Kévin Dubois
PhD student at Department of Earth Sciences; Program for Air, Water and Landscape Sciences; Meteorology
- E-mail:
- kevin.dubois@geo.uu.se
- Visiting address:
- Geocentrum, Villavägen 16
752 36 Uppsala - Postal address:
- Villavägen 16
752 36 UPPSALA
Publications
Recent publications
Part of Tellus. Series A, Dynamic meteorology and oceanography, p. 79-97, 2025
- DOI for Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
- Download full text (pdf) of Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
Part of Natural hazards and earth system sciences, p. 3245-3265, 2024
- DOI for Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
- Download full text (pdf) of Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
2024
Part of Ocean Science, p. 21-30, 2024
- DOI for Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
- Download full text (pdf) of Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
All publications
Articles in journal
Part of Tellus. Series A, Dynamic meteorology and oceanography, p. 79-97, 2025
- DOI for Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
- Download full text (pdf) of Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
Part of Natural hazards and earth system sciences, p. 3245-3265, 2024
- DOI for Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
- Download full text (pdf) of Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
Part of Ocean Science, p. 21-30, 2024
- DOI for Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
- Download full text (pdf) of Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data