Issue in download model-level forecast data

Software and Tools
1

Hello all,

I am trying to model-level forecast data (parameter: 235001,235002,2335005), and my queue is running now (below code is part of what I use). But its status is held in “running” for long time. When I used same code for the analysis fields such as u, v, and T, it downloaded the variables so fast. Is there issue in my code?

    c.retrieve("reanalysis-era5-complete", {
        "class": "ea",
        "date": date,
        "expver": "1",
        "levelist": "137",
        "levtype": "ml",
        "param": "235001/235002/235005",
        "step": "0/6/12/18",
        "stream": "oper",
        "time": "06:00:00/18:00:00",
        "type": "fc",
        "grid": "1.5/1.5",
        'data_format'  : 'netcdf'
    }, f'{year}{mon:>02}.fc.nc')
2

Hello. Can you be explicit about what is the value of date string here? Thanks

3

It might be that parameters T,u,v were on disk because they are very popular, and the parameters you are requesting now are not so used so they need to be retrieved from the tape which would significantly slow down the request.