@@ -1056,8 +1056,8 @@ See also :func:`esmvalcore.preprocessor.monthly_statistics`.
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``seasonal_statistics ``
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-----------------------
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- This function produces statistics for each season (default: "( DJF, MAM, JJA,
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- SON)" or custom seasons e.g. "( JJAS, ONDJFMAM)" ) in the dataset. Note that
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+ This function produces statistics for each season (default: `` [ DJF, MAM, JJA,
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+ SON] `` or custom seasons e.g. `` [ JJAS, ONDJFMAM] `` ) in the dataset. Note that
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this function will not check for missing time points. For instance, if you are
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looking at the DJF field, but your datasets starts on January 1st, the first
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DJF field will only contain data from January and February.
@@ -1070,9 +1070,9 @@ Parameters:
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'median', 'std_dev', 'min', 'max', 'sum' and 'rms'. Default is 'mean'
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* seasons: seasons to build statistics.
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- Default is '( DJF, MAM, JJA, SON) '
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+ Default is '[ DJF, MAM, JJA, SON] '
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- See also :func: `esmvalcore.preprocessor.seasonal_mean `.
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+ See also :func: `esmvalcore.preprocessor.seasonal_statistics `.
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.. _annual_statistics :
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@@ -1118,7 +1118,7 @@ Parameters:
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'mon', 'daily', 'day'. Default is 'full'
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* seasons: if period 'seasonal' or 'season' allows to set custom seasons.
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- Default is '( DJF, MAM, JJA, SON) '
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+ Default is '[ DJF, MAM, JJA, SON] '
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Examples:
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* Monthly climatology:
@@ -1240,7 +1240,7 @@ Parameters:
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parameters from extract_time _. Default is null
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* standardize: if true calculate standardized anomalies (default: false)
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* seasons: if period 'seasonal' or 'season' allows to set custom seasons.
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- Default is '( DJF, MAM, JJA, SON) '
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+ Default is '[ DJF, MAM, JJA, SON] '
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Examples:
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* Anomalies from the full period climatology:
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