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#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
    "class": "s2",
    "dataset": "s2s",
    "date": "2015-01-06/2015-01-07/2015-01-13/2015-01-14/2015-01-20/2015-01-21/2015-01-27/2015-01-28",
    "expver": "prod",
    "levtype": "sfc",
    "origin": "rjtd",
    "param": "165",
    "step": "12/to/804/by/24",
    "stream": "enfo",
    "target": "CHANGEME",
    "number": "1/to/24",
    "time": "12",
    "type": "pf",
})

2. Re-forecasts:

        The JMA 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 JMA re-forecasts consist of a   5-member ensemble running three times a month from 1981 to 2010. The start dates correspond to 1st / 11th and 21st of each month at 00Z minus 12 hours (28 February instead of 29 February). here is the complete list of re-forecast start dates:

          10/20/31 January - 10/20/28 February - 10/20/31 March - 10/20/30 April - 10/20/31 May - 10/20/30 June - 10/20/31 July - 10/20/31 August - 10/20/30 September - 10/20/31 October - 10/20/30 November and 10/20/31 December 1981-2010

The S2S database contains the complete JMA re-forecast dataset.

As for the other models, JMA 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 JMA re-forecasts are "fixed" re-forecasts this ModelVersiondate is the same for all the re-forecasts and equal to  20140304. This variable will change when a new version of the JMA model for extended-range forecasts will be implemented.

2.1 case 1: 1 param, 1 date

Retrieving one field (10 meter U wind here) for all time steps and  for the forecast starting on  10 January 1985

2.1.1 Control forecast

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()

server.retrieve({
 "class": "s2",
 "dataset": "s2s",
 "hdate": "1985-01-10",
 "date": "2014-03-04",
 "expver": "prod",
 "levtype": "sfc",
 "origin": "rjtd",
 "param": "165",
 "step": "12/to/804/by/24",
 "stream": "enfh",
 "target": "CHANGEME",
 "time": "12",
 "type": "cf",
})

2.1.2 perturbed forecast

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()

server.retrieve({
 "class": "s2",
 "dataset": "s2s",
 "hdate": "1985-01-10",
 "date": "2014-03-04",
 "expver": "prod",
 "levtype": "sfc",
 "origin": "rjtd",
 "param": "165",
 "step": "12/to/804/by/24",
 "stream": "enfh",
 "target": "CHANGEME",
 "time": "12",
 "number": "1/to/4",
 "type": "pf",
})

2.2. Re- forecasts used to calibrate a real-time forecast

Retrieving all the fields (10 meter U wind here) for all time steps and  used to calibrate the real-time forecast starting on 13 January 2015 (all re-forecasts starting on 10 January and 20 January 1981-2010)

2.2.1 Control forecast

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2.2.2 Perturbed forecast

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