Thesis in ocean biogeochemical modeling What controls the interannual variabilit
The ocean is estimated to take up around one quarter of annual anthropogenic CO
2
emissions, making it a key player in the global carbon cycle and climate. Ocean biogeochemical models are a commonly used tool to estimate the present state of the ocean carbon sink and to inform about its evolution in both past and future climates. Yet, most current ocean biogeochemical models show lower temporal variability of the ocean carbon sink than observation-based products, increasing the uncertainty of ocean carbon uptake estimates. Ocean biogeochemical models differ substantially in their simulations of spatio-temporal variability in air-sea CO
2
fluxes, the reasons for which are not fully understood to date.
Tasks
The proposed master thesis will explore the factors leading to oceanic CO2
uptake variability over the historical period in marine biogeochemical models, with a particular focus on variability on the interannual time scale. To that aim, the master student will mostly analyze a high-resolution simulation with the global model FESOM-REcoM, which reproduces a larger temporal variability than other models. Output from a number of additional state-of-the-art ocean models is available for comparison.
Requirements
- master student in the field of mathematics, physics, oceanography, marine biology, environmental sciences or a similar field with an interest in marine biogeochemical cycles
- Some prior programming experience with Python, MATLAB or similar is beneficial
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