Detecting Trends in Ocean Acidification and Deoxygenation with Open Data

The changes in the ocean’s carbonate chemistry induced by the uptake of anthropogenic carbon dioxide (CO2) are collectively known as ocean acidification. And the loss of dissolved oxygen (O2) from the ocean as ocean deoxygenation. Both are unequivocally stressors of marine ecosystems due anthropogenic climate change that require a certain amount of measurements sustained in time in order to be detected.

The oceanographic community is largely adhered to the FAIR principles for ensuring open access to research data: Findable, Accessible, Interoperable and Reusable data. Among the biogeochemical open access databases, the synthesis products for the Global Ocean Data Analysis Project (GLODAP) are specially interesting, since they provide ocean data with an emphasis on seawater inorganic carbon chemistry. Furthermore, the development of open source tools for Quality Control on hydrographic cruise bottle data (AtlantOS Ocean Data QC) encourages to “rescue” (digitize) existent old data.

The student will be trained in Data Mining, Deep Learning (methods to compute and calculate CO2 in the ocean: CO2SYS, anthropogenic carbon...) and to elaborate high-quality figures in a Reproducibility Worflow. The results, if valuable, could be publish in an indexed scientific journal.

Start date not rigid.

Language requirements: 
English
Specific competences required : 
Is useful to have basic notions of code: R, Matlab, Python...
Safety issues: 
N/A
Accommodation possibilities : 
No.
Additional costs to be covered by the student: 
No
format: 
online