This module Earth Sciences Data – Part 1: Ocean Data View aims to give you an introduction into the geodata visualization and analysis possibilities that the software Ocean Data View (ODV) offers.
This module is primarily designed for students of marine related sciences, who are interested in visualizing and analyzing ocean dataset. It does not require any knowledge of the software Ocean Data View. By the end of this module you will be able to import, analyse and visualize a variety of datatypes (.txt, .nc and .odv) in Ocean Data View, by using different data window types (station, scatter, section and surface windows), integrated gridding options, contouring, creating and deriving isosurface variables and many more.
The module is subdivided into nine chapters including 17 learning videos with several tutorials and exercises. The learning videos provide step-by-step instructions. You will have the opportunity to experiment and implement the acquired knowledge in the software, right alongside the videos. Most chapters are supplemented by exercises with downloadable datasets, as well as instruction and answer sheets, which can be used to consolidate, deepen and practically apply the learning outcomes and get a first experience on visualizing marine datasets on your own.
Learning Goals
- ODV setup, importing data (.txt-, .nc- and .odv-files) and general display options
- Introducing different data window types (station, scatter, section and surface windows)
- Exploring ODV's integrated gridding options (weighted-average and DIVA gridding)
- Contouring and the use of different color palettes
- Creating derived and isosurface variables
Course Structure
- Introduction into the module
- Introduction video
- ODV setup, loading data and display options
- Tutorial #1: Getting started with ODV
- Create station plots
- Tutorial #2: Station plots of Arctic ocean dataset
- Exercise #1: Station plots (temperature, salinity, nutrient)
- Create sections plots, gridding and contouring
- Tutorial #3: Section plot
- Exercise #2: Section plot (temperature, salinity, silicate)
- Presentation on the use of colorscales
- Create overlay plots and contouring
- Tutorial #4: Overlay plots
- Exercise #3: Own data import, Overlay Section Plots and Graphic Objects (Fehmarn Belt)
- Create scatter plots and derived variables
- Tutorial #5: Scatter plot and derived variables with GLODAP
- Exercise #4: Scatter plot and derived variables (Kiel Fjord)
- Create surface plots and isosurface variables
- Tutorial #6: Surface plots of isosurface variables with GLODAP
- Exercise #5: Surface plot of isosurface variables 1 (oxygen minimum zones)
- Exercise #6: Surface plot of isosurface variables 2 (OmegaC)
- Argo float data and gridding
- Tutorial #7: Argo float data – from in-situ observations to gridded data
- Exercise #7: Argo float data 1 – Gridding options
- Exercise #8: Argo float data 2 – Drake Passage
- Conclusion
- Summary, helpful links and feedback