Publication2021
Impact of WRF Parameterization Schemes on Track and Intensity of Extremely Severe Cyclonic Storm “Fani”
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- Pure and Applied Geophysics
- Volume
- 178
- Issue
- 1
- Pages
- 245-268
- Published
- 1 January 2021
- DOI
- 10.1007/s00024-020-02629-3
- Scopus ID
- 85099084228
- ISSN
- 00334553
- Authors
- 5
- Open access
- No
- Citations
- 18
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
13 Take urgent action to combat climate change and its impacts
WRF model parameterization schemes improve tropical cyclone 'Fani' track and intensity predictions, essential for disaster preparedness and climate adaptation.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Meteorological modeling research advancing weather prediction accuracy for tropical cyclones.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Climate prediction and disaster resilience through improved weather modeling.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Impact of WRF Parameterization Schemes on Track and Intensity of Extremely Severe Cyclonic Storm “Fani””. Kortex.