Berlin’s parks are vital for recreation, biodiversity, and climate resilience, yet they face growing challenges from socio-economic inequalities and climate change. Our review examines how factors like gentrification and extreme weather impact access to and sustainability of these parks. By analysing over 200 studies, we highlight the need for inclusive policies, community engagement, and climate-adaptive park designs to ensure that Berlin’s parks remain accessible, resilient, and socially just.

We developed a generative deep learning method combining generative adversarial networks and extreme value theory to simulate spatially resolved multi-hazards events across large regions. Tested on storms in the Bay of Bengal, the model captured spatial patterns of wind, pressure, and rainfall during storm events, enabling more realistic disaster risk assessments than traditional methods. This flexible framework can be applied to various hazards and regions for improved disaster planning.

The CoasTER geographic database provides erosion relevant characteristics (sediment type, land use, geomorphology, historical shoreline movement trend) for Europe’s coastal floodplains. Building on earlier erosion research, it also includes a coastal geomorphological typology incorporating hard engineering and other infrastructure. Analysis demonstrates that episodic/long-term erosion and coastal flooding interactions are widespread and an important aspect within any management strategy.

Fire in steep landscapes increases the potential for debris flows that can develop during intense rainstorms. To explore possible debris flow hazards, we utilize a computational model of the physical processes of debris flow initiation and runout. Such process-based models are computationally intensive and of limited use in rapid hazard assessments. Thus we build statistical surrogate of these physical models to examine how inundation footprints vary with rainfall intensity and time since fire.

Mathematical modelling is essential to support flood risk management. As these models simulate complex interactions between climate, the natural and the built environment, they unavoidably embed a range of simplifying assumptions. In this paper, we propose a more rigorous approach to analyse the impact of uncertain assumptions on modelling results. This is important to improve model transparency and set priorities for improving models.

When landslides dam rivers, the impacts can include catastrophic outburst flooding. This work defines a function that combines river valley widths and landslide volumes to find the likelihood that a river will be dammed by a potential landslide or ‘damability’. We apply the method to the Oregon Coast Range and find widespread high damability especially where rivers flow through steep mountains with strong rocks. Our new workflow is flexible and can be applied more broadly to other regions.

This study explored how sea level is changing along the China-Europe Sea Route. By combining satellite and in-situ observations with advanced modeling, the research identified ongoing sea level rise and an increasing frequency of extreme water level events in some regions. These findings underscore the importance of continued monitoring and provide useful knowledge to support long-term planning, coastal resilience, and informed decision-making.

The 2025 California wildfires revealed persistent gaps between what we know about reducing disaster risk and what communities actually do. Limited awareness, weak resources, misaligned incentives, and complex rules leave people exposed. Similar patterns appear in floods, earthquakes and other disasters worldwide, highlighting the urgent need for stronger institutions, clearer policies, and active community engagement to build fair, practical, and lasting resilience.

This proof-of-concept study presents a prototype Citizen and Community Science app that enables residents to document, classify, and report pluvial flood risks at neighbourhood scale in the Ahr Valley, Germany. Crowdsourced data feed into a Geo Data Warehouse to support municipal analysis and decision-making. Its open-source, scalable design strengthens public awareness and offers potential for global adaptation in urban flood risk management.

When ice buildup occurs on an energy infrastructure such as a power transmission line or a wind turbine, this can cause disturbances in energy production and transmission efficiency. In our study, we assessed how atmospheric icing conditions will change in the future climate in northern Europe. Towards the end of the century, the climate projections suggest a mostly decreasing trend in ice accumulation. However, the northern parts of Fennoscandia can locally experience increasing amounts of ice.

Estimating the frequency and magnitude of floods is challenging due to the limited length of streamflow records. Here, we explore whether an extensive archive of meteorological forecasts run over past dates can assist in this context. After processing and concatenating these data for use as input to a hydrological model, we derive flood statistics from simulated streamflow. Results are promising for the larger catchments studied, providing a valuable complementary perspective on rare floods.

Coastal flooding places millions of people and infrastructures at risk. In this study, we introduce a Europe-wide approach to identify areas exposed to coastal flooding. The approach combines information on how water levels change under storm conditions with a model that simulates how flood spreads across the land. We found that using simpler methods, as is often done, can make the results less reliable in places like Belgium and the United Kingdom.

Debris flows are fast-moving mixtures of rocks, sediment, and water that threaten mountain communities. Their speed is controlled partly by sliding at the flow base, but this has never been directly measured in nature. We built a novel sensor setup in Tyrol, Austria, to close this gap. Two events showed signs of partial occurrence of base sliding, strongest at the flow front. Future work will study more events and refine the approach to improve hazard prediction.

This paper presents the sudden weather-related events with the highest numbers of fatalities (≥ 20) over the territory of the Czech Lands (now the Czech Republic) in the 1851–2025 CE period, which were connected to or influenced by floods, windstorms, convective storms, thunderstorms, snow, and fog. For each of the 13 selected events, meteorological conditions, their course, accompanying circumstances, and selected fatality characteristics such as sex and age are described in detail.

This study proposes a vegetation-adaptive coherence threshold method to reduce vegetation-induced decorrelation in small baseline subset interferometric synthetic aperture radar (SBAS‑InSAR) landslide monitoring. By integrating vegetation coverage and the fifth-generation ECMWF atmospheric reanalysis (ERA5)-based atmospheric correction, the method improves deformation accuracy and phase unwrapping. Results show a 29.1 % gain in precision and 22 % more landslide detection.

Coastal storms place millions of people and infrastructures at risk. For this reason, we propose a method to estimate extreme total water levels in a consistent way across Europe, as this is the main indicator for coastal flooding. We consider local variations in tides, storm surges, waves, and beach slopes. We found that parts of Europe are affected differently, with tides being important on the Atlantic coast, storm surges in the Baltic Sea, and waves mattering most in the Mediterranean Sea.

To understand how earthquake-triggered landslides travel vast distances, we simulated a historic event lasting 87 seconds. We tracked how rocks broke apart and transferred energy. We discovered that rocks colliding at the back powerfully push the front forward. Once the falling rock mass expands enough, it flows like a liquid. This new knowledge helps predict future landslide paths and protect mountain communities from disasters.