# Changes between Version 3 and Version 4 of udg/ecoms/dataserver/interfaces/python

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Timestamp:
Apr 18, 2013 5:36:23 PM (9 years ago)
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 v3 * leadMonth: Lead month forecast time corresponding to the first month of the specified season. Note that leadMonth = 1 for season = [1] (January) corresponds to the December initialization forecasts. In this way the effect of the lead time forecast in the analysis of a particular season can be analyzed by just changing this parameter. The output returned by the function consists of a list with the following elements providing the necessary information for data representation and analysis: The output returned by the function consists of a list of user data objects (one for each member that we have loaded) with the following methods that provide the necessary information for data representation and analysis: * VarName: Character string indicating the variable long name, as defined in the vocabulary (see Table above) * VarUnits: Character string. Units of the variable, as returned in MemberData * TimeStep: A difftime class object. Indicates the time span of each forecast time * ud.short_name: Character string indicating the variable short name, as defined in the vocabulary (see Table above). * ud.units: Unicode text. Units of the variable. * ud.times: An array of datetime objects. Indicates the time span of each forecast time. * MemberData: This is a list of length ''n'', where ''n'' = number of members of the ensemble selected by the member argument. Each element of the dataset is a 2-D matrix of ''i'' rows x ''j'' columns, of ''i'' forecast times and ''j'' grid-points * LatLonCoords: A 2-D matrix of ''j'' rows (where ''j'' = number of grid points selected) and two columns corresponding to the latitude and longitude coordinates respectively.