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office 30 min Weather data cards activity A fun card activity to understand how different types of weather might influence people’s lives in different locations 20 min Weather action plan A hands-on group task to help local community prepare for future weather events 20 min Exploring climate change

important regions within the domain and c) to provide an estimate of the run time (or rate of simulation). The results of these tests then allow a suitable domain to be chosen. GUI panel: see section 5.2.1 4.1.10 Land-sea mask The influence of land and sea on the evolution of climate over all scales is very

KMD Case Study Opportunities for commercial weather and climate services serving the East African energy sector Kenya Meteorological Department and Tanzania Meteorological Agency The steady growth of the energy sector in East Africa means that it has the potential to develop rapidly. Although

. Acknowledgements The study is a product of a collaboration between the Adaptation Learning Programme (ALP) implemented by CARE International and work by CARE International and the International Research Institute for Climate and Society at Colombia University, under the Weather and Climate Information

as part of a wider methodology” 1. Introduction and Background - Intrac.org The Met Office has been commissioned by the UK Government’s Foreign, Commonwealth and Development Office (FCDO) to manage the Weather and Climate Information Services (WISER) programme, leading on its design, management

pressure was present over Atlantic Canada and Greenland. This region of high pressure influenced the path of Hurricane Sandy, causing it to make an unusual turn to the northwest before making landfall along the northeast coast of the US. The 2012 season was characterised by a high level of early season

Creating a new norm for impactful weather and climate services Lessons from the Weather and Climate Information Services for Africa (WISER) programme Outline of WISER and the learning process The Weather and Climate Information Services for Africa (WISER) programme aims to increase the resilience

in 2005. Number of Forecast probability Climate probability tropical storms 2012 1980–2010 > 3 98.9 100.0 > 4 98.9 96.8 > 5 98.9 96.8 > 6 91.4 87.1 > 7 78.5 80.6 > 8 71.0 71.0 > 9 64.5 67.7 > 10 48.4 64.5 > 11 35.5 51.6 > 12 29.0 38.7 > 13 21.5 29.0 > 14 17.2 22.6 > 15 5.4 12.9 > 16 4.3 9.7 > 17 1.1

contributed towards the cooling period including significant volcanic eruptions, cyclical lows in solar radiation, changes in ocean circulation and the natural variability of the global climate. Whatever the cause of the cooling winters were generally more severe. The Thames froze on a number of occasions

to understand and communicate as including emissions scenarios require additional explanation. It also allows for simpler comparisons across different models and lines of evidence, as it helps to reduce the influence of some uncertain factors (e.g. the large-scale sensitivity of climate models to increasing