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Examples of data retrieval

1. Real-time forecasts: 1 param, 1 date

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#!/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": "ecmf",
    "param": "165",
    "step": "0/24to/48768/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768by/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": "ecmf",
    "param": "165",
    "step": "0/24to/48768/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768by/24",
    "stream": "enfo",
    "target": "CHANGEME",
    "time": "00", 
     "number": "1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50",
    "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.

to/50",
    "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": "2015-01-01/2015-01-05/2015-01-08/2015-01-12/2015-01-15/2015-01-19/2015-01-22/2015-01-26/2015-01-29",
    "expver": "prod#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
    "class": "s2",
    "datasetlevtype": "s2ssfc",
    "dateorigin": "2015-01-01/2015-01-05/2015-01-08/2015-01-12/2015-01-15/2015-01-19/2015-01-22/2015-01-26/2015-01-29ecmf",
    "expverparam": "prod165",
    "levtypestep": "sfc"0/to/768/by/24",
    "originstream": "enfo",
    "target": "ecmfCHANGEME",
    "paramtime": "16500",
    "steptype": "cf",
})

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({"0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768",
    "streamclass": "enfos2",
    "targetdataset": "CHANGEMEs2s",
    "timedate": "002015-01-01/2015-01-05/2015-01-08/2015-01-12/2015-01-15/2015-01-19/2015-01-22/2015-01-26/2015-01-29",
    "typeexpver": "cfprod",
})#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
 "levtype": "sfc",
    "classorigin": "s2ecmf",
    "datasetparam": "s2s165",
    "date": "2015-01-01/2015-01-05/2015-01-08/2015-01-12/2015-01-15/2015-01-19/2015-01-22/2015-01-26/2015-01-29",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768",
    "stream": "enfo",
    "target": "CHANGEME",
    "time": "00", 
     "number": "1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/step": "0/to/768/by/24",
    "stream": "enfo",
    "target": "CHANGEME",
    "time": "00", 
     "number": "1/to/50",
    "type": "pf",
 })

3. Re- forecasts: 1 param, 1 date

Retrieving  1 field (10m U wind) for all time steps and for the 1st January 2014

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
    "class": "s2",
    "dataset": "s2s",
    "hdate": "2014-01-01",
    "date": "2015-01-01",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/7680/to/768/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": "2014-01-01",
    "date": "2015-01-01",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/7680/to/768/by/24",
    "stream": "enfh",
    "target": "CHANGEME",
    "time": "00", 
     "number": "1/2/3/4",
    "type": "pf",
 })

4. Re- forecasts used to calibrate a Thursday real-time forecast:

Retrieving  1 param (10m U wind) for all time steps and used to calibrate the 1st January 2015 real-time forecast (Thursday).

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
    "class": "s2",
    "dataset": "s2s",
    "hdate": "1995-01-01/1996-01-01/1997-01-01/1998-01-01/1999-01-01/2000-01-01/2001-01-01/2002-01-01/2003-01-01/2004-01-01/2005-01-01/2006-01-01/2007-01-01/2008-01-01/2009-01-01/2010-01-01/2011-01-01/2012-01-01/2013-01-01/2014-01-01",
    "date": "2015-01-01",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/7680/to/768/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": "1995-01-01/1996-01-01/1997-01-01/1998-01-01/1999-01-01/2000-01-01/2001-01-01/2002-01-01/2003-01-01/2004-01-01/2005-01-01/2006-01-01/2007-01-01/2008-01-01/2009-01-01/2010-01-01/2011-01-01/2012-01-01/2013-01-01/2014-01-01",
    "date": "2015-01-01",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768 "param": "165",
    "step": "0/to/768/by/24",
    "stream": "enfh",
    "target": "CHANGEME",
    "number": "1/2/3/4",
    "time": "00",
    "type": "pf",
})

5. Re- forecasts used to calibrate a Monday real-time forecast:

Retrieving  1 param (10m U wind) for all time steps and used to calibrate the 1st 5th January 2015 real-time forecast (monday).forecast (monday). It takes the re-forecast for thursday 1st January and thursday 8th January

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
    "class": "s2",
    "dataset": "s2s",
    "hdate": "1995-01-01/1996-01-01/1997-01-01/1998-01-01/1999-01-01/2000-01-01/2001-01-01/2002-01-01/2003-01-01/2004-01-01/2005-01-01/2006-01-01/2007-01-01/2008-01-01/2009-01-01/2010-01-01/2011-01-01/2012-01-01/2013-01-01/2014-01-01",
    "date": "2015-01-01",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768to/768/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": "1995-01-01/1996-01-01/1997-01-01/1998-01-01/1999-01-01/2000-01-01/2001-01-01/2002-01-01/2003-01-01/2004-01-01/2005-01-01/2006-01-01/2007-01-01/2008-01-01/2009-01-01/2010-01-01/2011-01-01/2012-01-01/2013-01-01/2014-01-01",
    "date": "2015-01-01",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768to/768/by/24",
    "stream": "enfh",
    "target": "CHANGEME",
    "number": "1/2/3/4",
    "time": "00",
    "type": "pf",
})

...

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
    "class": "s2",
    "dataset": "s2s",
    "hdate": "1995-01-08/1996-01-08/1997-01-08/1998-01-08/1999-01-08/2000-01-08/2001-01-08/2002-01-08/2003-01-08/2004-01-08/2005-01-08/2006-01-08/2007-01-08/2008-01-08/2009-01-08/2010-01-08/2011-01-08/2012-01-08/2013-01-08/2014-01-08",
    "date": "2015-01-08",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24to/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768768/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": "1995-01-08/1996-01-08/1997-01-08/1998-01-08/1999-01-08/2000-01-08/2001-01-08/2002-01-08/2003-01-08/2004-01-08/2005-01-08/2006-01-08/2007-01-08/2008-01-08/2009-01-08/2010-01-08/2011-01-08/2012-01-08/2013-01-08/2014-01-08",
    "date": "2015-01-08",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "ecmf",
    "param": "165",
    "step": "0/24to/48768/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768by/24",
    "stream": "enfh",
    "target": "CHANGEME",
    "number": "1/2/3/4",
    "time": "00",
    "type": "pf",
})

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