The role of extratropical cyclones in flooding in Quebec, Canada, from 1990-202
Notice bibliographique
Résumé
Out of all weather-related hazards, flooding has the most widespread impact globally, and the province of Quebec is no exception. In the past decades, dozens of riverside municipalities have felt the socio-economic consequences of flooding firsthand. Most of Quebec is characterised by a cold and humid continental climate, with precipitation year-round. Here, river flooding often takes place in the spring, due to snowmelt. Although important, snowmelt alone is not the only factor influencing flooding in the mid-latitudes. By bringing heavier than normal precipitation with them, extratropical cyclones are also known to be key contributors. The relationship between extratropical cyclones and flooding have been extensively studied on the West Coast of North America, but remains largely unexplored in eastern Canada. Thus, this study aims to link flooding events that have happened in the past 30 years in Quebec to their triggering extratropical cyclones and identify possible characteristics (genesis locations, trajectories, lifetime, progression speed, or precipitation intensity) that set these systems apart. Coupled with financial aid claims data, highlighting the differences between regular vs flood-inducing extratropical cyclones coming through Quebec can help describe the region’s flooding history and better prepare for future events. We also explore the involvement of atmospheric rivers in these extreme events. This analysis is performed using three databases. First, the Quebec Floods Financial Aid Claims Database provides the 14360 financial aid claims filed by individuals or businesses for material loss following flooding, from 1990-2022. Each claim contains the location of the damaged infrastructures, watershed involved, and closest river section. Second, the North American Extratropical Cyclone Catalogue provides extratropical cyclone tracks derived from the ERA5 reanalysis, available every hour from 1979-2020, and includes variables of interest such as precipitation and near surface wind-speeds. Third, the Global Atmospheric River Scale Database gives the occurrence and scale (based on integrated water vapor transport and duration of event) of atmospheric rivers every 6 hours from 1979-2020. By grouping the financial aid claims by location and date, 385 events were identified. Through this analysis, 550 extratropical cyclones (storms) of interest were identified and ranked according to their associated percentage of cumulated rain during the event. Five zones of storm genesis locations were identified: western Canada, Great Lakes and Ontario, US Northern East Coast and Quebec, Central US, and US East Coast. The genesis location of weaker storms was uniformly distributed among the five regions. However, most of the remaining 108 more intense storms were coming from two genesis locations: Central US (48%), and US East Coast (25%). For these two genesis zones, trajectories of stronger storms were found to be different from those of weaker storms. For example, tracks were more likely to move over land going up the US East Coast and go over the Great Lakes when coming from Central US. As for atmospheric rivers, their involvement in flood-events was found to be very high in the winter, and minimal in the summer. The combination of data used in this method offers new insights for investigating flooding events.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».