Summer 2023: Logistics and Organization

[panalluri]

Admin:

• Coordinate with APAM admin upon her return (June 6th)
• Figure out how stipend will be delivered through this
• Register for LEAP Slack Tier 2
• Get LEAP Slack and computing resources access
• Register for Climatematch
• $300 Climatematch registration fee reimbursement from Columbia
• Apply for GO-BGC
• Switch over Github account from Rice to Columbia email

TODO:

• Read Chapter 13 for SO physical understanding
• Read Chapter 5 for QG model physical understanding
• Get familiarized with basics of eddy parametrization problem
• QG model code
• QG model parametrization example. This is a two-layer model that is a very very simple idealization of the Southern Ocean
• Read Hugo's paper
• Watch M2LInES conference recordings
• Watch SOCCOM conference recordings
• LEAP Bootcamp Pre-Session Materials

Potential directions for work:

• Learn about eddies, transport and ocean dynamics in context of reduced models (QG, SQG, etc.)
• Start developing parameterizations in these simple models, to understand what the goal of parameterization is and what “missing processes” they are used to describe.
  • This will also help in understanding the process of parameterization implementation in models and evaluation of how the models have been improved (or changed) in response.
• Think about how to expand out to real world, and more complex models.
  • Evaluate what real world and realistic models show
  • Parameterizations in realistic climate models

Technical skills to develop:

• Data analysis and visualization in Python (or other language of choice with support)
• Some understanding of numerics/computational science
• Some understanding of statistics and using metrics to understand the randomness and chaos.
• Some basic software development skills (maybe very important to stay organized)

SUMMER/FALL GOAL: get Hugo’s paper to work in QG model

• Develop a ML based passive scalar transport parameterization for a 2 layer QG model.