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Real-time forecasts

The NCEP real-time forecasts consist of a 4-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",
 })

3. Re- forecasts ( 4 ensemble members, daily, 1999-2010): 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",
 })

4. Re- forecasts used to calibrate a 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",
})

...