This study aims to analyze the spatiotemporal characteristics of drought (duration, frequency, severity, intensity) over Madagascar during 1981–2022 by using the Standardized Precipitation Index (SPI-3, SPI-6, and SPI-12). Additionally, impacts of drought on vegetation over the studied area were assessed based on an evaluation of the relationship between SPI and the Normalized Difference Vegetation Index (NDVI) during 2000–2022.

The Mediterranean Sea has been warming rapidly since 1980, and its basic thermodynamic effect acts to boost hail in the higher-risk parts of Europe. Climate model experiments indicate the Mediterranean warming is mainly caused by rising greenhouse gases, with reduced anthropogenic aerosols contributing too. A review of research and data revealed hail losses rising at around 2 % per year over the same period. Moreover, the trajectory of anthropogenic forcings suggests hail risk will keep rising.

This study constructs an indicator-based composite framework and assesses urban resilience to typhoons in China's seven major river basins. The results verified the spatial heterogeneity, and the calculated resilience score in certain circumstances did not match the strength of city economy. The analysis is helpful for the government to enhance capability of comprehensive resilience in specific dimensions and provides a reference in probing resilience assessment confronting typhoon disasters.

Considering the structural complexity related to the internal architecture of active and capable faults, seismic hazard may be linked to different fault attributes depending on the fault domain crossed by a linear infrastructure. We propose a structural geology-based approach for the preliminary study of the area potentially affected by earthquake-induced surface ruptures during infrastructural design, based on the geometric relationships between the active fault and the infrastructure itself.

Populated coastal regions in the Mediterranean are known to be severely affected by extreme weather events that are initiated over maritime regions. These weather events are known to pose a serious problem in terms of numerical predictability. Different data assimilation techniques are used in this study with the main aim of enhancing short-range forecasts of two challenging severe weather events.

The Marmolada Glacier collapse (3 July 2022), one of the deadliest in the Alps, caused 11 fatalities and occurred during an anomalously warm summer. Analysis links the failure to the combined action of permafrost degradation, elevated ice temperatures, hydrostatic pressure, hydraulic jacking and reduced basal friction. No single factor alone explains the failure. The event highlights how climate-driven thermal and hydraulic factors increasingly threaten the stability of cold mountain glaciers.

With the increasing negative impacts of extreme weather events globally, it is crucial to align efforts to manage disasters with measures to adapt to climate change. We identify challenges in systems and organizations working together. We suggest that collaboration across various fields is essential and propose an approach to improve collaboration, including a framework for better stakeholder engagement and an open-source data system that helps gather and connect important information.

We evaluated a multi-site stochastic regional weather generator (nsRWG) for its ability to capture the cross-scale extremity of heavy-precipitation events (HPEs) in Germany. We generated 100 realizations of 72 years of daily synthetic precipitation data. The performance was assessed using WEI and xWEI indices, which measure event extremity across spatiotemporal scales. The results show that nsRWG simulates the extremity patterns of HPEs well, although it overestimates short-duration small-extent events.

This study focuses on the Yangtze River Delta Urban Agglomeration (YRDUA), where we determined flood risk assessment indices across different dimensions, including hazard, exposure, vulnerability, and resilience. We constructed a flood risk assessment model using automated machine learning and the analytic hierarchy process to examine the spatial and temporal changes in flood risk in the region over the past 30 years (1990 to 2020), aiming to provide a scientific basis for flood prevention and resilience strategies in the YRDUA.

The article refers to torrential floods on Madeira Island. Antecedent daily rainfall was analysed in terms of its correlation with the maximum rainfall within 24 h. The statistical analysis has resulted in predefined rainfall thresholds, which can be useful for predicting floods.

Barrier islands are important to their adjacent mainland coastline. Breaching of barrier islands creates a channel of water between the ocean and bay and increases the storm surge along the mainland coast. To examine how breaching impacts the coast, we simulated a hurricane and varied the number, locations, and sizes of different breaches. We learned that the total breach area directly impacts coastal flooding and that breach locations are an important predictor of flooding.

Hail represents a natural hazard in Germany and has potentially substantial economic and environmental impacts, but it often receives less attention than other weather phenomena. In this study we focus on hail frequency, sizes and spatial distribution in Germany based on crowdsourcing and weather radar data. We compare different algorithms based on weather radar data with crowdsourced data and show the annual and diurnal cycle of hail in Germany.

West Africa is very vulnerable to river floods. Current flood hazards are poorly understood due to limited data. This study is filling this knowledge gap using recent databases and two regional hydrological models to analyze changes in flood risk under two climate scenarios. Results show that most areas will see more frequent and severe floods, with some increasing by over 45 %. These findings stress the urgent need for climate-resilient strategies to protect communities and infrastructure.

We used a land surface computer model to forecast how climate change will impact wildfires in Greece. Our results show a significant increase in future burnt area due to hotter, drier climate. Allowing vegetation to change with the climate lessens this increase overall, since fire is no longer igniting in areas already burnt, and it even led to projected decreases in the agricultural areas in the north of the country.

Flash floods significantly impact terrestrial and marine systems, yet research tracing their entire path from atmospheric origins to sediment deposition is limited. Our study bridges this gap by analyzing satellite data, meteorological reports, and in-situ floodwater and sediment measurements. Findings reveal links between atmospheric disturbances, flood dynamics, and sediment transport, enhancing understanding of how extreme weather affects hyperarid coastal urbanized areas and marine systems.

In 2023, Rio de Janeiro experienced record-breaking heat waves linked to climate change and El Niño. Our study shows that global warming made these extreme temperatures at least 2 °C hotter than in pre-industrial times. Heat-related deaths surged, with climate change contributing to one in three fatalities during the peak event. Without adaptation, future heat waves will claim even more lives. This underscores the urgent need for policies to mitigate climate impacts from escalating heat threats.

This paper emphasizes the significance of evaluating changes in nearby shorelines prior to undertaking large-scale coastal construction projects, thereby offering insights into strategies that can minimize potential damage. As a result, the study provides an opportunity to explore the consequences of harbor and fishing port development, as well as large-scale reclamation, which can deform wave fields in coastal areas and intensify coastal erosion.

The influence of flood types, i.e., fluvial, flash, and urban pluvial floods, on whether and how flood-affected people prepare for flooding is unclear but relevant for effective risk communication. Survey data revealed the influence of flood type on the adaptive behavior of households recently affected by flooding. Most respondents were motivated to protect themselves, but flood-type-specific differences have been identified to enhance future risk communication strategies.

Landslide frequency (how often landslides occur) is needed to assess landslide hazard and risk but has rarely been quantified at near-continental scales. Here, we used statistical models to estimate landslide frequency across the United States while addressing gaps in landslide reporting. Our results showed strong variations in landslide frequency that followed topography, earthquake probability, and ecological region and highlighted areas with potential for widespread landsliding.

In our simulations increased drought frequencies lead to a drastic reduction in biomass in temperate pine monoculture and mixed forests. Mixed forests eventually recovered as long as drought frequency was not too high. The higher resilience of mixed forests was due to higher adaptive capacity. After adaptation mixed forests were mainly composed of smaller, broadleaved trees with higher wood density and slower growth. This would have strong implications for forestry and other ecosystem services.

We tested how well fully data- and model-driven avalanche forecasts compare to human-made forecasts, which also integrate added context like field observations or model output. Using data from Switzerland over three winters, we found that models – even without this extra input – performed nearly as well. While human forecasts still have a slight edge, model predictions already offer reliable support for daily avalanche forecasting.

This study examines how hydraulic head levels in canal dikes respond to heavy rainfall, potentially causing instabilities and flooding. Using time series models and simulating long-term head levels, we identified clusters of dikes where head peaks are driven by similar rainfall events. Statistical analyses show that extreme and yearly conditions are close. However, extreme conditions are expected to become more frequent due to climate change, though some dikes will be less affected than others.

Utilizing a survey that includes respondents from seven societal sectors, the role of water dependency in drought vulnerability was explored. Differences were found in the perceived impact of vulnerability factors on drought risk in relation to water dependency (i.e., dependency on either soil moisture or groundwater and surface water). The results highlight the importance of accounting for water dependency and clearly defining the drought hazard in drought vulnerability or risk assessments.

Seismic hazard evaluation is required for establishing earthquake-resistant building codes. Our aim is to improve the quantification of seismic hazard in the Levant by including our knowledge on how faults may be interconnected. We build an earthquake forecast by redistributing the energy stored in the fault system over all possible earthquake ruptures. This interconnected fault model leads to seismic hazard maps where hazard is as high on secondary fault branches as on main branches.

We compare recent unrest episodes at the Campi Flegrei caldera (Naples, Italy) with phenomena that occurred during the historical eruption in 1538. Besides proposing a new, accurate reconstruction of the ground movements in the area since the 8th century BCE, we deduce a striking similarity of the present unrest with the precursors to the 1538 eruption. We then infer that, if the ground uplift continues, earthquakes of up to magnitude 5 are expected, as well as a considerable eruption risk in the next few decades.

In volcanic fields, the location of an eruptive vent controls the hazards, their intensities, and ultimately the impact of the eruption. Estimates of where future eruptions are likely to occur inform evacuation plans, the (re)location of vital infrastructure, and the placement of early-warning monitoring equipment. Current estimates assume that locations with more past-vents are more likely to produce future-vents. We provide the formulae for an alternative hypothesis of magma depletion.

Droughts can impact agriculture and regional economies, and their severity is rising with climate change. Our research introduces a new system, the Australian Agricultural Drought Indicators (AADI), which measures droughts based on their effects on crops, livestock and farm profits rather than on traditional weather metrics. Using climate data and modelling, AADI predicts drought impacts more accurately, helping policymakers prepare for and respond to financial and social impacts during droughts.

Spain combines public funds with a state-backed insurance program for natural disaster recovery. Our study examines Storm Gloria, which struck Catalonia in 2020, causing severe damage. By systematically collecting and classifying direct losses, we offer insights into the role of government interventions in disaster response, define multi-hazard municipalities based on a loss database, and provide initial insights into loss assessments relative to annual occurrence probability.

Although several previous studies have been conducted to assess soil salinity in Vietnam, most have focused on assessing soil salinity and farmers' adaptive capacity in the Mekong Delta. Few studies have been conducted in the Red River Delta. The Red River Delta is one of the key agricultural regions in Southeast Asia. Therefore, assessing soil salinity and farms' adaptive capacity in this area is necessary.