Category Archives: Climate modelling

How can we contribute to extreme event attribution in the Arctic?

Posted on 6 July, 2020 by danaallen

By: Daniela Flocco News of broken temperature records, droughts and extreme climate events are nowadays constantly present in newspapers and on social media. The study of the connection between extreme and global climate changes has become subject of an area … Continue reading →

Posted in Climate change, Climate modelling, Cryosphere | Leave a comment

What is “net zero” for methane?

Posted on 23 March, 2020 by danaallen

By: Bill Collins Recent research is suggesting that the way methane is accounted for in climate targets overemphasises its contribution to climate change at the end of the century. This might mean that countries or sectors (e.g. agriculture) with large … Continue reading →

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Desert Dust in the Atmosphere: Giant Particles, Giant Consequences?

Posted on 3 February, 2020 by danaallen

By: Claire Ryder As I write, storm Gloria decays over the Mediterranean Sea, while large amounts of desert dust whipped up by strong winds over the Sahara desert have been whirled in to action by Gloria and remain in the … Continue reading →

Posted in Aerosols, Climate, Climate modelling | Leave a comment

A Tipsy Earth?

Posted on 20 January, 2020 by danaallen

By: Jonah Bloch-Johnson Hi. I’m Jonah, a scientist here at the UoR, and I study whether global warming will be more like drinking water, soda, or beer. What do I mean by that? Let me explain. Both thirst and the Earth’s … Continue reading →

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The latest on aerosol radiative forcing

Posted on 18 November, 2019 by danaallen

By: Nicolas Bellouin Aerosols are tiny liquid or solid particles suspended in the Earth’s atmosphere. Some aerosols form naturally, like the sea spray emitted by breaking waves, the mineral dust that form sandstorms, or smoke from wildfires. But human activities, … Continue reading →

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Don’t (always) blame the weather forecaster

Posted on 28 October, 2019 by danaallen

By: Ross Bannister There are (I am sure) numerous metaphors that suggest that a small, almost immeasurable event, can have a catastrophic outcome – that adding the proverbial straw to the load of the camel will break its back. In 1972, … Continue reading →

Posted in Climate, Climate modelling, data assimilation, Numerical modelling, Predictability | Leave a comment

High-resolution insights into future European winters

Posted on 21 October, 2019 by danaallen

By: Alexander Baker Figure 1: Observed UK rainfall anomaly as a percentage of 1981-2010 monthly average for (a) December 2013, (b) January 2014, and (c) February 2014. Figure from Huntingford et al. (2014). Most – roughly 70% – of Europe’s winter … Continue reading →

Posted in Climate change, Climate modelling, extratropical cyclones, Numerical modelling | Leave a comment

The consequences of climate change: how bad could it get?

Posted on 7 October, 2019 by danaallen

By: Nigel Arnell The United Nations Climate Action Summit held in New York on 23rd September was meant to be the occasion where countries and industry organisations made stronger commitments to reduce the emissions of the greenhouse gases that are … Continue reading →

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Effect of the North Atlantic Ocean on the Northeast Asian climate: variability and predictability

Posted on 19 August, 2019 by danaallen

By: Paul-Arthur Monerie North East Asia has warmed substantially after the mid-1990s leading to an increase in temperature extremes and to societal impacts (Dong et al., 2016). Predicting the variability of the North East Asian climate is therefore of primordial interest … Continue reading →

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Why was there decadal increase in summer heat waves over China across the mid-1990s?

Posted on 5 August, 2019 by danaallen

By: Buwen Dong Heat waves (HWs), commonly defined as prolonged periods of excessive hot weather, are a distinctive type of high-temperature extreme (Perkins 2015). These high-temperature extremes can lead to severe damage to human society and ecosystems. In our studies, … Continue reading →

Posted in Aerosols, China, Climate, Climate change, Climate modelling | Leave a comment