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error loading datacube, time dimension mismatched time coordinate #5
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Hello @erikduijm . So the problem is that netcdf files requires all variables to have the same time index so it will not be possible to save two variables with different time extents in the same file.
What you can do instead is load both files into two separate geopandas dataframe and then do a merge later on, for example with these merge functions where you can merge on time and location:
https://geopandas.org/en/stable/docs/user_guide/mergingdata.html
https://stackoverflow.com/questions/73442368/spatial-join-by-geometry-and-time-in-pythongeopandasWhen you say multiple variables what do you mean? I am only collecting a single band, total precipitation
A apologies, I thought you were loading two files. I think the problem is that your timeline is longer than the timeline in the file. So you're asking for all of 2007 data from first of Jan to 31st of Dec
start = "2007-01-01T11:00:00Z"
end = "2007-12-31T11:00:00Z"But the data file doesn't have that many timestamps. Maybe try it for just July and see if that works.
Keep me posted :)
Problem persisted if I just did a single month
While working on part 1 of the fundamentals, under explore more, I tried to load the ERA5 precipitation data to compare with the CEH precipitation data.
All I do is query the ERA5 collection, and save it as a datacube. Then save the datacube as a .nc file and then read it as in the practical tutorial.
`collection_id_era5 = "Global weather (ERA5)"
Define the start and end time for the data query
start = "2007-01-01T11:00:00Z"
end = "2007-12-31T11:00:00Z"
Define the bounding box for the data query
west = -0.48
south = 53.709
east = -0.22
north = 53.812
Define the bands for the data query
bands = ["Total precipitation"]
data_cube = geodn_discovery.query(
collection_id = collection_id_era5,
bands = bands,
temporal_extent = {"start": start, "end": end},
spatial_extent = {"west": west, "south": south, "east": east, "north": north},
)
filename = "total_precip.nc"
geodn_discovery.save(data_cube, filename, force=True)`
This works but I can't then read the file
# the loading fails: path = "data/" + filename x_data_era5 = geodn_discovery.open_datacube(path) x_data_era5Gives the error:
ValueError: conflicting sizes for dimension 'time': length 17474 on the data but length 8737 on coordinate 'time'