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-year anniversary of the project launch, on Saturday 26 March, these records have now been made publicly available in the official Met Office national record, extending it back 26 years to 1836. The volunteers’ efforts have revealed some new records for extreme dry and wet months across the UK

Scottish Highlands. The course of mean monthly rainfall for 1981 - 2010 for 4 sites is shown below. Whilst rainfall is generally welldistributed through the year, there is a seasonal pattern. The driest season is spring whilst in the wetter upland areas there is an autumn/winter maximum, when

proxy observations (see ‘What do the projections show in recent climate?’ for more details). In the recent climate (1980-2000), the Global PPE-15 and Regional RCM-12 models agree well with the proxy observations in terms of duration and magnitude of the summer dry season, but show a delay in season

of these extreme events continue to rise as long as we continue to emit greenhouse gases. The science is clear that the faster we reduce our emissions of greenhouse gases, the more we can avoid the most severe impacts of climate change.”  Climate change may also lead to wetter conditions in some places

Strong winds and flooding from storm Angus, November 2016 The first named storm of the 2016-2017 season brought some damaging winds to the south coast, accompanied by heavy rain causing flooding mainly across parts of south-west England. Gusts in exposed coastal locations reached 60 to 70 Kt (69

-season sea surface temperatures in the tropical Atlantic and Pacific. The detailed methodology is described in Part 2. For this forecast the GloSea5 component comprised an aggregation of 42 GloSea5 predictions (ensemble members) initialised between 23 January and 12 February which cover the period

and WP-MIP Machine Learning Emulation of Climate Change Projections for Southeast Asia 12:00 Discussion groups 13:00 Group photo 13:05 Lunch + Poster Session 2&3 14:00 Plenary debrief Ron McTaggart- Cowan Chen Chen ECCC CCRS Session 2b: AI/ML models and integration with seamless physical model

and WP-MIP Machine Learning Emulation of Climate Change Projections for Southeast Asia 12:00 Discussion groups 13:00 Group photo 13:05 Lunch + Poster Session 2&3 14:00 Plenary debrief Ron McTaggart- Cowan Chen Chen ECCC CCRS Session 2b: AI/ML models and integration with seamless physical model

results, referred to as the “new” projections. The maps presented here cover all four seasons, whereas those in Harris et al (2022) were mainly restricted to winter and summer. Here, we show projected changes for the RCP4.5 scenario during 2040-2059 as well as covering RCP8.5 responses for 2070-2089

unpredictable for a while now, the traditional seasons have changed, the wet season that was expected between February and March is no longer consistent. Livestock has been affected, with huge losses reported from the surrounding Kraals too. The animals do not fetch good prices at the market because