Martin Drews
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View article: Invited perspectives: Fostering interoperability of data, models, communication, and governance for disaster resilience through transdisciplinary knowledge co-production
Invited perspectives: Fostering interoperability of data, models, communication, and governance for disaster resilience through transdisciplinary knowledge co-production Open
Despite considerable efforts and progress in increasing resilience to natural hazards, the adverse socio-economic impacts of extreme weather events continue to increase globally. As climate change progresses, disaster risk management needs…
View article: Temporal clusters of extreme events across Europe in a regional multi-scenario/multi-member ensemble
Temporal clusters of extreme events across Europe in a regional multi-scenario/multi-member ensemble Open
Climate change drives an increase in the frequency of multiple meteorological extreme event types (e.g., extreme precipitation, storms, droughts, heatwaves) by affecting thermodynamic and dynamic processes in the coupled land-atmosphere sy…
View article: A data-driven approach for wildfire risk modelling in Southern Europe
A data-driven approach for wildfire risk modelling in Southern Europe Open
Wildfires are one of the most devastating natural disasters with wide impacts across economic sectors and society in Europe. Modeling wildfire risk remains a complex challenge, particularly as predictions of fire risk often rely on weather…
View article: Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making Open
Subjective wellbeing is a fundamental aspect of human life, influencing life expectancy and economic productivity, among others. Mobility plays a critical role in maintaining wellbeing, yet the increasing frequency and intensity of both nu…
View article: Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach Open
Extreme sea levels are a major global concern due to their potential to cause fatalities and significant economic losses in coastal areas. Consequently, accurate projections of these extremes for the coming century are crucial for effectiv…
View article: Sensitivity of Dynamical Coupling to Large-Scale Circulation in European Winter Extremes
Sensitivity of Dynamical Coupling to Large-Scale Circulation in European Winter Extremes Open
The physical mechanisms underlying climate-induced extreme events are inherently complex, arising from the compounding nature of multiple drivers and/or hazards. Leveraging the chaotic nature of the atmosphere, a novel approach, based on r…
View article: Exploring storm tides projections and their return levels around the Baltic Sea
Exploring storm tides projections and their return levels around the Baltic Sea Open
Extreme sea levels are a global concern, as they can lead to substantial economic losses and pose risks to human communities in coastal regions. Accurate projections of extreme sea levels are essential for effective coastal management and …
View article: Capacity development for locally-led knowledge co-production processes in Real World Labs for managing climate and disaster risk
Capacity development for locally-led knowledge co-production processes in Real World Labs for managing climate and disaster risk Open
Knowledge co-production processes are increasingly used to promote transdisciplinary collaboration and integration of knowledge across scales to better understand and govern complex sustainability challenges. However, existing literature t…
View article: Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen Open
Due to climate change the frequency and intensity of extreme rainfall events, which contribute to urban flooding, are expected to increase in many places. These floods can damage transport infrastructure and disrupt mobility, highlighting …
View article: Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment
Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment Open
Coastal and riverine floods are major concerns worldwide as they can impact highly populated areas and result in significant economic losses. In a river mouth environment, interacting hydrological and oceanographical processes can enhance …
View article: Invited perspectives: Fostering interoperability of data, models, communication and governance for disaster resilience through transdisciplinary knowledge co-production
Invited perspectives: Fostering interoperability of data, models, communication and governance for disaster resilience through transdisciplinary knowledge co-production Open
Despite considerable efforts and progress in increasing resilience to natural hazards, the adverse socio-economic impacts of extreme weather events continue to increase globally. As climate change progresses, disaster risk management needs…
View article: A Northern European paradox: both wetting and drying trends complicate water management 
A Northern European paradox: both wetting and drying trends complicate water management  Open
The diverging trends in annual soil moisture across Europe are stark: Northern regions are increasingly wet, while Southern areas face growing aridity, largely due to contrasting precipitation patterns between these regions. While several …
View article: How to Engage and Adapt to Unprecedented Extremes
How to Engage and Adapt to Unprecedented Extremes Open
Facing the urgent challenge of extreme weather and climate-related events, our societal frameworks for “resilience” and “adaptation” are proving to be insufficient. This paper introduces the “Exploring Unprecedented Extremes” workshop, whi…
View article: Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data Open
Extreme sea levels may cause damage and the disruption of activities in coastal areas. Thus, predicting extreme sea levels is essential for coastal management. Statistical inference of robust return level estimates critically depends on th…
View article: Enforcing and improving water data reporting in the energy system is urgently needed
Enforcing and improving water data reporting in the energy system is urgently needed Open
As it is a commentary we do not have a usual abstract Today’s energy systems are critically dependent on water for hydropower and thermoelectric power generation, which relies on a large amount of cooling water. However, even with increasi…
View article: Comment on nhess-2023-176
Comment on nhess-2023-176 Open
Abstract. Coastal and riverine floods are major concerns worldwide as they can impact highly populated areas and result in significant economic losses. In a river mouth environment, interacting hydrological and oceanographical processes ca…
View article: Comment on nhess-2023-176
Comment on nhess-2023-176 Open
Abstract. Coastal and riverine floods are major concerns worldwide as they can impact highly populated areas and result in significant economic losses. In a river mouth environment, interacting hydrological and oceanographical processes ca…
View article: Influence of data source and copula statistics on estimates of compound extreme water levels in a river mouth environment
Influence of data source and copula statistics on estimates of compound extreme water levels in a river mouth environment Open
Coastal and riverine floods are major concerns worldwide as they can impact highly populated areas and result in significant economic losses. In a river mouth environment, interacting hydrological and oceanographical processes can enhance …
View article: Comment on egusphere-2023-1159
Comment on egusphere-2023-1159 Open
Abstract. Extreme sea levels may cause damage and disruption of activities in coastal areas. Thus, predicting extreme sea levels is essential for coastal management. Statistical inference of robust return level estimates critically depends…
View article: Comparison and analysis of national climate change adaptation policies in the Nordic region
Comparison and analysis of national climate change adaptation policies in the Nordic region Open
This report presents the findings from a comparative study of climate change adaptation policy in Denmark, Finland, Iceland, Norway, and Sweden. Based on a comparative analysis of the policy landscape, including legislative frameworks, pol…
View article: Towards enhanced climate change adaptation in the Nordic Region
Towards enhanced climate change adaptation in the Nordic Region Open
This policy brief presents the findings from the report "Comparison and analysis of national adaptation policies in the Nordic region", along with a set of policy recommendations directed at public authorities in the Nordic countries. Afte…
View article: Compound hydrometeorologic extremes in Northern Europe: a case study on flooding and drought in Denmark
Compound hydrometeorologic extremes in Northern Europe: a case study on flooding and drought in Denmark Open
Climate projections indicate a general increase in precipitation in Northern Europe accompanied by an increase in variability across a range of hydroclimate variables. In Denmark, increases in the amount of winter precipitation have result…
View article: The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models
The utility of using Volunteered Geographic Information (VGI) for evaluating pluvial flood models Open
Pluvial floods are increasingly threatening urban environments worldwide due to human-induced climate change. High-resolution, state-of-the-art pluvial flood models are urgently needed to inform climate change adaptation and disaster risk …
View article: Technical note: Extending sea level time series for extremes analysis with machine learning and neighbouring station data
Technical note: Extending sea level time series for extremes analysis with machine learning and neighbouring station data Open
Extreme sea levels may cause damage and disruption of activities in coastal areas. Thus, predicting extreme sea levels is essential for coastal management. Statistical inference of robust return level estimates critically depends on the le…