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Plot new TC-Diagnostics output from TC-Pairs. #233

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13 of 26 tasks
JohnHalleyGotway opened this issue May 23, 2022 · 6 comments
Closed
13 of 26 tasks

Plot new TC-Diagnostics output from TC-Pairs. #233

JohnHalleyGotway opened this issue May 23, 2022 · 6 comments
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alert: NEED CYCLE ASSIGNMENT Need to assign to a release development cycle alert: NEED MORE DEFINITION Not yet actionable, additional definition required METplotpy: Plots priority: high High Priority requestor: NOAA/HFIP NOAA Hurricane Forecast Improvement Project type: new feature Make it do something new

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@JohnHalleyGotway
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JohnHalleyGotway commented May 23, 2022

Describe the New Feature

The key targets for plotting development in this issue are (from the 04/07/2023 project-wide meeting):

  1. Display the distributions of diagnostics by storm, by season, by model
  2. Skew-Ts
  3. Time series of diagnostic values for forecasts

More details:
1. Display the distributions of diagnostics by storm, by season, by model

  • This will be useful for researchers and forecasters wanting to understand retrospective evaluation of model performance.
  • E.g., shear vs. different models
  • By default, the filtering is homogeneous.
  • METplotpy has transitioned the Rscript codes to do boxplots based on errors, so it’s just a matter of switching these over from errors to diagnostics.
  • The new TCpairs line type is TCDiag which comes after MPR has paired values, not columns. Not trivial to adapt.
  • This could also be conditioned by errors or thresholded diagnostic value (e.g., low shear).

2. Skew-Ts

  • This will be useful for forecasters - sanity check on model’s atmospheric structure, but also to check to see if there are aspects not captured by the standard diagnostics (e.g., mid-level jet, SAL inversion, etc.).
  • These are area-averaged values, not a sounding at a point.
  • In theory, the point soundings COULD be done from the cylindrical grid and compared to the large-scale.
  • But for now, focus on one sounding - the single values out of the diagnostics without regard to the area it has been averaged over (can be read directly from the ASCII or TC-Pairs, if included).
  • This low hanging fruit. Just plot the column of single numbers for each forecast hour.

3. Time series of diagnostic values for forecasts

  • This is a real-time type of plot for forecasters
  • Similar to what CIRA is producing. Representing what is in the current diagnostic file.

More information:

  • 1 and 3 would fit under the guise of the TC-MPR plotter (a doable modification).
  • 2 would probably be separate from TC-MPR plotter. Probably the most viable task to tackle first.
  • Start by using the diagnostic data from TC-pairs.

This issue is related to:

For now, this task will focus on developing python-based plotting in METplotpy.

Acceptance Testing

List input data types and sources.
Describe tests required for new functionality.

Time Estimate

Estimate the amount of work required here.
Issues should represent approximately 1 to 3 days of work.

Sub-Issues

Consider breaking the new feature down into sub-issues.

  • Add a checkbox for each sub-issue here.

Relevant Deadlines

List relevant project deadlines here or state NONE.

Funding Source

NOAA WPO - JTTI TCDiag Project (2770043)

Define the Metadata

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  • Select component(s)
  • Select priority
  • Select requestor(s)

Projects and Milestone

  • Select Repository and/or Organization level Project(s) or add alert: NEED PROJECT ASSIGNMENT label
  • Select Milestone as the next official version or Future Versions

Define Related Issue(s)

Consider the impact to the other METplus components.

New Feature Checklist

See the METplus Workflow for details.

  • Complete the issue definition above, including the Time Estimate and Funding source.
  • Fork this repository or create a branch of develop.
    Branch name: feature_<Issue Number>_<Description>
  • Complete the development and test your changes.
  • Add/update log messages for easier debugging.
  • Add/update unit tests.
  • Add/update documentation.
  • Push local changes to GitHub.
  • Submit a pull request to merge into develop.
    Pull request: feature <Issue Number> <Description>
  • Define the pull request metadata, as permissions allow.
    Select: Reviewer(s) and Linked issues
    Select: Repository level development cycle Project for the next official release
    Select: Milestone as the next official version
  • Iterate until the reviewer(s) accept and merge your changes.
  • Delete your fork or branch.
  • Close this issue.
@JohnHalleyGotway JohnHalleyGotway added type: new feature Make it do something new priority: high High Priority alert: NEED ACCOUNT KEY Need to assign an account key to this issue alert: NEED MORE DEFINITION Not yet actionable, additional definition required alert: NEED CYCLE ASSIGNMENT Need to assign to a release development cycle requestor: NOAA/HFIP NOAA Hurricane Forecast Improvement Project METplotpy: Plots labels May 23, 2022
@JohnHalleyGotway JohnHalleyGotway added this to the METplotpy-2.0 milestone May 23, 2022
@bikegeek bikegeek modified the milestones: METplotpy-2.0, METplotpy 2.1.0-beta3, METplotpy 2.1.0-beta4 Mar 1, 2023
@JohnHalleyGotway JohnHalleyGotway modified the milestones: METplotpy 2.1.0-beta3, METplotpy-2.1.0 Mar 7, 2023
@jvigh jvigh removed the alert: NEED ACCOUNT KEY Need to assign an account key to this issue label Apr 19, 2023
@bikegeek
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Skew T's issue: #339
code is available in feature_337_tcdiag_skewt (*note that the feature number should be 339 and not 337)

@bikegeek
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This is awaiting evaluation by Jonathan Vigh for the use case that uses this plot:
dtcenter/METplus#2359

@bikegeek
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Reading in the TC Diag columns from TC Pairs output has been completed:
dtcenter/METdataio#87

@bikegeek
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The TCMPR plotting for plotting the TC Diag columns was completed: #342

@bikegeek
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Reformatting TCDiag data has been completed:
dtcenter/METdataio#240

@bikegeek
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All sub-tasks/issues that make up this issue have been completed. Closing this issue.

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Labels
alert: NEED CYCLE ASSIGNMENT Need to assign to a release development cycle alert: NEED MORE DEFINITION Not yet actionable, additional definition required METplotpy: Plots priority: high High Priority requestor: NOAA/HFIP NOAA Hurricane Forecast Improvement Project type: new feature Make it do something new
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