Real-time forecasts
The NCEP real-time forecasts consist of a 16-member ensemble run every day. The S2S archive contains all the NCEP real-time forecasts since 1st January 2015.
1. Real-time forecasts: 1 param, 1 date
Retrieving one field (10 meter U wind here) for all time steps and for the forecast starting on 1st January 2015:
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"date": "2015-01-01",
"expver": "prod",
"levtype": "sfc",
"origin": "kwbc",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfo",
"target": "CHANGEME",
"time": "00",
"type": "cf",
})
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"date": "2015-01-01",
"expver": "prod",
"levtype": "sfc",
"origin": "kwbc",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfo",
"target": "CHANGEME",
"time": "00",
"number": "1/to/15",
"type": "pf",
})
2. Real-time forecasts: 1 param, series of dates
Retrieving 1 field (10m U wind) for all time steps and for the whole January 2015.
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"date": "2015-01-01/to/2015-01-31",
"expver": "prod",
"levtype": "sfc",
"origin": "kwbc",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfo",
"target": "CHANGEME",
"time": "00",
"type": "cf",
})
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"date": "2015-01-01/to/2015-01-31",
"expver": "prod",
"levtype": "sfc",
"origin": "ecmf",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfo",
"target": "CHANGEME",
"time": "00",
"number": "1/to/15",
"type": "pf",
})
Re- forecasts
The NCEP re-forecasts dataset is a "fixed" dataset which means that the re-forecasts are produced once from a "frozen" version of the model and are used for a number of years to calibrate real-time forecast.
The NCEP re-forecasts consist of a 4-member ensemble run every day from 1st January 1999 to 31 December 2010. Because of the large volume of this re-forecast dataset, the NCEP re-forecasts are archived on
a daily basis in the S2S database. Each day, the NCEP re-forecasts corresponding to this day from 1999 to 2010 are archived in the S2S database. This means that the complete NCEP re-forecast database will only be available
at the end of 2015.
As for the other models, NCEP re-forecasts are archived in the S2S database with 2 date attributes:
- hdate which corresponds to the actual starting date of the re-forecast
- Date which correspond tot he ModelVersionDate.Since the NCEP re-forecasts are "fixed" re-forecasts this ModelVersiondate is the same for all the re-forecasts and equal to 20110301. This variable will change when a new version of CFS will be implemented.
1 param, 1 date
Retrieving 1 field (10m U wind) for all time steps and for the 1st January 2000
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"hdate": "20000101",
"date": "2011-03-01",
"expver": "prod",
"levtype": "sfc",
"origin": "kwbc",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfh",
"target": "CHANGEME",
"time": "00",
"type": "cf",
})
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"hdate": "2000-01-01",
"date": "2011-03-01",
"expver": "prod",
"levtype": "sfc",
"origin": "kwbc",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfh",
"target": "CHANGEME",
"time": "00",
"number": "1/2/3",
"type": "pf",
})
2. Re- forecasts used to calibrate a real-time forecast:
Retrieving 1 param (10m U wind) for all time steps and used to calibrate the 1st January 2015 real-time forecast
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"hdate": "1999-01-01/2000-01-01/2001-01-01/2002-01-01/2003-01-01/2004-01-01/2005-01-01/2006-01-01/2007-01-01/2008-01-01/2009-01-01/2010-01-01",
"date": "2011-03-01",
"expver": "prod",
"levtype": "sfc",
"origin": "kwbc",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfh",
"target": "CHANGEME",
"time": "00",
"type": "cf",
})
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
"class": "s2",
"dataset": "s2s",
"hdate": "1999-01-01/2000-01-01/2001-01-01/2002-01-01/2003-01-01/2004-01-01/2005-01-01/2006-01-01/2007-01-01/2008-01-01/2009-01-01/2010-01-01",
"date": "2011-03-01",
"expver": "prod",
"levtype": "sfc",
"origin": "kwbc",
"param": "165",
"step": "24/to/1056/by/24",
"stream": "enfh",
"target": "CHANGEME",
"number": "1/2/3",
"time": "00",
"type": "pf",
})