Ocean-Colour Data In Climate Studies

Key Info
URL - the landing page for the learning resource: 
https://classroom.oceanteacher.org/enrol/index.php?id=286
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

The course will deliver training in ocean-colour data and their applications in climate studies. Remote sensing experts from the Plymouth Marine Laboratory (PML) will guide students through a combination of lectures and computer-based exercises covering the following topics:
-Introduction to ocean colour;
-Modelling primary production;
-Ocean colour applications for ecosystem state assessment;
-Climate impacts and feedbacks;
-Ocean colour in data assimilation;
-Dataset archive, management, visualization, and analysis.
Objectives
The objectives and learning outcomes of this course are for students to be able to:
• Understand the fundamentals of ocean colour;
• Understand the principles for modeling primary production, for detecting phytoplankton size structure, Harmful Algal Blooms, and for estimating phytoplankton phenology;
• Conduct research with ocean-colour data for ecosystem state assessment, model validation, data assimilation, and climate research;
• Plan requirements for large datasets processing, management and archiving;
• Apply tools and statistical methods for visualization and analysis of ocean-colour data with their associated uncertainty.

Authoring Person(s) Name: 
Thomas Jackson
Marie-Fanny Racault
Shubha Sathyendranath
Trevor Platt
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution-ShareAlike 4.0 International License - CC BY-SA 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Climate data
Data access
Data access methods
Data archiving
Data formats
Data management planning
Data modeling
Data visualization
Environmental change records
Marine data
Ocean data
Programming
Python
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Environmental Sciences
Physical Sciences and Mathematics: Oceanography and Atmospheric Sciences and Meteorology
Published / Broadcast: 
Friday, September 22, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Ocean Teacher Global Academy
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Early-career research scientist
Educator
Graduate student
Mid-career research scientist
Research faculty
Research scientist
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Day (but less than 1 week)