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Thank you, I have resolved the issue. GraphCast requires the 'landmask' variable to be provided in the GRIB file, which I had not provided. Thank you for your response.
But running this large model requires a significant amount of memory compared to other major meteorological models, and my computer is not quite up to the task.
Curious to know how did you use --file option from graphcast or any other model. If I download ERA5, I get surface pressure levels and pressure levels separately. Did you combine these two files somehow?
Curious to know how did you use --file option from graphcast or any other model. If I download ERA5, I get surface pressure levels and pressure levels separately. Did you combine these two files somehow?
No need to combine,you can repalce the [--input cds] by this option:
[--file '../FourcastNet_*.grib']
2024-04-14 17:12:09,858 INFO Building model: 0.6 second.
2024-04-14 17:12:50,841 INFO Creating forcing variables: 40 seconds.
2024-04-14 17:13:01,958 INFO Converting GRIB to xarray: 11 seconds.
2024-04-14 17:13:13,666 INFO Reindexing: 11 seconds.
2024-04-14 17:13:14,930 INFO Creating training data: 1 minute 5 seconds.
2024-04-14 17:13:38,654 INFO Extracting input targets: 23 seconds.
2024-04-14 17:13:38,655 INFO Creating input data (total): 1 minute 28 seconds.
2024-04-14 17:13:38,655 INFO Total time: 1 minute 39 seconds.
Traceback (most recent call last):
File "/data1/home/songrj/anaconda3/envs/am/lib/python3.10/site-packages/xarray/core/dataset.py", line 1408, in _copy_listed
variables[name] = self._variables[name]
KeyError: 'geopotential_at_surface'
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