Implementing a routine and standard approach for the automatic collection of socio-economic impact observations for impact-based forecasting and warning

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An operational IoT-based slope stability forecast using a digital twin

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Long-term precipitation events in the eastern part of the Baltic Sea region

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A seamless blended multi-model ensemble approach to probabilistic medium-range weather pattern forecasts over the UK

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Quantile-based bias-correction of extreme rainfall: Pros & cons of popular methods for climate signal preservation

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Disaster relief needs community trust — authorities must earn it

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Research gaps and challenges for impact-based forecasts and warnings: Results of international workshops for High Impact Weather in 2022

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The nature-based solution implementation gap: A review of nature-based solution governance barriers and enablers

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Independent demonstration of a deep-learning system for rainfall-induced landslide forecasting in Italy

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Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides

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Early warning of complex climate risk with integrated artificial intelligence

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Effective Adaptation Options to Alleviate Nuisance Flooding in Coastal Megacities—Learning From Ho Chi Minh City, Vietnam

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Barriers and enablers to stakeholder engagement in the co-creation of disaster risk reduction solutions

Journal article Uploaded on June 12, 2026

Lost water bodies and a flooded city – Counterfactual scenarios of the extreme Chennai flood highlight the potential of nature-based solutions

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Multi-Hazard Early Warning Systems in the Sendai Framework for Disaster Risk Reduction: Achievements, Gaps, and Future Directions

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Disaster early-warning systems can succeed — but collective action is needed

Journal article Uploaded on June 12, 2026