I am trying to download relative humidity over a small area on a pressure level basis for several years separately. It was working great during the weekend (3-6 January), each request took around 10 minutes. But since Tuesday 7 January the requests are taking several hours to complete, and I am also having connection issues like:
Recovering from HTTP error [500 Internal Server Error], attemps 1 of 500
Retrying in 120 seconds
Is there some issue with the service or is my user just getting low priority for some reason?
My requests look like this:
import cdsapi
dataset = "reanalysis-era5-pressure-levels"
request = {
"product_type": ["reanalysis"],
"variable": ["relative_humidity"],
"year": ["2018"],
"month": [
"01", "02", "03",
"04", "05", "06",
"07", "08", "09",
"10", "11", "12"
],
"day": [
"01", "02", "03",
"04", "05", "06",
"07", "08", "09",
"10", "11", "12",
"13", "14", "15",
"16", "17", "18",
"19", "20", "21",
"22", "23", "24",
"25", "26", "27",
"28", "29", "30",
"31"
],
"time": [
"00:00", "01:00", "02:00",
"03:00", "04:00", "05:00",
"06:00", "07:00", "08:00",
"09:00", "10:00", "11:00",
"12:00", "13:00", "14:00",
"15:00", "16:00", "17:00",
"18:00", "19:00", "20:00",
"21:00", "22:00", "23:00"
],
"pressure_level": ["550"],
"data_format": "netcdf",
"download_format": "unarchived",
"area": [54.5, 11, 51, 16.75]
}
client = cdsapi.Client()
client.retrieve(dataset, request).download()