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Nearly three quarters of the global population can expect strong and rapid changes in extreme temperatures and rainfall in the next 20 years unless greenhouse gas emissions are cut dramatically, according to a new study.
Research based on an analysis of November 2023’s Storm Ciaran suggests weather forecasts that use machine learning can produce predictions of similar accuracy to traditional forecasts faster, cheaper, and using less computational power.
Winter storms that provide crucial snow and rainfall to northern India are arriving significantly later in the year compared to 70 years ago exacerbating the risk of catastrophic flooding while also reducing vital water supplies for millions of Indians.
Build climate resilience in your business as you learn how climate intelligence helps make decisions that mitigate risks.
The USA, Mexico and countries in the Caribbean are being battered by hurricane-induced ocean waves that have grown in areal size by 80% over the past 40 years, a new study has found.
A new £1 million international project is set to provide research to better understand and predict flooding on the Nile River in Uganda and South Sudan.
The UK and the rest of the world will be vulnerable to larger swings between flooding and droughts as global temperatures rise, a new study has found.
Extreme weather caused by climate change - such as flooding - will be to easier to prepare for after scientists developed a new method that empowers citizens to identify solutions to the threats their communities face.
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The Sendai Framework Voluntary Commitments (SFVC) online platform allows stakeholders to inform the public about their work on DRR. The SFVC online platform is a useful toolto know who is doing what and where for the implementation of the Sendai Framework, which could foster potential collaboration among stakeholders. All stakeholders (private sector, civil society organizations, academia, media, local governments, etc.) working on DRR can submit their commitments and report on their progress and deliverables.
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