New Use Case: Probability of Exceedence for 85th percentile temperatures #1808
Labels
priority: high
High Priority
requestor: NOAA/CPC
NOAA Climate Prediction Center
required: FOR OFFICIAL RELEASE
Required to be completed in the official release for the assigned milestone
type: new use case
Add a new use case
Milestone
Describe the New Use Case
This is the result of a project with CPC to ingest Probability of Exceedence (POE) datasets and provide deterministic verification. After several iterations a comparison of 8 day lead to binary fields for the 85th percentile of temperature were settled on.
Use Case Name and Category
use case should follow GridStat_fcstGEFS_obsCADB_BinaryObsPOE for naming, and reside in the Medium Range category.
Input Data
Input sources are from GEFS (for both fields), and are in netCDF format. The fields are ingested via Python embedding.
Files are fairly small, with fcst -- 7.5 MB and obs -- 21KB.
Acceptance Testing
The use case should run successfully, with the requested output (CTC, CTS) being produced and filled with realistic values.
As use case develops, provide a run time here
Time Estimate
1-2 days
Sub-Issues
Consider breaking the new feature down into sub-issues.
Relevant Deadlines
List relevant project deadlines here or state NONE.
Funding Source
Define the source of funding and account keys here or state NONE.
Define the Metadata
Assignee
Labels
Projects and Milestone
Define Related Issue(s)
Consider the impact to the other METplus components.
New Use Case Checklist
See the METplus Workflow for details.
Branch name:
feature_<Issue Number>_<Description>
Pull request:
feature <Issue Number> <Description>
Select: Reviewer(s) and Linked issues
Select: Repository level development cycle Project for the next official release
Select: Milestone as the next official version
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