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
Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
Part of Journal of Theoretical and Applied Climatology, 2025
- DOI for Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
- Download full text (pdf) of Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
On Coastal Hazards in the Baltic Sea
2025
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 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
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
All publications
Articles in journal
Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
Part of Journal of Theoretical and Applied Climatology, 2025
- DOI for Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
- Download full text (pdf) of Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
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 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
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