A5074745503- Flood Risk Assessment and Management
- Tropical and Extratropical Cyclones Research
- Climate variability and models
- Meteorological Phenomena and Simulations
- Disaster Management and Resilience
- Climate Change, Adaptation, Migration
- Climate change impacts on agriculture
- Climate Change and Health Impacts
- Infrastructure Resilience and Vulnerability Analysis
- Landslides and related hazards
- Hydrology and Watershed Management Studies
- Wind and Air Flow Studies
- Hydrology and Drought Analysis
- Cryospheric studies and observations
- Climate Change Policy and Economics
- Agricultural risk and resilience
- Atmospheric and Environmental Gas Dynamics
- Fire effects on ecosystems
- Insurance and Financial Risk Management
- Climate Change Communication and Perception
- Sustainability and Climate Change Governance
- Global Health Care Issues
- Coastal and Marine Management
- Geophysics and Gravity Measurements
- Air Quality and Health Impacts
ETH Zurich
2016-2025
Federal Office of Meteorology and Climatology MeteoSwiss
2017-2025
Zürich Airport (Switzerland)
2017-2025
Federal Department of Home Affairs
2024
Vrije Universiteit Amsterdam
2023
Climate Centre
2021
Board of the Swiss Federal Institutes of Technology
2021
Swiss Re (Switzerland)
2008-2016
Swiss Insurance Association
2011
University of Pennsylvania
2002
Young generations are severely threatened by climate change
Abstract Forecasting and early warning systems are important investments to protect lives, properties, livelihood. While frequently used predict the magnitude, location, timing of potentially damaging events, these rarely provide impact estimates, such as expected amount distribution physical damage, human consequences, disruption services, or financial loss. Complementing with forecasts has a twofold advantage: It would decision makers richer information take informed decisions about...
Coastal risks are increasing from both development and climate change. Interest is growing in the protective role that coastal nature-based measures (or green infrastructure), such as reefs wetlands, can play adapting to these risks. However, a lack of quantitative information on their relative costs benefits one principal factor limiting use more broadly. Here, we apply risk assessment framework assess flood (from change economic exposure growth) across United States Gulf Mexico coast...
Heat-related mortality has been identified as one of the key climate extremes posing a risk to human health. Current research focuses largely on how heat increases with mean global temperature rise, but it is unclear much change will increase frequency and severity extreme summer seasons high impact In this probabilistic analysis, we combined empirical heat-mortality relationships for 748 locations from 47 countries model large ensemble data identify probable past future highly impactful...
Critical infrastructures are more exposed than ever to natural hazards in a changing climate. To understand and manage risk, failure cascades across large, real-world infrastructure networks, their impact on people, must be captured. Bridging established methods both risk modelling communities, we develop an open-source framework which integrates network-based interdependent system model into the globally consistent spatially explicit hazard assessment platform CLIMADA. The captures damages,...
Abstract Natural hazards pose significant risks to people and assets in many regions of the world. Quantifying associated is crucial for applications such as adaptation option appraisal insurance pricing. However, traditional risk assessment approaches have focused on impacts single hazards, ignoring effects multi-hazard potentially leading underestimations or overestimations risks. In this work, we present a framework modelling globally consistent way, considering exposures,...
Abstract. The need for assessing the risk of extreme weather events is ever increasing. In addition to quantification today, role aggravating factors such as high population growth and changing climate conditions matters, too. We present open-source software CLIMADA (CLIMate ADAptation), which integrates hazard, exposure, vulnerability compute necessary metrics assess quantify socio-economic impact. design modular object oriented, offering a simple collaborative framework parallelization...
Abstract The extent and impact of climate‐related extreme events depend on the underlying meteorological, hydrological, or climatological drivers as well human factors such land use population density. Here we quantify pure effect historical future climate change exposure to using an unprecedentedly large ensemble harmonized simulations from Inter‐Sectoral Impact Model Intercomparison Project phase 2b. Our results indicate that global warming has already more than doubled both area annually...
Abstract Every year, millions of people around the world are being displaced from their homes due to climate-related disasters. River flooding is responsible for a large part this displacement. Previous studies have shown that river flood risk expected change as result global warming and its effects on hydrological cycle. At same time, future scenarios socio-economic development imply substantial population increases in many areas presently experience disaster-induced Here we show both...
Abstract. Assessing the adverse impacts caused by tropical cyclones has become increasingly important as both climate change and human coastal development increase damage potential. In order to assess cyclone risk, direct economic is frequently modeled based on hazard intensity, asset exposure, vulnerability, latter represented impact functions. this study, we show that assessing risk a global level with one single function calibrated for USA – which typical approach in many recent studies...
Climate change affects precipitation patterns. Here, we investigate whether its signals are already detectable in reported river flood damages. We develop an empirical model to reconstruct observed damages and quantify the contributions of climate socio-economic drivers trends. show that, on level nine world regions, trends dominated by increasing exposure modulated changes vulnerability, while climate-induced comparably small mostly statistically insignificant, with exception South &...
To make sound decisions in the face of climate change, government agencies, policymakers and private stakeholders require suitable information on local to regional scales. In Switzerland, development change scenarios is strongly linked adaptation strategy Confederation. The current for Switzerland CH2018 - released form six user-oriented products were result an intensive collaboration between academia administration under umbrella National Centre Climate Services (NCCS), accounting user...
Abstract Extreme weather events can severely impact national economies, leading the recovery of low- to middle-income countries become reliant on foreign financial aid. Foreign aid is, however, slow and uncertain. Therefore, Sendai Framework Paris Agreement advocate for more resilient instruments like sovereign catastrophe risk pools. Existing pools, might not fully exploit their resilience potential because they were designed maximize diversification pool only regionally. Here we introduce...
Abstract. To manage Earth in the Anthropocene, new tools, institutions, and forms of international cooperation will be required. Virtualization Engines is proposed as an federation centers excellence to empower all people respond immense urgent challenges posed by climate change.
Abstract. Winter windstorms are among the most significant natural hazards in Europe linked to fatalities and substantial damage. However, projections of windstorm impact under climate change highly uncertain. This study combines from 30 general circulation models participating Phase 6 Coupled Model Intercomparison Project (CMIP6) with risk assessment model CLIMADA obtain windstorm-induced damage over a changing climate. We conduct an uncertainty–sensitivity analysis find large uncertainties...
<strong class="journal-contentHeaderColor">Abstract.</strong> Tropical cyclones pose a major risk to societies worldwide, with about 22 million directly affected people and damages of USD 29 billion on average per year over the last 20 years. While data observed tracks (location center) wind speeds are publicly available, these sets do not contain information spatial extent storm or assets exposed. Here, we apply simplified field model estimate areas exposed above 34, 64, 96 knots (kn)....
Abstract Bad weather continues not only to inflict damage on property but also kill and injure people, despite significant advances in the predictive power of meteorological warnings. There is evidence that people tend underreact warning information, a large extent because insufficient understanding impacts severe events can have, as well demonstrate appropriate response behavior. A growing number experts are suggesting standard information should be augmented with additional about these...
Understanding the patterns of urban temperature a high spatial and temporal resolution is large importance for heat adaptation mitigation. Machine learning offers promising tools high-resolution modeling heat, but it requires amounts data. Measurements from official weather stations are too sparse could be complemented by crowd-sensed measurements citizen (CWS). Here we present an approach to model using quantile regression forest algorithm CWS, open government remote sensing The analysis...
Abstract. One of the challenges in globally consistent assessments physical climate risks is fact that asset exposure data are either unavailable or restricted to single countries regions. We introduce a global high-resolution dataset responding this challenge. The produced using “lit population” (LitPop), methodology disaggregate value proportional combination nightlight intensity and geographical population data. By combining data, unwanted artefacts such as blooming, saturation, lack...