This is a subject about the Subpolar Gyre in the North Atlantic and ECCO. it is specifically about the heat content.
Towards understanding the heat content in the subpolar gyre and its influences using EMU
The subpolar gyre is a crucial oceanic circulation system located in the high-latitude regions of the North Atlantic and North Pacific Oceans. Characterized by a counterclockwise flow in the Northern Hemisphere, the subpolar gyre plays a significant role in regulating climate and marine ecosystems. It helps facilitate the exchange of heat and nutrients between polar and subtropical waters, contributing to the global thermohaline circulation. This gyre is particularly important for its influence on the distribution of sea ice, carbon sequestration, and nutrient cycling, which support a variety of marine species, from phytoplankton to large fish populations.
In this one-week ECCO hackathon project, we put our effort into understanding the heat content in the subpolar gyre and its influences using the EMU tool that we have learned.
List all participants on the project. Here is a good space to share your personal goals for the hackweek and things you can help with.
| Name | Personal goals | Can help with | Role |
|---|---|---|---|
| Wenrui Jiang | I want to learn specific python libraries for working with these data | I can help with understanding our dataset, programming in R | Project Lead |
| Margaret A Murakami | Practice leading a software project | machine learning and python (scipy, scikit-learn) | Project Lead |
| Prajvala Kurtakoti | learning about your dataset | GitHub, Jupyter, cloud computing | Project Helper |
| Ashfaq Ahmed | On the technical side, I learn to use GitHub, EMU, some fundamental Python codings, and run codes in the cloud. On the theoretical side, I learned about the adjoint methods and their application in atmospheric and climate science. | I am familiar with the ECCOv4r4 dataset | Team Member |
| ... | ... | ... | ... |
| ... | ... | ... | ... |
Provide a few sentences describing the problem are you going to explore. If this is a technical exploration of software or data science methods, explain why this work is important in a broader context and specific applications of this work.
It is based on the ECCO v4r4 dataset
The ECCO model utilities (EMU)
We calculated the heat budget of the SPG, and found that the Gyre is warming, but there is no accelerated warming.
We made some connection between heat transport and ocean at various latitude.
Using adjoint method, we were able to identify potentially interesting dynamical mechanisms that controls the heat transport into SPG along NAC.
The results are summarized here: https://docs.google.com/presentation/d/1PANPpJ7jcb-SJnPyfcWyN0HdO5ZNO5j0GSRa1U-zB20/edit?usp=sharing