Remote sensing experts from PML guided students through a combination of lectures and computer-based exercises covering the following topics: 1) Introduction to ocean colour; 2) Modelling primary production; 3) Ocean colour applications for ecosystem state assessment; 4) Climate impacts and feedbacks; 5) Ocean colour in data assimilation; 6) Datasets archive, management, visualisation and analysis.
During the course, students were exposed to remote-sensing ocean-colour data from the European Space Agency (ESA) Climate Change Initiative (OC-CCI), which provides the most complete, stable, and error-characterized time-series of multi-sensor global satellite data products for climate research and modelling. Students were also introduced to the latest ocean-colour data products from the OLCI sensor aboard the Sentinel-3 satellite. As part of the computer-based exercises, students gained experience in the necessary tools for management of large datasets (including handling files in Network Common Data Form NetCDF) and analysis (including interpolation procedures and uncertainty calculations). There was also the opportunity of informal discussion with instructors outside of the formal lectures. A visit of the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) that is hosted at PML was provided.
This event was held in the Marine Matters Centre (MMC) at Plymouth Marine Laboratory, Plymouth, UK.
The objectives and learning outcomes of this course were for students to be able to:
• Understand the fundamentals of ocean colour;
• Understand the principles for modelling 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 visualisation and analysis of ocean-colour data with their associated uncertainty.
For any enquiries please contact Marie-Fanny Racault (mfrt @pml.ac.uk)
Marie-Fanny Racault, PML
Shubha Sathyendranath, PML
Sophie Seeyave, Partnership for Observation of the Global Oceans (POGO), PML
Ben Taylor, NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS), Plymouth, UK
Lecturers from Earth Observation and Modelling groups at PML:
Bob Brewin, Stefano Ciavatta, Hayley Evers-King, Thomas Jackson, Trevor Platt, Marie-Fanny Racault, Dionysios Raitsos, Shubha Sathyendranth, Ben Taylor
This is course was primarily funded by the Natural Environment Research Council (NERC):
With support from: