pixel) float64 ...
LST_AQUA_Night_VZA40 (time, lat_pixel, lon_pixel) float64 ...
LST_gapfilltype_AQUA_Night_VZA40 (time, lat_pixel, lon_pixel) float64 ...
latitude_1000m (lat_pixel, lon_pixel) float64 ...
longitude_1000m (lat_pixel, lon_pixel) float64 ...
dist_from_tower_1000m (lat_pixel, lon_pixel) float64 ...
Attributes:
site_ID: DE-Har
institution: MPI-BGC
product: FluxnetEO
site_coordinates: 47.93439865, 7.600999832
version: 1.0
processed_by: Sophia Walther ([email protected], Ulrich...
reference: Walther, S. - Technical note: A view from space on glo...
The variables loaded using EarthDataLab are 55 while the variables in xarray are 61. The missing variables are the only ones not in the (time, lat_pixel, lon_pixel) format it seems
Is this expected? If so what can I do to also load the missing variables?