Enhance METcalcpy to aggregate statistics added to the ECNT, VL1L2, VAL1L2, and VCNT line types during the MET 12.0.0 beta4 development cycle

[JohnHalleyGotway]

Describe the Enhancement

Issue dtcenter/METdataio#282 updates the schema to load new wind direction statistics from the VL1L2, VAL1L2, and VCNT line types of MET version 12.0.0 and new ignorance score statistics to the ECNT line type. This issue is to update METcalcpy to update the aggregation logic for the VL1L2, VAL1L2, VCNT, and ECNT line types to handle these new columns of data. Please see @JohnHalleyGotway with any questions you may have about the aggregation logic.

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Define Related Issue(s)

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• METplus, MET, METdataio, METviewer, METexpress, METcalcpy, METplotpy
• Add new wind direction verification statistics for RMSE, Bias, and MAE MET#2395
• Enhance METdataio schema to handle changes to the ECNT, VL1L2, VAL1L2, and VCNT line types during the MET 12.0.0 beta4 development cycle METdataio#282
• Enhance METcalcpy to aggregate statistics added to the ECNT, VL1L2, VAL1L2, and VCNT line types during the MET 12.0.0 beta4 development cycle #361
• Enhance METviewer to plot statistics added to the ECNT, VL1L2, VAL1L2, and VCNT line types introduced in the MET 12.0.0 beta4 development cycle METviewer#517

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[JohnHalleyGotway]

1. For the VL1L2 columns:

• DIR_ME, DIR_MAE, DIR_MSE: Aggregate these simply as a weighted average of the input statistics, where the weight is defined by the TOTAL column.

'vl1l2_dir_me': ['dir_me'],
'vl1l2_dir_mae': ['dir_mae'],
'vl1l2_dir_mse': ['dir_mse'],

2. For the VCNT columns:

• DIR_ME, DIR_MAE, DIR_MSE: Aggregate these simply as a weighted average of the input statistics, where the weight is defined by the TOTAL column.

'vcnt_dir_me': ['dir_me'],
'vcnt_dir_mae': ['dir_mae'],
'vcnt_dir_mse': ['dir_mse'],

• DIR_RMSE: Aggregate DIR_MSE, as described above, and then take the square root.

'vcnt_dir_rmse': ['dir_mse'],

3. For the VAL1L2 columns:

• DIRA_ME, DIRA_MAE, DIRA_MSE: Aggregate these simply as a weighted average of the input statistics, where the weight is defined by the TOTAL column.

'val1l2_dira_me': ['dira_me],
'val1l2_dira_mae': ['dira_mae],
'val1l2_dira_mse': ['dira_mse],

4. For the ECNT columns:

• IGN_CONV_OERR, IGN_CORR_OERR: Aggregate these simply as a weighted average of the input statistics, where the weight is defined by the TOTAL column.

In general, when adding aggregation logic to METcaclpy, recommend testing and validating using MET's Stat-Analysis tool to make sure we get consistent results. e.g. run the -job aggregate and/or -job aggregate_stat job types.