MD
Martin Drews
Technical University of Denmark, Danish Meteorological Institute, Københavns Universitet Niels Bohr Instituttet, Danmarks Tekniske Universitet Campus Risoe, University of Copenhagen
Research areas: Environmental Science · Global and Planetary Change · Climate variability and models · Flood Risk Assessment and Management · Meteorological Phenomena and Simulations
0000-0002-3532-4780
Employment
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Danmarks Tekniske Universitet Senior researcher2012 - Present
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Danmarks Meteorologiske Institut Researcher2006 - 2012
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Danmarks Tekniske Universitet Campus Risoe Postdoc.2004 - 2005
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Danmarks Tekniske Universitet Campus Risoe Ph.D. scholar2000 - 2004
Education
- 2000 - 2004
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Københavns Universitet Niels Bohr Instituttet Master (Physics)1996 - 1999
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Københavns Universitet Bachelor of Science (Physics, Computer Science)1992 - 1996
Projects & Funding
Projects & funding information is unavailable.
Publications (121)
- Attribution of the 2024 record-breaking precipitation event in Southern Denmark to human-induced climate change Save
- Diverging seasonal trends in soil moisture in Northern Europe Save
- Future wildfire risk in Southern Europe under changing land use, population, and climate: a data-driven approach Save
- Measuring the social impacts of coastal flooding Save
- Spatially explicit climate adaptation pathways for coastal archetypes: A quantitative narrative approach Save
- Storm surge prediction using a surrogate hydrodynamic model based on long short-term memory networks Save
- The Damagecost model Save
- Uncertainty Representation and Propagation in Flood Risk Modeling Under Climate Change Save
- Capacity development for locally-led knowledge co-production processes in Real World Labs for managing climate and disaster risk Save
- Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways Save
- Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach Save
- Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning Save
- Invited perspectives Save
- Robustness of dynamical coupling between wintertime European weather extremes and the large-scale circulation Save
- Scalable & explainable ML for wildfire risk modeling in Southern Europe: A case-study in Portugal Save
- The DamageCost Model: A Co-created Open-Source Tool for Assessing the Socioeconomic Impacts of flooding Save
- Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making Save
- Climate Adaptation with Reinforcement Learning Save
- Enforcing and improving water data reporting in the energy system is urgently needed Save
- How to Engage and Adapt to Unprecedented Extremes Save