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of HadCM3 (Collins et al., 2011), that used a set of parameter perturbations corresponding to the relevant HadRM3-PPE member. Time series of GMST(t) are smoothed 1 prior to fitting the EV parameters, in order to remove the influence of internal variability and isolate the long-term effects of climate

climate models for downscaling . . . . . . . . . . . . . . . . . . . . 6 2.3 Experimental design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3 Results: Met Office Simulations and Analysis 8 3.1 Environmental factors influencing tropical cyclones

Yoko works to quantify and reduce uncertainty in climate change, through understanding and improving the representation of cloud-radiative processes.

feedback is currently the largest uncertainty in GCM predictions of climate sensitivity under climate change. Yoko works on understanding cloud-radiation fields and feedbacks using satellite observations and GCMs, including the development of metrics to assess radiative feedbacks in climate models

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in modulating climate variability via the influence of sea surface temperatures (Taylor et al. 2002, 2011; Stephenson et al. 2007; Karmalkar et al. 2012). Most of the previous sensitivity studies of RCMs to domain size have dealt with continental or semi-continental regions dominated by land areas

September 2019 Met Office Hadley Centre Climate Briefing Note Global sea level rise – the latest evidence • Observations show sea levels are rising at an accelerating rate and human influence is the dominant cause. • Climate projections show sea level will continue to rise for several centuries

/Green Climate Fund); National Influence � � Policy influencing through enhanced quality and communication of data: Enhanced weather and climate services can underpin more effective policy making and strategic planning (e.g. through national development and sector strategies). Proposals should

in succession, the Met Office global temperature forecast for the coming year, is slightly lower than some previous years since 2015. This is largely because of the influence of La Niña in the tropical Pacific, where sea surface temperatures are below average. La Niña has a temporary cooling effect

Areas of expertise Interaction between convection and large-scale circulation Climate model development and evaluation Regional hydrological cycles and related extremes Radiative climate feedbacks Publications by Lorenzo Tomassini Current activities Lorenzo is a Senior Scientist on convection

projects. Supported by: Fund Manager: Delivery Partners: � They can also support learning beyond your organisation and contribute to the global evidence base on how to best improve climate and weather information services, thereby allowing others to deliver more effective interventions