ECCO Summer School 2019

The summer school is made possible through funding from NASA, with additional support by the Oden Institute. 

 

This excursion was sponsored by FastOpt with additional support by Atmospheric and Environmental Research (AER).

Computational support for the school was provided by the Texas Advanced Computing Center (TACC).

Contact:

info@eccosummerschool.org

Friday Harbor Laboratories

Program

The program is separated into morning and early-afternoon lectures and afternoon hands-on lab sessions, where students elaborate on topics with cutting-edge software packages and computational tools. 

The summer school will incorporate presentations the students have worked on in small teams summarizing topics covered in earlier lectures. Students are also expected to give an introductory summary of themselves and their research in the first week. 

A detailed time schedule can be found here.

Morning and Early-afternoon Lectures

  1. State estimation

  2. Ocean dynamics & variability

  3. Ocean modeling

  4. Observational oceanography: in-situ, ARGO floats, satellites, cryosphere

  5. Climate variability

  6. Decadal survey

  7. Pacific, Indian, Atlantic, Arctic, and Southern Ocean circulation

  8. Tracer budgets

  9. High resolution modeling

  10. Physics of sea level

  11. Air-sea fluxes & water mass

  12. Sea ice

  13. Global salt budgets & water cycle

  14. Ecology & ECCO Darwin

  15. Coupled modeling & assimilation

  16. Ice-ocean interactions

  17. Regional state estimates

  18. Ocean biochemistry

  19. Ocean mixing

Afternoon Lab Sessions

  1. Getting started with Python and computational tools

  2. gcmfaces

  3. Algorithmic differentiation (AD)

  4. Adjoint sensitivities

  5. Budgets

  6. Getting started with ECCO

  7. ECCO Arctic

  8. High-resolution simulation

  9. ECCO ice-ocean

Computational tools will be accessed via the TACC Portal to avoid installation issues or version problems. Students will receive access before the beginning of the summer school. During the first hands-on lab, we will make sure students can log in and find relevant programs and datasets.

A summary of the computational resources used during the program can be found here. If you are not familiar with these products, the best way to learn is to work through tutorials and read documentation.