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)
Author:
maru
Comment:

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  • udg/ecoms/dataserver/interfaces/python

    v3 v4  
    2525* `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.
    2626
    27 The output returned by the function consists of a list with the following elements providing the necessary information for data representation and analysis:
     27The 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:
    2828
    29 * `VarName`: Character string indicating the variable long name, as defined in the vocabulary (see Table above)
    30 * `VarUnits`: Character string. Units of the variable, as returned in `MemberData`
    31 * `TimeStep`: A `difftime` class object. Indicates the time span of each forecast time
     29* `ud.short_name`: Character string indicating the variable short name, as defined in the vocabulary (see Table above).
     30* `ud.units`: Unicode text. Units of the variable.
     31* `ud.times`: An array of datetime objects. Indicates the time span of each forecast time.
    3232* `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
    3333* `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.