I’m a research scientist in the Ocean Biogeochemistry and Ecosystems division of the National Oceanography Centre, Southampton, leading an active research group in global biogeochemical oceanography. In 2012, I received the EGU’s Arne Richter Award for Outstanding Young Scientist for my ‘fundamental contribution to the study of marine ecosystems’.
GOCART – Gauging Ocean organic Carbon fluxes using Autonomous Robotic Technologies
ERC Consolidator grant, 2017-2022
GOCART will use AUVs to investigate seasonal and high frequency variability in organic carbon fluxes and remineralisation. I’m the PI on this grant which will start September 2017.
COMICS – Controls over Oceanic Mesopelagic Interior Carbon Storage
NERC Large grant, 2017-2022
COMICS will investigate the physical and biological drivers of variability in remineralisation depth with a combination of field work and modelling. My role is leading a work package on constructing data syntheses and mesopelagic carbon budgets to contribute to the modelling phase.
RAGNARoCC – Radiatively active gases from the North Atlantic Region and Climate Change
NERC Directed research programme, 2014-2017
RAGNARoCC is investigating the sources and sinks of CO2 in the North Atlantic Ocean. I lead a work package that is exploring the role of interannual variability in biological productivity in altering the CO2 sink.
My research interests broadly centre around phytoplankton response to perturbations in physical forcing. I have an interest in characterising the influences on carbon export efficiency and transfer to the deep ocean, including how spatial and seasonal variability in these factors arises. I also have interests in detecting and attributing long-term trends in biogeochemical timeseries, quantifying the future response of ocean biogeochemistry to climate change, and figuring out the time and space scales that we need to observe over to detect those changes.
I use all kinds of data, often satellite data, combined with in situ data, model output, anything I can get my hands on! The great advantage of this data synthesis approach is that we can increase the amount of data to understand a problem – the downside is that we can end up with mountains of data that have to be distilled into something useful. I use statistical techniques to analyse the data, and also have developed algorithms for estimating the start date of a spring bloom, locating and tracking eddies, and estimating carbon export and transfer efficiency. Recently I’ve developed an interest in using autonomous underwater vehicles to get high resolution information on the interactions between the physical environment and phytoplankton, and the resulting influence on organic carbon fluxes.