CEMAC Staff

CEMAC Leadership

CEMAC Director: Juliane Schwendike is interested in tropical meteorology, tropical cyclones, convection and high impact weather, monsoons, large-scale circulations. She spends 20% of her time directing the CEMAC activity.

CEMAC Technical Head: Mark Richardson.  Mark is full time and has the role of managing the day to day activities of the SDS. He liaises with academics while they are preparing proposals. If you are considering adding CEMAC time to a proposal that you are preparing, then please contact Mark at the earliest opportunity. He can help you gauge the amount of CEMAC effort you might need and when there will be resource to support it.

Software Development Scientists

Helen Burns. Helen Joined CEMAC from her PhD on Oceanography at Southampton and has a wide range of computational skills. She has developed jupyter notebooks to instruct on Machine Learning techniques, developed configurations for running nested models using the MetOffice Unified Model and WRF. Helen has also completed projects that use Python flasks with a Web user interface to display data and allow users to explore other connections in the data.

Tamora James. Tamora joined CEMAC from her PhD in conservation demography at Sheffield. She has mainly been working on the African SWIFT project ensuring the robustness of a live “now-casting” infrastructure, From acquiring satellite data, processing it (in collaboration with researchers) to provide data for two systems: a web page for African meteorological agencies and an Android app for Kenyan users to see rapidly developing thunderstorms and convection rainfall rates in the near term (2 hour) time scale. with some extra effort the geographic region of interest (“domain”) can be redefined for other interested parties.

Richard Rigby. Joined CEMAC from BAS and has long time experience in Unix systems administration and software deployment. He also works on projects where comlex detailed processing techniques allow the researchers to view their data and explore derived parameters in a visual manner. Often through web portals using Java script and plotly. Richard also provides responsive support for many School technical questions on research computing.

Science Domain Experts

Zhiqiang Cui: his research involves cloud microphysics and studies of various clouds, their interaction with aerosol, and precipitation.; based in NCAS.

Wuhu Feng: Atmospheric Composition; based in NCAS, one of his roles is to support development of the TOMCAT/GLOMAP CTM for community science studies and as a testbed for the aerosol and chemistry schemes used in UK Earth System Model. He is also researching upper atmospheric processes using the WACCM variation of CESM (NCAR community earth system model).

Dan Grosvenor: Aerosol processes. Dan has worked with CASIM, a sophisticated cloud aerosol scheme that is integrated with the MetOffice Unified Model (UM). Currently he is researching the representation of low-level clouds and developing a test-bed to assess this within climate models such as the UKESM. The tool uses a variety of sources of practical observations for the assessment.

Richard Keane: Convection and Atmospheric dynamics; joint Met Office. He is currently investigating systematic biases in the Met Office Unified Model for the Indian summer monsoon across a range of time scales, including running higher-resolution limited-area simulations to help understand the global model. His research interests include atmospheric convection, tropical meteorology, global model evaluation and probabilistic forecasting.

Julia Tindall:  Paleoclimatology.  Julia’s research involves using models to simulate climates of the past.  She is currently working on modelling the Pliocene climate (~3Ma) although she has extensive experience in modelling other time periods.  Within CEMAC Julia provides advice on how to set up and debug the Hadley Climate Model based on the MetOffice Unified Model (UM) for paleoclimate research.  She can also advise on how to change the code within this model to output additional diagnostics. These special variations of traditional climate models allow scientists to simulate tens of thousands of years in practical real world time scales.