Kévin Dubois
Doktorand vid Institutionen för geovetenskaper; Luft-, vatten- och landskapslära; Meteorologi
- E-post:
- kevin.dubois@geo.uu.se
- Besöksadress:
- Geocentrum, Villavägen 16
752 36 Uppsala - Postadress:
- Villavägen 16
752 36 UPPSALA
Publikationer
Senaste publikationer
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Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
Ingår i Journal of Theoretical and Applied Climatology, 2025
- DOI för Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
- Ladda ner fulltext (pdf) av Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
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On Coastal Hazards in the Baltic Sea
2025
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Ingår i Tellus. Series A, Dynamic meteorology and oceanography, s. 79-97, 2025
- DOI för Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
- Ladda ner fulltext (pdf) av Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
-
Ingår i Ocean Science, s. 21-30, 2024
- DOI för Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
- Ladda ner fulltext (pdf) av Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
-
Ingår i Natural hazards and earth system sciences, s. 3245-3265, 2024
- DOI för Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
- Ladda ner fulltext (pdf) av Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
Alla publikationer
Artiklar i tidskrift
-
Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
Ingår i Journal of Theoretical and Applied Climatology, 2025
- DOI för Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
- Ladda ner fulltext (pdf) av Assessing future changes in Baltic sea extreme wave heights using a machine learning approach
-
Ingår i Tellus. Series A, Dynamic meteorology and oceanography, s. 79-97, 2025
- DOI för Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
- Ladda ner fulltext (pdf) av Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
-
Ingår i Ocean Science, s. 21-30, 2024
- DOI för Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
- Ladda ner fulltext (pdf) av Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
-
Ingår i Natural hazards and earth system sciences, s. 3245-3265, 2024
- DOI för Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
- Ladda ner fulltext (pdf) av Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment