Constraints on rainfall and convection in numerical models: a case study of the Congo Basin
Amy is based in the Climate Research Lab in the School of Geography and the Environment, and her research focuses on the ability of climate models to reproduce the climate of the Central African region. She graduated from the University of Oxford with a BA in Geography (First Class) in 2014, specialising in physical geography and climate variability. Since undergraduate level Amy has been interested African climate systems, and her DPhil attempts to understand some of these complex systems via a range of climate model products.
Alongside her DPhil, Amy is joint- Meteorological Observer at the Radcliffe Meteorological Station. She has taught first year undergraduate Earth Observations tutorials and has been a Geography tutor for international students at Oxford Summer Courses, for both human and physical geography.
In 2017 Amy will undertake a policy internship at the Parliamentary Office of Science and Technology, as a Research Fellow. She was also nominated to attend the Global Young Scientists Summit in Singapore in January 2017 as a representative from Oxford.
– 2015-2018 Met Office CASE studentship
– 2014 – Book Prize associated with the Gibbs Prize in Geography
– 2013 – Gordon Smith Dissertation Award, for best physical geography dissertation at Keble
– 2013 – Gordon Smith Prize for Geography, for best performance by a Keble second year
– 2012-2014 – Undergraduate academic Scholarship, Keble College
Amy is interested in the way that different climate model products represent rainfall and convection over the Congo basin. The Congo is one of the three main convective centres on the planet, and therefore one of the key drivers of the tropical circulation. Convection in this region is a significant contributor to global rainfall, particularly during transition seasons. Additionally, the forests of the region are globally significant with regards to the carbon cycle, yet during the dry seasons they are extremely vulnerable due to their proximity to the rainfall threshold which supports a savannah ecosystem over rainforest. However, whilst the significance of the Congo basin is widely recognised, there is a lack of available observational data in the region due to inaccessibility and political tensions, and as a result there is a critical paucity of research on Congo climate dynamics. It follows that there is limited understanding of the region’s climatology, in particular the controls on rainfall and the extent to which numerical climate models are able to simulate its climate.
Amy’s research aims to circumvent some of these difficulties by assessing dynamical and thermodynamical mechanisms in models relative to one another, rather than relying on the scarce and unreliable observational data. She also hopes to utilise some new, high resolution model products as part of the NERC and DFID funded projects IMPALA and UMFULA, to further her understanding of modelled tropical dynamics.
Creese, A. & Washington, R. (2016). Using qflux to constrain modelled Congo Basin rainfall in the CMIP5 ensemble. Journal of Geophysical Research: Atmospheres, doi: 10.1002/2016JD025596
Creese, A. & Pokam, W. (2016). Central Africa: Understanding the Regional Climate System. Future Climate for Africa factsheet