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Airfield Climate Statistics

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Dr Clare O'Neill

a nested suite of ocean-ecosystem models and a website that displayed results to users. Clare completed her PhD in ocean modelling, at Plymouth University, in 2008. She set up a POLCOMS model of the Rockall Bank region and used this to investigate formation and cascading of dense water. Clare has a BSc in Oceanography with Maths from the University of Southampton.

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studying the climate whilst doing an integrated Master of Oceanography degree at the University of Southampton, wheremy projects were climate science focussed. I completed the course with first class honours and graduated with the top grade of the year; enabling me to win funding to do a doctorate

Doug McNeall

, and the impact of high temperatures on the infrastructure of the UK National Health Service. Career background Doug joined the Climate Impacts group in 2008, after completing a PhD split between the National Oceanography Centre, Southampton, and the Department of Probability and Statistics

caa-case-study-1---high-pressure.pdf

Case 1 Route: Southampton to Norwich (VFR) Date: 27 th August 2017, departing 08 UTC Let’s take a look at the weather forecast, assess the potential threats and start investigating how to mitigate against these risks. a. Synoptic situation Describe the broad features in the synoptic chart, what

Dr Gavin Evans

is a long-term goal of this team. Career background Gavin joined the Met Office's Post Processing team in 2013. Prior to this, he completed a PhD in Physical Oceanography at the University of Southampton entitled "Circulation and Carbon Variability in the South Atlantic Ocean". Prior to this Gavin undertook a MSc at the University of Birmingham in Applied Meteorology and Climatology, and a MPhys in Physics at the University of Warwick.

David Ford

coupled to the NEMO hydrodynamic model. This is running pre-operationally in near-real time, as well as being run on a hindcast basis. A particular focus currently is assessing the performance of the biological data assimilation scheme jointly developed by National Oceanography Centre, Southampton

Dr Omar Jamil

in our models, but at the lowest possible compute cost. In order to achieve this, Omar is using the latest machine learning frameworks with techniques such as deep learning. Career background Omar joined the Met Office in 2012. Prior to joining the Met Office, he was a post-doctoral research fellow in theoretical astrophysics at Ohio University. He holds a PhD in Physics from University of Southampton and an MPhys from University of Warwick.

Dr Chongyuan Mao

Forecasting Research and Development group at the Met Office in September 2014. Prior to this she completed a PhD at the University of Southampton, investigating the physical mechanisms of the sea surface temperature (SST) annual cycle and its influence of the phytoplankton blooms in the North Atlantic

Dr Kate Salmon

, Kate acquired her MSc. Oceanography at the University of Southampton and BSc. (hons) Geology at the University of Durham, with a year at Scripps Institution of Oceanography.

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