wmo-im / CCT

Common Code Tables
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New entries to C13 sub category to identify tropical cyclone forecast from machine learning #198

Closed marijanacrepulja closed 1 month ago

marijanacrepulja commented 4 months ago

Initial request

In preparations to disseminate forecasted tropical cyclone tracks from machine learning models, there is a need to introduce new data subcategories to identify these products.

Amendment details

Add the new codes to COMMON CODE TABLE C–13: International data sub-categories of data categories defined by entries in BUFR Table A

DATA CATEGORIES INTERNATIONAL DATA SUB-CATEGORIES
Code figure Name Code figure Name
7 Synoptic features 3 Forecast tropical cyclone from machine learning deterministic system
7 Synoptic features 4 Forecast tropical cyclone from machine learning ensemble prediction system

Comments

No response

Requestor(s)

Marijana Crepulja (ECMWF)

Stakeholder(s)

ECMWF member states WMO

Publication(s)

Example: Manual on Codes (WMO-No. 306), Volume I.2, Common Code Table C-4

Expected impact of change

None

Collaborators

No response

References

No response

Validation

No response

amilan17 commented 4 months ago

https://github.com/wmo-im/CCT/wiki/Teleconference.16.May.2024 notes: Marijana introduced the proposal; It was suggest to spell out EPS and expand the existing one above

amilan17 commented 3 months ago

https://github.com/wmo-im/CCT/wiki/Teleconference.2024.June.4and5 notes: branch is ready to edit

marijanacrepulja commented 3 months ago

@amilan17 the branch is updated

amilan17 commented 3 months ago

https://github.com/wmo-im/CCT/wiki/Teleconference.24and26.June.2024 notes: branch is updated and ready for validation; acronyms are spelled out