Hi. I am working on seasonal forecast recently and found seasonal hindcast data on CDS. But I found that downloading seasonal forecast data on pressure levels always took dozens of hours to process. For example, here is the API request:
Originating centre:
CMCC
System:
3
Variable:
Geopotential
Pressure level:
500 hPa
Product type:
Monthly mean
Year:
1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016
Month:
January, February, March, April, May, June, July, August, September, October, November, December
Leadtime month:
1, 2, 3, 4, 5, 6
Whole available region:
Format:
GRIB
It has been "in process" for 20 hours and I even don't know when it will finish. However, it seems that variables on surface level, such as precipitation, MSLP is significantly faster to be prepared. Is there any trick to speed up downloading data on pressure levels? Do I need to split the dataset by years or months, or select more levels or variables to avoid the time of abstracting data?
Thank you!