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How is the TIGGE data organised in MARS?
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In general it is organised, as a huge tree, with the indentation below, showing different levels down that tree:
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Best practise to iterate over all all dates and all times for for a particular level type (eg Pressure levels)
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The best approach is to iterate over the dates and for each date iterate over the times. |
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for date in dates |
Web-API examples:
Example 1: Two TIGGE requests (sfc and pl), for some dates, for the same
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'origin
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ie select a set of 'dates' and 'times' and add, add the 'steps', 'origins', 'levels' and 'parameters' that you need.
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#!/usr/bin/env python from ecmwfapi import ECMWFDataServer server = ECMWFDataServer() def retrieve_tigge_data(): dates = ['2014-10-01', '2014-11-01'] times = ['00', '12'] for date in dates: for time in times: target = 'ecmwf_sfc_%s_%s.grb' % (date, time) tigge_pf_sfc_request(date, time, target) target = 'ecmwf_pl_%s_%s.grb' % (date, time) tigge_pf_pl_request(date, time, target) def tigge_pf_pl_request(date, time, target): ''' A TIGGE request for perturbed forecast, pressure level, ECMWF Center. Please note that a subset of the available data is requested below. The cost of this request is xxx fields and xxx GB Change the keywords below to adapt it to your needs. (ie to add more parameters, or numbers etc) ''' server.retrieve({ 'class': 'ti', 'dataset': 'tigge', 'date': date, 'expver': 'prod', 'grid': '0.5/0.5', 'levelist': '200/250/300/500/', 'levtype': 'pl', 'number': '1/TO/10', 'origin': 'ecmf', 'param': '130/131/132/133', 'step': '0/TO/96/BY/12', 'target': target, 'time': time, 'type': 'pf', }) def tigge_pf_sfc_request(date, time, target): ''' A TIGGE request for perturbed forecast, sfc, ECMWF Center. Please note that a subset of the available data is requested below. The cost of this request is xxx fields and xxx GB Change the keywords below to adapt it to your needs. (ie to add more parameters, or numbers etc) ''' server.retrieve({ 'class': 'ti', 'dataset': 'tigge', 'date': date, 'expver': 'prod', 'grid': '0.5/0.5', 'levtype': 'sfc', 'number': '1/TO/10', 'origin': 'ecmf', 'param': '146/147/151/165/166/167/168/176/177', 'step': '0/TO/96/BY/12', 'target': target, 'time': time, 'type': 'pf', }) if __name__ == '__main__': retrieve_tigge_data() |
Example 2: A TIGGE sfc request for some dates, for several
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#!/usr/bin/env python from ecmwfapi import ECMWFDataServer server = ECMWFDataServer() def retrieve_tigge_data(): dates = ['2014-12-01', '2014-12-02'] times = ['00', '12'] for date in dates: for time in times: target = 'tigge_cf_sfc_%s_%s.grb' % (date, time) tigge_cf_sfc_request(date, time, target) def tigge_cf_sfc_request(date, time, target): ''' A TIGGE request for control forecast, sfc, for 3 Centersorigins : ECMWF, JMA and KMA. Keep in mind that if you wish to download the same data, for more than one origins, it is more efficient to request all of them in one go. You can change the keywords below to adapt it to your needs, (ie to add more parameters, or steps, or even more Centersorigins etc), Presumably you need to check the availability of the requested Centersorigins. ''' server.retrieve({ 'class': 'ti', 'dataset': 'tigge', 'date': date, 'expver': 'prod', 'grid': '0.5/0.5', 'levtype': 'sfc', 'origin': 'ecmf/rjtd/rksl', 'param': '167/168', 'step': '0/96/168', 'target': target, 'time': time, 'type': 'cf', }) if __name__ == '__main__': retrieve_tigge_data() |
Useful links
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