met-jobs@lists.reading.ac.uk
November 2017
Message 107

[Periods|Index by:DateThreadSubjectAuthor|Date:PreviousNext|Thread:(Previous)(Next)|List Information]

[Met-jobs] Ph.D. Studentship in ocean biogeochemistry at the University of Oxford and Met Office

From Samar Khatiwala <spk@ldeo.columbia.edu>
To met-jobs@lists.reading.ac.uk
Date Fri, 24 Nov 2017 13:05:18 +0000

NERC Industrial CASE Ph.D. Studentship in the Department of Earth Sciences and Mathematical Institute, University of Oxford; the UK Met Office; and National 
Oceanography Centre, Southampton

Title: Ocean Biogeochemical Optimisation in ESMs (OBOE)

Supervisors: Profs. Samar Khatiwala (Earth Sciences) and Coralia Cartis (Maths), University of Oxford; Prof. Colin Jones, NERC/Met Office; Drs. Andrew Yool 
and Adrian Martin, NOCS

As one of the principal reservoirs of CO2, the ocean plays a crucial role in the carbon cycle and in regulating Earth's climate. Understanding and modelling 
the interconnections between the ocean carbon cycle and climate is therefore critical for robust estimates of future climate change. A principal challenge in 
this regard is the absence of well-established sets of equations governing the behavior of marine ecosystems, which play a key role in ocean carbon dynamics. 
Consequently, fundamental processes, such as the formation and sinking of organic matter from the surface into the ocean interior are crudely parameterised. 
Improving the representation of these processes in global ocean biogeochemical models, embedded within Earth System Models (ESMs) used to project future 
climate change, is thus an important goal of current research and of this project in particular. Specifically, we seek to evaluate and improve the performance of 
MEDUSA (Model of Ecosystem Dynamics, nutrient Utilisation, Sequestration and Acidification), the ocean biogeochemical model in the next generation Met 
Office/NERC Earth system model (UKESM), currently under development. MEDUSA models the interaction between macro- and micro-nutrients, phytoplankton 
and carbon, representing these processes through a range of parameterisations that include a number of key uncertain parameters. We seek to improve the 
underlying formulation of these parameters to better represent available observational constraints.

To achieve this a number of challenges need to be addressed. First, because of the complex interaction between biogeochemistry and circulation, model 
sensitivities vary both in space and time, as well as with respect to the model field (e.g., nutrients v primary production). Second, evaluating the performance of 
global models is prohibitively expensive as every parameter change requires integrating the model for several thousand simulated years to equilibrium before the 
model can be compared with observations. As a result there have been very few attempts at systematically optimising the performance of models such as 
MEDUSA. To overcome this, the student will exploit a fast "offline" tracer simulation scheme and recently-developed mathematical optimisation techniques to 
optimise MEDUSA, a first for a global biogeochemical model of this complexity, especially one used in a state-of-the-art ESM.

Key outcomes of this project include (1) an estimate of MEDUSA’s sensitivity to various parameters and thus the relative importance of key processes that affect 
the strength of the biological carbon pump; (2) an optimal set of parameters that minimizes the model-observation cost function built on several fields; and (3) a 
quantitative assessment of the impact of parameter optimisation on key aspects of UKESM1-projected Earth system change, such as global climate sensitivity, 
marine carbon uptake and the resulting biogeochemical state of the deep ocean.

This project brings together ocean biogeochemists, a mathematician and an Earth system modeller and the student will benefit from working actively with 
scientists from several disciplines, including the UKESM model development core group. S/he will receive training in not only marine biogeochemical and Earth 
system modelling, but also in high performance computing, numerical analysis and mathematical optimisation techniques with broad applicability in science and 
engineering. The student will be affiliated with Oxford's NERC-funded Environmental Science Doctoral Training Partnership (DTP) in Environmental Research 
and will thus benefit from courses offered through the DTP as well as the Mathematical Institute.

Eligibility: UK/EU students with a good (2.1 or higher, or its equivalent) first degree in the natural sciences, maths or engineering and strong computing skills are 
encouraged to apply.

Application process: To apply follow the instructions at https://www.earth.ox.ac.uk/teaching/graduates/graduate-admissions/. Informal inquiries may be directed to:  
Samar Khatiwala (samar.khatiwala@earth.ox.ac.uk).



Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.