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consultancy Insights About us Who we are, what we do and organisational news. Who we are Who we are Our people Our values Our history Accuracy Innovation Impact How we are run How we are run The Met Office Board Our governance structure Public Weather Service Our Chief Executive The Executive Team Non

Creating extreme weather guidance Deeper discovery What is extreme weather? www.metoffice.gov.uk | 2 © Crown Copyright 2022, Met Office Creating extreme weather guidance: prompt questions • What was it? • When and where did it occur? • Who did it affect and how? • What did people do before, during

above, the GWLs are defined relative to the pre-industrial period (1850-1900). As UKCP climate data do not include results prior to 1900, additional steps are required to define the Global Warming Level. For UKCP datasets, global mean surface air temperature changes are first calculated relative to 1981

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consultancy Insights About us Who we are, what we do and organisational news. Who we are Who we are Our people Our values Our history Accuracy Innovation Impact How we are run How we are run The Met Office Board Our governance structure Public Weather Service Our Chief Executive The Executive Team Non

Navigate to:  What are the different services available as part of the SESAR Deployment Projects? Who was involved in the SESAR projects? Am I eligible to register my organisation for access to these harmonised services?  How do I register my organisation for access to these services? How do I

consultancy Insights About us Who we are, what we do and organisational news. Who we are Who we are Our people Our values Our history Accuracy Innovation Impact How we are run How we are run The Met Office Board Our governance structure Public Weather Service Our Chief Executive The Executive Team Non

manner to this increment (as it does to increments from ‘real’ physical processes), and update all other variables accordingly • Typically, “truth” would be, e.g. (re)analysis • Can easily replace the (re)analysis with output from an ML model • If the ML model is better than the physical model

them 5 Probabilistic data - this is challenging even for experienced users of weather data. There seems to be little option other than to train the user - something that is challenging in the context we work in. An area for more research on how this can be delivered and utilised perhaps. 6 How do

attributes do you bring with you? A management style that is informal, and not too concerned about hierarchy. I want to take ideas and feedback from all layers of the organisation. I feel that weather and climate are not so different – the way that people experience climate change is often through more