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at relatively high temporal resolution.  This can positively influence Met Office Numerical Weather Prediction models's analyses of the Earth's atmosphere via a 4D-Var assimilation system, and hence improve our forecast skill. Career background Ruth has been working in the Met Office's Satellite

Understanding climate impacts on food, forestry and ecosystem services in an integrated way.

assessments of how climate change could impact on food, forestry and ecosystem services. To improve climate model projections by representing important processes that influence the climate, e.g. agriculture, deforestation and permafrost. Current projects Impacts of climate change and deforestation in Brazil

rise varies from place to place and increases in higher emissions scenarios. Emissions scenarios explained To predict the severity of climate change and therefore future sea-level rise, we make assumptions about economic, social, and environmental changes that influence climate change. Each

Climate modelling at the Met Office

many times, each time with a slightly different starting set-up, you can sample a broader range of the possible future outcomes. This is really important for understanding how climate change might influence the likelihood of extreme events – which are relatively rare by their nature. Running more

www.viewpoint-cssp.org Risks to food security in China under climate change A briefing on research from the Climate Science for Service Partnership (CSSP) China for decision-makers in China No. 03 The CSSP China project is investigating how climate change will affect agricultural systems

).1.2 Seasonal climate drivers of South Asia 1.2 Seasonal climate drivers of South Asia The climate of South Asia varies from year-to-year due to the influences of large-scale climate drivers that vary on interannual and intraseasonal timescales. The key drivers of this variability are described

assumptions about the economic, social and physical changes to our environment that will influence climate change. Representative Concentration Pathways (RCPs) used in IPCC AR5, and Shared Socio- Economic Pathways (SSPs) used in IPCC AR6 are both methods for capturing those assumptions within a set

The dynamical core Modern computer models of the atmosphere include many complex physical processes that each have local influences and feed back into the general circulation. At the heart of these models, however, is the solution of the dynamical equations of motion (Newton's laws applied to a gas

weather and climate science and services to reduce the risk from weather and climate. Developing a “seamless” weather and climate modelling system requires the partnership to: • Carry out world leading weather and climate science and translate this into a prediction system; • Deliver technological

The influence of mountains and hills on both local weather and large-scale weather systems.

blocking, hills and mountains influence the development of weather systems and the global atmospheric circulation. These processes need to be represented in weather and climate prediction models. Our research explores several aspects of atmospheric flow over orography. These include investigations