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Downloading these data is rather straight forward using the CDS web interface. The registered user needs to tick a few boxes to specify the index, period of interest and type of data, then click on a `Download' button. For larger data requests, the use of the CDS API is recommended. Below an example script is provided.
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import cdsapi c = cdsapi.Client() c.retrieve( 'cems-fire-seasonal-reforecast', { 'format': 'grib', 'variable': 'fire_dailyweather_severity_ratingindex', 'system_version': '4_1', 'year': '1985', 'month': '09', 'leadtime_hour': [ '12', '36', '1020''60', '84', '108', '132', '156', '180', '204', '228', '252', '276', '300', '324', '348', '372', '396', '420', '444', '468', '492', '516', '540', '564', '588', '612', '636', '660', '684', '708', ], }, 'download.grib') |
Plotting data using the CDS toolbox
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