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Not only that time, but I have also downloaded many stacks of ERA5 recently (same number of hours, levels, and spatial coverage), they all turned out to be very slow.
After checking the efficiency tips section on CDS documentation, I think our current way to retrieve data using the CDS API is efficient.
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And the queueing message:
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INFO: You are using the latest ECMWF platform for downloading datasets: https://cds.climate.copernicus.eu/api/v2 Downloading 1 of 27: C:\project\mintpy_output_small\ERA5\ERA5_S40_S20_E120_E140_20170403_21.grb {'product_type': 'reanalysis', 'format': 'grib', 'variable': ['geopotential', 'temperature', 'specific_humidity'], 'pressure_level': ['1', '2', '3', '5', '7', '10', '20', '30', '50', '70', '100', '125', '150', '175', '200', '225', '250', '300', '350', '400', '450', '500', '550', '600', '650', '700', '750', '775', '800', '825', '850', '875', '900', '925', '950', '975', '1000'], 'year': '2017', 'month': '04', 'day': '03', 'time': '21:00', 'area': '-20.00/120.00/-40.00/140.00'} 2022-05-01 18:30:24,627 INFO Welcome to the CDS 2022-05-01 18:30:24,627 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis- era5-pressure-levels 2022-05-01 18:30:24,909 INFO Request is queued |
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