Identifying Administrative Border Gaps in Meteorological Tracking and Cross-Hemispheric Monitoring for Identifiable Lower-Limits in Severe Forecast Storms

This paper establishes an analytical public policy and atmospheric monitoring framework to address systemic data gaps caused by rigid, geographically bounded meteorological jurisdictions. While the atmosphere behaves as a borderless global fluid, state forecasting agencies naturally operate within strictly defined administrative territories, such as the Philippine Area of Responsibility (PAR). This structural misalignment creates an institutional "sieve" where macro-scale, unclassified, or unnamed cross-equatorial atmospheric dynamics slip through operational pipelines—particularly when agency bandwidth is monopolized by a high-profile, named typhoon. By evaluating historical tracking data alongside open-source hydrodynamic wind flow models, this framework identifies three distinct typologies of cross-hemispheric data oversight. Ultimately, this research introduces a collaborative, non-adversarial methodology to utilize macro-scale fluid indicators to establish an Estimated Intensity Lower-Limit (Floor), granting disaster management authorities critical extended lead times to secure vulnerable coastal shelfs.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-30
DOI
https://doi.org/10.5281/zenodo.21699690
Primary Topic
Tropical and Extratropical Cyclones Research
Type
preprint
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preprint

Identifying Administrative Border Gaps in Meteorological Tracking and Cross-Hemispheric Monitoring for Identifiable Lower-Limits in Severe Forecast Storms

Zackary Vevo Datahan
Zenodo (CERN European Organization for Nuclear Research)
Tropical and Extratropical Cyclones Research
preprint

Identifying Administrative Border Gaps in Meteorological Tracking and Cross-Hemispheric Monitoring for Identifiable Lower-Limits in Severe Forecast Storms

Zackary Vevo Datahan
preprint en

Abstract

This paper establishes an analytical public policy and atmospheric monitoring framework to address systemic data gaps caused by rigid, geographically bounded meteorological jurisdictions. While the atmosphere behaves as a borderless global fluid, state forecasting agencies naturally operate within strictly defined administrative territories, such as the Philippine Area of Responsibility (PAR). This structural misalignment creates an institutional "sieve" where macro-scale, unclassified, or unnamed cross-equatorial atmospheric dynamics slip through operational pipelines—particularly when agency bandwidth is monopolized by a high-profile, named typhoon. By evaluating historical tracking data alongside open-source hydrodynamic wind flow models, this framework identifies three distinct typologies of cross-hemispheric data oversight. Ultimately, this research introduces a collaborative, non-adversarial methodology to utilize macro-scale fluid indicators to establish an Estimated Intensity Lower-Limit (Floor), granting disaster management authorities critical extended lead times to secure vulnerable coastal shelfs.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Tropical and Extratropical Cyclones Research
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