Enhance contents of VCNT line type to actually compute the bootstrap confidence intervals

[dwfncar]

Describe the Enhancement

MET version 7.0 added the new VCNT line type for vector continuous statistics. However, it is incomplete. We added placeholder columns for bootstrap CI's but they are currently set to NA. This task is to actually go through and compute the bootstrap CI's in MET. This applies to the Point-Stat, Grid-Stat, Series-Analysis, and Stat-Analysis tools.

Time Estimate

2-3 days

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• METplus, MET, METdatadb, METviewer, METexpress, METcalcpy, METplotpy
  No impacts but wait until Add Anomaly Correlation Coefficient to VCNT Line Type #2022 is complete before beginning this one.

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[JohnHalleyGotway]

Note that this issue resurfaced when beginning work on #2022. The VCNT line type includes many columns for BCL and BCU output. They are currently just hard-coded to write NA. If we're going to have those columns, we should populate them... or decide that populating them isn't worthwhile and remove the BCL and BCU columns.

[JohnHalleyGotway]

Development for #2022 revealed that storing both the vector partial sums and the derived statistics in the same VL1L2Info is not a sufficient design. Recommend that we...

• Define a new VCNTInfo class and move the stats from VL1L2Info to this one.
• Model the VL1L2Info/VCNTInfo classes after the existing SL1L2Info/CNTInfo ones. Having their logic differ is very confusing.
• When doing this, make sure that any VCNTInfo statistics for which there is no data are reported as NA instead of 0. For example, when running Stat-Analysis -job aggregeate_stat for VAL1L2 -> VCNT, most of the stats should be NA. However, they're currently reported as 0 instead.
• Currently the VL1L2Info class calls compute_stat() very frequently. Look closely at that and only compute statistics when actually needed. For example, in Stat-Analysis, when aggregating multiple VL1L2Info lines together, the stats are recomputed after each aggregation. Instead, only compute them once after aggregating all the partial sums.