Documents and publications

Explore a comprehensive collection of publications, reports, and documents that focus on disaster risk and resilience.

These resources offer insights, best practices, and research aimed at mitigating the impact of disasters. Whether you're seeking the latest research, policy recommendations, or case studies, this library supports knowledge sharing and informed decision-making in building safer, more resilient communities.

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Documents and publications
The aim of the paper is to address the major development challenges faced by low- and middle-income geographies affected by fragility, conflict, and violence (FCV), which hinder efforts to alleviate extreme poverty and promote equity.
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Documents and publications
The September newsletter is a summary of achievements, useful tools for experts involved in the management of cultural heritage at risk, updates on specialised training and much more.
Identifying regional hotspots of heatwaves, droughts, floods, and their co-occurrences
Documents and publications
This paper presents a framework to aid in the selection of optimal environmental indicators for detecting and mapping extreme events and analyzing trends in heatwaves, meteorological and hydrological droughts, floods, and their compound occurrence.
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UN resolutions and reports

A/79/268

The present report has been prepared pursuant to the request of the General Assembly in its resolution 78/152 on disaster risk reduction.
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Documents and publications
This issue discusses biodiversity impacts on climate change and explores interlinked relationships.
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Documents and publications
This Country Climate and Development Report captures the interplay between development challenges and climate change and climate policies in Ecuador, with the objective of identifying synergies and tradeoffs.
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Documents and publications
This publication refers to an initiative aimed at improving people's awareness and knowledge of landslides and their risks.
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Documents and publications
This review aims to overview achievements and challenges in the use of artificial intelligence (AI) techniques to improve the prediction of extremes at the subseasonal to decadal timescale.

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