This course is designed to equip oceanographers and data enthusiasts with the skills to analyze Mixed Layer Depth (MLD) using Python and reanalysis data from the Copernicus Marine Service.
Learning Objectives
Upon completion of this course, participants will be able to:
- Access and retrieve reanalysis data from Copernicus Marine Service.
- Preprocess ocean physics data for MLD analysis.
- Apply temperature and density threshold methods to calculate MLD.
- Visualize spatiotemporal trends in MLD using Python.
- Develop confidence in processing and analyzing oceanographic datasets.
Target Audience
This course is perfect for:
- Researchers aiming to integrate MLD analysis into their projects.
- Students seeking practical experience with oceanographic data.
- Professionals in oceanography, climate science, and related fields.
Key Topics Covered
- Introduction to ocean reanalysis data and the Copernicus Marine Service.
- Fundamentals of Mixed Layer Depth: definitions, importance, and methods of calculation.
- Data preprocessing
- Hands-on Python exercises for MLD calculation and visualization.
- Exploring and interpreting spatiotemporal patterns in ocean stratification.
Ulasan
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