To help users to improve S2S CMA MARS requests performance via the WebAPI.

A good understanding of the MARS efficiency issues is essential especially for users that are interested in downloading large amounts of data.

In general it is organised, as a huge tree, with the indentation below, showing different levels down that tree:

• centre (CMA, ECMWF, NCEP, JMA, ...)
  • realtime or reforecast
    •  type of data (control forecast or perturbed forecast)
      • type of level (single level or pressure level or potential  temperature)
        • model version date (2014-05-01 or ...)
          
          • hindcast dates (2014-01-01 or 2014-01-02 or 2014-01-03, ...)
            •  time-steps
              • members (for perturbed forecast)
                • levels (for pl or pt)
                  • parameters

The idea is to request as much data as possible from the same tape file. The natural way to group requests would be:
all parameters, all levels, all members, all time-steps for 1 hindcast date for a type of level for a type

Note the following:

1. 'all' means 'all' that the user wants. It doesn't have to be all parameters.
2. If a user is interested only on z500,  he may request more hindcast dates in one go, since the overall request will not be so big.

The best approach is to iterate over the hindcastYears. For each hindcastYear iterate over all the available hindcastMonths and for each hindcastMonth iterate over all the available hindcastDays.

At this point you may wish to check CMA availability and to view a CMA request

for hindcastYear in hindcastYears
    for hindcastMonth in hindcastMonths        
        for hindcastDay in hindcastDays             
            hindcastDate = HindcastYear-hindcastMonth-hindcastDay               
                S2S-request(hindcastDate)

The request below is for all members of the perturbed forecast, 10 meter U and V wind components, for all time-steps and for model version 2014-05-01

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
modelVersionDate = "2014-05-01"  # This is the first model version for CMA (babj)
hindcastDate = "2014-04-01"      # The selected hindcast date
server = ECMWFDataServer()
server.retrieve({
    "class": "s2",
    "dataset": "s2s",
    "date": modelVersionDate,
    "expver": "prod",
    "hdate": hindcastDate, 
    "levtype": "sfc",
    "origin": "babj",
    "param": "165/166",
    "step": "24/to/1440/by/24",
    "stream": "enfh",
    "target": "data.pf.sfc",
    "time": "00",
    "number": "1/2/3",
    "type": "pf",
})

• The objective of this example is to demonstrate how to make a request efficient by iterating properly over several hindcastYears, hindcastMonths and hindcastDays
• It can be used as a starting point however you need to adapt it to your needs eg to set the keyword values (eg hindcastYear)  according to your needs,
• In this way you can extend this request to download the whole S2S CMA reforecast,  but don't forget to check CMA availability

 Please note: use the variable "target"  to write each hindcastDate on a separate file .

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
def retrieve_data(hindcastDate,modelVersionDate,centre):
    target = "target_s2s_%s_%s.grb" % centre % hindcastDate
    server.retrieve({
       "class": "s2",
       "dataset": "s2s",
       "date": modelVersionDate,
       "expver": "prod",
       "hdate": hindcastDate,
       "levtype": "sfc",
       "origin": centre,
       "param": "165",
       "step": "0",
       "stream": "enfh",
       "target": target,
       "time": "00",
       "type": "cf",
})

for hindcastYear in ["2012", "2013"]:
    for hindcastMonth in ["08", "09"]:
		 for hindcastDay in ["01" "02" ]:
            hindcastDate = hindcastYear+hindcastMonth+hindcastDay
            retrieve_data(hindcastDate,"2014-05-01","babj")

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer

server = ECMWFDataServer()
origin = "babj"
modelVersionDate = "2014-05-01"
hindcastDate = "2014-04-01"
hindcastYearList = ["2012", "2013"]
hindcastMonthList = ["08", "09"]
hindcastDayList = ["01" "02"]

def retrieve_data(hindcastDate):
    target = "target_s2s_%s_%s.grb" % (origin, hindcastDate)
    server.retrieve({
        "class": "s2",
        "dataset": "s2s",
        "date": "2014-05-01",
        "expver": "prod",
        "hdate": hindcastDate,
        "levtype": "sfc",
        "origin": "babj",
        "param": "165",
        "step": "0",
        "stream": "enfh",
        "target": target,
        "time": "00",
        "type": "cf",
    })

def iterate():
    for hindcastYear in ["2012", "2013"]:
        for hindcastMonth in ["08", "09"]:
            for hindcastDay in ["01", "02"]:
                hindcastDate = hindcastYear + hindcastMonth + hindcastDay
                retrieve_data(hindcastDate)

if __name__ == '__main__':
    iterate()

for hindcastYear in ["2012", "2013"]:
    for hindcastMonth in ["08", "09"]:
         if hindcastMonth in ["01", "03", "05", "07", "08", "10", "12"]: hindcastDateEnd = "31"
         if hindcastMonth in [ "04", "06", "09", "11"]: hindcastDateEnd = "30"
         for hindcastDay in ["01" ... hindcastDateEnd ]:
            hindcastDate = hindcastYear+hindcastMonth+hindcastDay
            retrieve_data(hindcastDate,"2014-05-01","babj")

for hindcastYear in ["2012", "2013"]:
    for hindcastMonth in ["08", "09"]:
         for hindcastDay in ["01"  "06" "11" "16" "21" "26"]:
            hindcastDate = hindcastYear+hindcastMonth+hindcastDay
            retrieve_data(hindcastDate,"2014-01-01","ammc")