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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.
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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": "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.
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#!/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", }) |
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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.
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- 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
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#!/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", }) |
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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
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