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, and overcoming barriers’ allowed participants to share their experiences of how they use climate information to influence and inform decisions, as well as to identify associated challenges and possible solutions. The second built on this with a focus at the country level and discussions around ‘Access

Skip to main content Menu Weather & climate Research programmes Services About us Careers Met Office Search site Search x Back Weather & climate Everything you need to know about the forecast, and making the most of the weather. Find a forecast Warnings & advice Warnings & advice UK weather

Collaborative research from CSSP China used state-of-the-art climate models to uncover how global rainfall variability may change in the future.

drier. Although there’s been considerable research into how climate change may influence changes in the overall amount of rainfall in the future, research into rainfall variability is less understood. Rainfall variability describes how rainfall may fluctuate over time and tells us how big

. Their livelihoods are highly dependent on the weather. Yet very few of them receive any useful weather or climate information from the Kenya Meteorological Department (KMD) at present. This proposal seeks to develop a series of downscaled weather forecasts that are already being produced and disseminated by many

. Their livelihoods are highly dependent on the weather. Yet very few of them receive any useful weather or climate information from the Kenya Meteorological Department (KMD) at present. This proposal seeks to develop a series of downscaled weather forecasts that are already being produced and disseminated by many

Skip to main content Menu Weather & climate Research programmes Services About us Careers Met Office Search site Search x Back Weather & climate Everything you need to know about the forecast, and making the most of the weather. Find a forecast Warnings & advice Warnings & advice UK weather

Mark is science manager of the climate attribution team.

Areas of expertise Climate Attribution Climate Monitoring UK Climate Urban climate Regional climate prediction Land surface modelling My Publications - McCarthy, M Current activities Mark's work is to lead the climate attribution team to provide analysis of the human influence on global

Cath leads the Understanding Climate Change area which includes work on understanding and modelling key physical climate processes and feedbacks.

Global Climate Modelling, Global Water Cycle, Extreme events, Climate sensitivity and feedbacks to Man's influence and development of Seamless Ensemble Prediction systems. Career background Cath joined the Met Office in 1986 after completing a first degree in Mathematics at the University of Leeds

two heatwaves, past studies have shown it is virtually certain that human influence has increased the occurrence and intensity of extreme heat events such as this.   "Numerous climate attribution studies have shown that human influence increased the chance that specific extreme heat events would occur

Traditional risk assessments in the UK have focused solely on wind speed, overlooking critical factors that influence windthrow such as antecedent rainfall, wind direction, and seasonal elements like leaf cover. By analysing power outage data from 2006 to 2018, researchers have demonstrated