Documents and publications

This article compares typhoon communication in the Philippines and Vietnam, showing how political structures, corruption, propaganda and media control shape disaster visibility, often prioritising regime preservation over public safety.

This article investigates forces shaping what becomes visible during typhoon disasters across contrasting regime types and develops a model examining how political structures and propaganda machinery determine information flows when disasters strike

This updated Disaster Management Reference Handbook provides a comprehensive picture of Fiji’s disaster management architecture, socioeconomic vulnerabilities, hazard profile, and logistical infrastructure.

This study examines nine case studies across the Mediterranean to analyse different mechanisms that contribute to institutional mainstreaming of nature-based solutions (NbS) for climate resilience in urban and peri-urban areas.

This landscape report examines how misinformation, disinformation and other forms of information pollution are affecting climate action and responses to climate-related disasters, and how different actors are responding.

Using social media and meteorological data, this study quantifies the mismatch between physical heat exposure and public emotional responses from 2010 to 2024 in China.

By analysing global subnational net migration data, this study shows that associations between climate extremes and migration vary by hazard type, timing, consecutive events, income level and pre-existing migration context.

Combining Global Fire Atlas records with Afrobarometer surveys of more than 100,000 people in 34 African countries, this study shows that people living close to wildfires are more likely to vote, contact local councillors and attend community meetings.

This study assesses earthquake-related tsunami hazard across the Anguilla bank through numerical simulations of selected seismic rupture scenarios.

This paper examines the relationship between climate risks and education through a systems lens, combining evidence on impacts with an analysis of policy frameworks and implementation constraints.

This policy brief draws on a mixed-methods study comprising a national survey of 1,097 adults in England and semi-structured interviews with 29 heat risk communicators.

This report compiles global best practices on industrial hazard mitigation and management, drawing lessons from major incidents, safety frameworks and international experience to strengthen risk-informed governance, preparedness, resilience and safety.

Study assessing the exposure of Brazil’s Social Assistance Reference Centers (CRAS) to flood and landslide risks. By integrating IDCRAS and BATER data, it identifies vulnerable facilities and supports preparedness, contingency planning and DRR.

This paper examines institutional heat risk communication in England. Interviews with 29 practitioners revealed strong alert and coordination systems, but uneven public engagement, limited evaluation and capacity constraints that hinder effectiveness.

This paper presents the Community Capacity Co-design Process (C3P), a trauma-informed, seven-step framework that enables communities to localise and evaluate their own disaster response capacities.

This study examines how flooding and fire are experienced and managed in Khan Road informal settlement, KwaZulu-Natal Province, South Africa.

This study introduces a structured framework for compiling a multi-hazard inventory of transport disruptions using open access news media.

This study develops a standardised, reproducible, and operational methodology to screen tsunami risk at the community scale across the Caribbean Basin, based exclusively on open and globally consistent datasets

This study presents a detailed and refined glacial lake outburst floods (GLOFs) risk assessment using a data-driven machine learning framework.

This Climate and Health Vulnerability Assessment (CHVA) sets out to understand how climate change is affecting health outcomes and Tunisia’s health system, and what opportunities exist for health system adaptation.

This Ready2Respond (R2R) diagnostic assesses Liberia’s emergency preparedness and response (EP&R) capacity across five components

The report concludes that the 26 August 2026 Bhotekoshi flash flood appears to have been triggered by an ice, rock and soil mass failure around the Deding/Langtang region rather than intense localized rainfall.

This paper develops a mechanism-based framework for understanding communication-related vulnerability in flood-prone communities. Survey results from Pakistan highlight trust, literacy, access and information barriers that limit effective warning response

This study introduces the ICLEWS framework and assesses local early warning systems in 2,289 Brazilian municipalities. Results highlight gaps in staffing, financing, social participation and governance, underscoring the need for stronger local capacities.

Study of climate resilience governance in UK urban areas. Through a scoping review and policy analysis, it finds fragmented responsibilities, inequitable vulnerability and a lack of common resilience standards, proposing a place-based resilience benchmark

This paper introduces the FLOSEV flood severity scale, an impact-based classification system using fatalities, affected municipalities and damage indicators. Tested on more than a century of Italian floods, it enables comparison of flood impacts.

This snapshot examines climate-related school disruptions in 2025, finding that at least 171 million students from pre-primary to upper secondary education experienced disruption across 106 countries and territories.

This case study of Vietnam’s heat early warning system finds that heat monitoring and forecasting are established, but risk knowledge, preparedness, targeting of warnings and institutional coordination remain limited.

Review of disaster management research in Bangladesh (2000–2024). The paper identifies major thematic trends, gaps and challenges, highlighting a shift toward resilience-based approaches while calling for stronger governance, inclusion and coordination.

Planned relocation in Fiji can profoundly affect communities’ identities, traditions and connections to land. The HMCCC Programme supported the development of Standard Operating Procedures and trainings for government officials to make

This study shows that antecedent drought development is linked to distinct, region-dependent pathways from drought to extreme precipitation, providing a basis for anticipating compound hydrological extremes. Rapid transitions from drought to extreme

This study explores how forests resist and recover from compound heat and moisture extremes and how tree diversity mediates these responses, using U.S. forest inventory data along with satellite-based stability estimates.

This study reflects on the probability of observing an extreme event of interest within a finite dataset, whether derived from observations or model simulations, to inform risk assessment or climate adaptation efforts.

This report draws on four case studies and insights from the Mobile for Humanitarian Innovation (M4H) programme’s own in-country experience to identity practical lessons for mobile-enabled EWS implementation in low- and middle-income (LMIC) contexts.

This toolkit provides a practical, step-by-step framework to support cities, urban local governments, planners, practitioners, and community stakeholders in developing and implementing Heat Action Plans (HAPs) to address the growing risks of extreme heat.

The September 2026 GEOGLAM Crop Monitor for Early Warning report provides an overview of global crop conditions with a focus on regions vulnerable to food insecurity.

This guidance note outlines practical approaches to strengthening information integrity within risk communication–before, during, and after disasters. Preparing for and managing information risks is an integral part of disaster risk reduction efforts.

This study examined the sensitivity of flood-frequency estimates to the length of hydrometric records using the annual maximum series (AMS) and partial value series (PVS) approaches at 15 hydrometric stations in the Karkheh Basin, Iran.

This research examines how geographic spread approaches can be adapted to account for the specific travel patterns and epidemiological context of the DRC–Uganda border. A geographic spread approach is used to estimate the burden of infectious disease.

This study investigates how extreme flood events can indirectly impact the global supply chain through production disruptions. Using a data-driven, agent-based network model, the research simulates the transmission and amplification of shocks.

This study applied an integrated flood risk assessment framework to evaluate climate-driven compound flood risk in Broadland, with particular emphasis on how methodological choices influence exposure, damage and spatial risk estimates.

This study compares community experiences of slow- and rapid-onset flooding during Australia’s 2022–2023 floods. While both caused long recoveries, slow-onset floods created prolonged uncertainty, unique preparedness challenges, and delayed recovery needs

This review examines school disaster resilience assessment tools published between 2015 and 2024. Existing tools address structural, non-structural and functional resilience, but often overlook psychosocial resilience and local context adaptation.

This study uses observations and machine learning to estimate bankfull river discharge globally. Results show that bankfull return periods vary significantly across climate zones, challenging the common 2-year assumption used in global flood models.

This report identifies key challenges in preparing for future changes to the critical risk landscape, drawing on reports, ‘Survey on Governance of Critical Risks’ and ‘Survey on Governance of Critical Infrastructure Resilience’ carried out in 2022-25.

This paper presents LiveCyc, a machine learning system that converts tropical cyclone forecasts into probabilistic 1-km wind forecasts. Evaluation across 16 U.S. hurricane landfalls shows well-calibrated results and supports optimized warning triggers.

A survey of 140 Indonesian operational meteorologists finds that terminology ambiguity and reliance on weather station data hinder heat warning dissemination. Past successful warnings and a liberal warning philosophy strongly influence warning decisions.

Two behavioural experiments in China show that government-issued disaster warnings generate higher trust than AI warnings. Consistent government-AI messages increase trust and protective intentions, while conflicting warnings increase anticipated regret.

Study finds that rapid root-zone soil moisture depletion during flash droughts is more strongly linked to accelerated wildfire spread than conventional drought conditions across the United States.

This study investigates the complex interplay between local knowledge, awareness, perception, and preparedness among residents of Bogura City, Bangladesh, in the context of earthquake risk.