Climatic Hazards and Advanced Risk Modelling, Co-operators General Insurance Company, Québec, QC, Canada
Centre Eau Terre Environnement, Institut national de la recherche scientifique, Québec, QC, Canada
Sébastien Raymond
Climatic Hazards and Advanced Risk Modelling, Co-operators General Insurance Company, Québec, QC, Canada
Centre Eau Terre Environnement, Institut national de la recherche scientifique, Québec, QC, Canada
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 1,760 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,486
221
53
1,760
61
75
HTML: 1,486
PDF: 221
XML: 53
Total: 1,760
BibTeX: 61
EndNote: 75
Views and downloads (calculated since 11 Jan 2024)
Cumulative views and downloads
(calculated since 11 Jan 2024)
Total article views: 1,562 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,289
221
52
1,562
61
75
HTML: 1,289
PDF: 221
XML: 52
Total: 1,562
BibTeX: 61
EndNote: 75
Views and downloads (calculated since 26 Jul 2024)
Cumulative views and downloads
(calculated since 26 Jul 2024)
Total article views: 198 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
197
0
1
198
0
0
HTML: 197
PDF: 0
XML: 1
Total: 198
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 11 Jan 2024)
Cumulative views and downloads
(calculated since 11 Jan 2024)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 1,760 (including HTML, PDF, and XML)
Thereof 1,705 with geography defined
and 55 with unknown origin.
Total article views: 1,562 (including HTML, PDF, and XML)
Thereof 1,514 with geography defined
and 48 with unknown origin.
Total article views: 198 (including HTML, PDF, and XML)
Thereof 191 with geography defined
and 7 with unknown origin.
Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Modelling floods at the street level for large countries like Canada and the United States is...