Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-817-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-817-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Asset exposure data for global physical risk assessment
Institute for Environmental Decisions, ETH Zurich, Zurich, 8092,
Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss,
Zurich Airport, 8058, Switzerland
Dario Stocker
Institute for Environmental Decisions, ETH Zurich, Zurich, 8092,
Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss,
Zurich Airport, 8058, Switzerland
Thomas Röösli
Institute for Environmental Decisions, ETH Zurich, Zurich, 8092,
Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss,
Zurich Airport, 8058, Switzerland
David N. Bresch
Institute for Environmental Decisions, ETH Zurich, Zurich, 8092,
Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss,
Zurich Airport, 8058, Switzerland
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- A survival guide for assessing global fire risks to natural and human systems C. Steinmann et al.
- High resolution GDP modelling for climate risk assessments with an application to coastal flooding in Norway F. Barre et al.
- Increasing countries’ financial resilience through global catastrophe risk pooling A. Ciullo et al.
- Navigating and attributing uncertainty in future tropical cyclone risk estimates S. Meiler et al.
- Location, location, location: asset location data sources for nature-related financial risk analysis C. Christiaen et al.
- Multi-hazard vulnerability and impact intensification: Interactive hazards and impact compounding in coastal areas B. Tansel
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- A grid-level fixed-asset model developed for China from 1951 to 2020 D. Xin et al.
- Global multi-hazard risk assessment in a changing climate Z. Stalhandske et al.
- A Global Ensemble Forecast System (GEFS)-based synthetic event set of U.S. tornado outbreaks K. Malloy & M. Tippett
- Socioeconomic exposure to drought under climate warming and globalization: The importance of vegetation‐CO2 feedback T. Wang & F. Sun
- Uncertainty and sensitivity analysis for probabilistic weather and climate-risk modelling: an implementation in CLIMADA v.3.1.0 C. Kropf et al.
- Impact-based risk assessment of coastal infrastructure adaptation to climate change: a case study of hurricane risk in Nova Scotia, Canada B. Ryan & D. Bristow
- Integrating NTL Intensity and Building Volume to Improve the Built-Up Areas’ Extraction from SDGSAT-1 GLI Data S. Liu et al.
- Projected changes in European hail damage risk to buildings: Insights from 3 °C Pseudo Global Warming simulations with a km-scale regional climate model T. Schmid et al.
- EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings N. Milojevic-Dupont et al.
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al.
- A framework for building climate storylines based on downward counterfactuals: The case of the European Union Solidarity fund A. Ciullo et al.
- Economic impacts of sea level rise on China's coastal provinces under different adaptation strategies T. Wang et al.
- Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland C. Welker et al.
- Regional tropical cyclone impact functions for globally consistent risk assessments S. Eberenz et al.
- Sustainable Risk Mapping of High-Speed Rail Networks Through PS-InSAR and Geospatial Analysis S. Lee et al.
- DSCIM-Coastal v1.1: an open-source modeling platform for global impacts of sea level rise N. Depsky et al.
- State of Wildfires 2024–2025 D. Kelley et al.
- Towards operational impact forecasting of building damage from winter windstorms in Switzerland T. Röösli et al.
- A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA L. Riedel et al.
- Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA 1.0) compatible with Coupled Model Intercomparison Project (CMIP) climate data T. Le Guenedal et al.
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- Mapping and assessing drought losses in China: A process-based framework analysis T. Wang & F. Sun
- The Hurricane Damage Index (HurDI) R. Toumi & N. Sparks
- A generalized natural hazard risk modelling framework for infrastructure failure cascades E. Mühlhofer et al.
- Framing water as a financial risk: Reviewing the processes shaping a narrative T. Rudebeck
- Can urban land maturation and efficiency enhancement meet future economic growth demands in China’s coastal cities X. Luo et al.
- Intercomparison of regional loss estimates from global synthetic tropical cyclone models S. Meiler et al.
- Projected increases in shoreline erosion and potential flooding risk along China's sandy coasts under a warming climate X. Li et al.
- Projections and uncertainties of winter windstorm damage in Europe in a changing climate L. Severino et al.
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- Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2 S. Lüthi et al.
- Human populations in the world’s mountains: Spatio-temporal patterns and potential controls J. Thornton et al.
- A global dataset for steel aluminum and cement in-use stocks at 500 m gridded level 2000-2019 K. Sun et al.
- Estimating local agricultural gross domestic product (AgGDP) across the world Y. Ru et al.
- Asset-Level Climate Physical Risk Assessment and Cascading Financial Losses G. Bressan et al.
- Differential Fiscal Performances of Plausible Disaster Events: A Storyline Approach for the Caribbean and Central American Governments under CCRIF S. Hochrainer-Stigler et al.
- A generalized framework for designing open-source natural hazard parametric insurance C. Steinmann et al.
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Short summary
The modeling of economic disaster risk on a global scale requires high-resolution maps of exposed asset values. We have developed a generic and scalable method to downscale national asset value estimates proportional to a combination of nightlight intensity and population data. Here, we present the methodology together with an evaluation of its performance for the subnational downscaling of GDP. The resulting exposure data for 224 countries and the open-source Python code are available online.
The modeling of economic disaster risk on a global scale requires high-resolution maps of...
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