Dr Sihan Li presents at AGU Fall Meeting

Posted on 3rd January 2018

The world’s largest Earth and space science meeting – the AGU Fall Meeting – took place in New Orleans, Louisiana, from 11-15 December. Post-doctoral Research Associate Dr Sihan Li (Meredith) attended the meeting to give several presentations on behalf of the climateprediction.net project. Her presentation Changing frequency of flooding in Bangladesh: Is the wettest place […]

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Human-caused warming intensified Hurricane Harvey’s rains

Posted on 14th December 2017

New research shows human-induced climate change increased the amount and intensity of Hurricane Harvey’s extreme rainfall. The new findings are published in Environmental Research Letters and were presented in a press conference on 13 December at the 2017 American Geophysical Union Fall meeting. During August 2017, Hurricane Harvey stalled over Texas and caused particularly extreme […]

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New index of warming due to human influence on climate released

Posted on 15th November 2017

A new index of warming due to human influence on climate was released this week in the journal Nature Scientific Reports. It exceeded 1°C above mid-19th-century levels in 2017 and is rising faster than ever before, leaving little time to achieve the goals of the Paris Climate Agreement. “Global temperatures may be pushed up temporarily […]

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Assigning historical responsibility for extreme events

Posted on 6th November 2017

Historical responsibility of individual countries and regions can now be quantified for specific extreme events A new paper by Dr Friederike Otto, Professor Myles Allen et al[1] describes how scientific advances make it possible to assign extreme events to human-induced climate change and historical emissions from individual countries. These developments could allow losses and damage […]

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Does rapid attribution stand test of time?

Posted on 3rd November 2017

Study revisits assessment of storm “Desmond” with more data to determine whether rapid attribution stands the test of time. A recent revisit of an attribution assessment of an extreme weather event carried out in late 2015 has found results similar to the ‘real-time’ analysis just after the event. During the days immediately after an extreme weather […]

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