K
Kai Li
Researcher at University of La Rochelle
Publications - 12
Citations - 320
Kai Li is an academic researcher from University of La Rochelle. The author has contributed to research in topics: Storm surge & Storm. The author has an hindex of 6, co-authored 12 publications receiving 269 citations.
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Journal ArticleDOI
The contribution of short-waves in storm surges: Two case studies in the Bay of Biscay
TL;DR: In this paper, the authors investigated the contribution of short waves in storm surges through the hindcast of two storms that hit the central part of the Bay of Biscay recently.
Journal ArticleDOI
A modeling-based analysis of the flooding associated with Xynthia, central Bay of Biscay
TL;DR: In this article, a 2DH fully coupled modeling system is applied to the North-East Atlantic Ocean, with a resolution locally reaching a few meters along the coastline of the study area.
Journal ArticleDOI
Determination of extreme sea levels along the Iberian Atlantic coast
TL;DR: In this article, extreme sea levels along the Atlantic Iberian coast are determined through the development and application of a numerical model for tides and surges, followed by a statistical analysis of the model results.
Journal ArticleDOI
Operational forecast framework applied to extreme sea levels at regional and local scales
André B. Fortunato,Anabela Oliveira,J. Rogeiro,R. Costa,J. L. Gomes,Kai Li,G. Jesus,Paula Freire,Ana Rilo,Ana Mendes,Marta Rodrigues,Alberto Azevedo +11 more
TL;DR: In this paper, a generic computational forecast framework for multi-scale prediction of extreme sea levels and associated flooding is presented, which integrates process-based models for waves, tides and surges from regional to local scales, predicting the flooding of coastal areas.
Book ChapterDOI
Limitation of High Water Levels in Bays and Estuaries During Storm Flood Events
Benoit Waeles,Xavier Bertin,Damien Chevaillier,Jean-François Breilh,Kai Li,Baptiste Le Mauff Dorn +5 more
TL;DR: In this article, the authors investigated the impact of flooding associated with storm Xynthia on the French Atlantic coast by means of numerical modelling in the Pertuis Charentais carried out by LIENSs and found that flooding can impact water level along the coastline up to more than 0.5 m.