Biblioteca especializada em Oceanografia da Universidade Federal do Rio Grande - FURG
terça-feira, 6 de junho de 2017
Training course: Ocean-Colour Data in climate studies
Ocean-colour data in climate studies advanced training short course – closing date for applications 24 June 2017
Course dates: 18 – 22 September 2017
Location: Plymouth Marine Laboratory, Prospect Place, The Hoe, PL1 3DH, Plymouth, UK
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: 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) Dataset archive, management, visualisation and analysis. Students will also have 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 will be provided.
Course webpage: www.pml.ac.uk/OCTrainingCourse
Contributions towards course costs, accommodation, meals, and travel are covered (restrictions apply).
Eligibility:
The UK Natural Environment Research Council will fund attendance for 20 UK-registered PhD students and early-career researchers.
The Partnership for Observation of the Global Oceans (POGO) will fund two places for registered PhD students and early-career researchers working at overseas POGO-member institutions.
In addition, 7-10 places will be funded for current and prospective users of Sentinel 3 data, who are PhD students and early-career researchers in any country of the EU and overseas.
How to register: Please use this web link to register for this course (https://registrationpml.wufoo.eu/forms/oceancolour-data-training-course/). Deadline for applications is 24 June 2017.
Fonte: Secretaria do IO/FURG
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