Pacific island countries are highly vulnerable to various natural disasters which are destructive, unpredictable and occur frequently. The frequency and scale of these shocks heightens the importance of medium-term economic and fiscal planning to minimize the adverse impact of disasters on economic development.

Early warning response team receiving state of the art mobile phones to be used for automated reporting - Pic by Martin Chiwanda Early warning response team receiving state of the art mobile phones

The Department-related Parliamentary Standing Committee on Home Affairs, present this Two Hundred Eleventh Report on 'The Cyclone Ockhi - Its Impact on Fishermen and Damage Caused by it '. A very severe cyclonic storm „Ockhi‟ hit the coast of Tamil Nadu, Kerala and Lakshadweep, during November-December 2017, wreaking unprecedented havoc.

This publication takes forward the 12 action points adopted at the First Asian Science and Technology Conference for Disaster Risk Reduction (ASTCDRR) as a contribution to the global ‘Science and Technology Roadmap’.

This short report presents a selection of the key findings, achievements and lessons learned from the Himalayan Climate Change Adaptation Programme (HICAP) over the period 2012– 2017. This summary report focuses on selected HICAP approaches to science, action research, pilot activities, and communications and outreach.

The Public Accounts Committee (2017-28) present this Hundred-Second Report (Sixteenth Lok Sabha) on action taken by the Government on the Observations/Recommendations of the Committee contained in their Twenty-Fifth Report (Sixteenth Lok Sabha) on `Disaster Preparedness in India'.

The UN Office for Disaster Risk Reduction (UNISDR) announced the beginning of an historic effort to collect comprehensive data on disaster losses as UN Member States implement the global plan for reducing such losses, the Sendai Framework for Disaster Risk Reduction.

Impact-based forecasting and warning services aim to bridge the gap between producers and users of warning information by connecting and increasing synergies between the components of effective early warning systems. We tested qualitatively whether a warning message based on colour codes is understandable and useful to trigger risk mitigation actions at the local level in the flood-exposed communities of Rajapur and Ghorjan unions in Sirajganj district, Bangladesh.

A team of researchers have built an Artificial Intelligence (AI) system that can detect earthquakes faster than any other existing devices.

A new study identifies a method for predicting the likelihood of damaging hailstorms in the United States—up to three weeks in advance.

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