Project Description
Hosted at Plymouth Marine Laboratory
Supervisors
Professor Thomas Bell, Plymouth Marine Laboratory – contact me
Professor Carol Robinson, ENV, UEA
Dr Frances Hopkins, PML
Dr Claire Widdicombe, PML
Project background
The oceans release huge quantities of the gas dimethylsulfide (DMS) and this contributes to the formation and growth of atmospheric particles and clouds, reflecting solar radiation. DMS therefore is a key influence on Earth’s climate, similar in size (but opposite in sign) to the global warming caused by human CO2 emissions.
DMS in seawater is produced when phytoplankton die and break apart, or by bacteria as they feed on the substances plankton excrete. Seawater DMS levels can vary dramatically over small spatial and temporal scales, with intense DMS production often linked to blooms of certain plankton types. However, previous technical capabilities and sampling campaigns have not measured the variations in great detail or fully understood the plankton community dynamics that lead to elevated concentrations. Current models are unable to accurately reproduce DMS observations, and future predictions of plankton and DMS are very uncertain.
Project Aim
Unravel the drivers of seawater DMS to better understand and improve global emission predictions.
You will develop and use cutting-edge instrumentation such as a miniature gas chromatograph to measure seawater DMS. You will link this with PML’s autonomous technologies to improve sampling capability, and compare results with established methods (e.g. gas chromatography, mass spectrometry). Seasonal DMS at the Western Channel Observatory will be assessed along with phytoplankton community dynamics, including data from the novel Automated, in situ Plankton Imaging Classification System (APICS).
You will also participate in an exciting, large-scale Atlantic research campaign focussed on understanding the drivers of multiple volatile gases. You will compare your data and other PML Air-Sea Exchange data with output from the European Regional Seas Marine Ecosystem Model to assess the predictive capability of the model. You will gain sea-going field experience and be trained in a range of state-of-the-art instruments and novel techniques in ISO accredited labs. You will learn programming skills (including Python) to analyse, interpret and present your data, and valuable transferable career skills (e.g. writing and communication, good laboratory practice, quality assurance and safety procedures). You will be strongly encouraged to participate in a summer school, and to attend relevant international workshops and meetings.
Person specification
Suited for someone passionate about multidisciplinary environmental research and field work, with an aptitude for operating scientific instrumentation and processing large data sets.
Acceptable first degree subjects: Environmental, Chemical, Marine and/or Atmospheric Sciences (or similar).