OceanTeacher Global Academy

Summary

Global change requires studying the ocean in more detail and at longer and larger scales. Capacity development and training on standard survey techniques and the use of simple sensors has been identified as a tool to enhance ocean observation. This course serves as an introduction to oceanographic survey techniques and data processing. It is designed for Early Career Ocean Professionals (ECOPs), students, and other oceanographers who intend to pursue oceanography and marine sciences. Relevant oceanographic (physical, chemical, and biological) datasets will collected and used during the training, making it easy to relate, understand, and apply the course concept.

Venue: AquaBioTech Group, Mosta, Malta

Learning outcomes

By the end of the course, the learners are expected to:

• Be familiar with oceanographic survey techniques.
• Understand how to use simple data collection tools and sensors.
• Be familiar with measurement of temperature, salinity, turbidity, depth oxygen and chlorophyll.
• Produce meaningful descriptive statistics and informative graphs from raw data.
• Results interpretation and discussion for scientific communication and writing.

Course contents

The course will be divided into 4 modules:

Module 1: Field sampling techniques for basic coastal oceanographic parameters

• Introduction to oceanographic parameters temperature, salinity, turbidity, depth oxygen and chlorophyll.
• Preparing a field work checklist,
• Safety measures during field work
• Calibration, and deploying of sensors and equipment
• Field surveys

Module 2: Data visualization and management

• Data retrieval
• Data entry
• Data visualization in R software using ggplot package
• Simple analysis using R
• Data management: storage, sharing and repository

Module 3: Basics of scientific writing

• Language and structure
• Graphics and visuals
• Citation and referencing
• Plagiarism

Module 4: Basics of science communication and outreach

• Language and sentence structure in science communication
• PowerPoint Presentation
• Visuals for infographics
• Policy briefs

Target audience

ECOPs who are enrolled in a Bachelor’s or Master’s degree, or have completed their Masters Degree and intend to use this knowledge in their academic or research related work. No prior R knowledge will be required, but knowledge on basics of oceanography is desired.  The current course is specifically targeting ECOPs from and/or based in the Mediterranean region (from Southern Europe, Northern Africa and Western Middle East).

Language of instruction: English

Moderators and Instructors

Ines Boujmil – Aqua Biotech Group

Dr. Anabel von Jackwoski - Stockholm University

Mr. Gabriel Akoko Juma – Alfred Wegener Institute, Germany

Organizers

This course is being organized with the support of the Early Career Ocean Professionals Programme, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Stockholm University, Aqua Biotech Group, International Ocean Institute, Jean Monnet Centre of Excellence on Sustainable Blue Economy and UNESCO-IOC Ocean Teacher Global Academy.

https://oceanexpert.org/event/4568

Summary

O curso oferece uma gama de técnicas de oceanografia, com ênfase no uso de dados de campo in situ que estão disponíveis online. Mais importante, dará aos participantes experiência prática com dados e análises oceanográficas, particularmente flutuadores ARGO e bóias de deriva, que ajudam a visualizar processos físicos, bem como processos biológicos. Por exemplo, os flutuadores ARGO fornecem indicadores vitais, como temperatura, salinidade, perfis de pressão e parâmetros biogeoquímicos como oxigênio dissolvido, nitrato e pH, que são essenciais para a compreensão da produtividade biológica. Além disso, a temperatura da superfície do mar e as correntes de superfície são algumas das variáveis ​​medidas por bóias de deriva, como os drifters SVP (Surface Velocity Program). Python, Panoply e Ocean Data View são algumas das ferramentas de software de alto nível neste currículo usadas para ensinar processamento de dados. Ao final deste curso de treinamento, os alunos serão capazes de classificar massas de água; identificar correntes oceânicas submesoescalares; analisar processos oceânicos, contribuindo assim para uma visão mais profunda da dinâmica dos oceanos.

Resultados de aprendizagem

• Classificar massas de água;
• Identificar correntes oceânicas submesoescala;
• Analisar variáveis ​​biogeoquímicas oceânicas.

Conteúdo do curso

• Introdução à Oceanografia Física e Bioquímica;
• Introdução ao Python, Ocean Data View (ODV) e Panoply;
• Gráficos e plotagens usando Python, Ocean Data View (ODV) e Panoply;
• Análise de dados com Python.

• Identificar termoclinas, haloclinas e picnoclinas e discutir sua importância na estratificação e circulação oceânica;
• Entender o movimento das correntes de superfície e como elas são influenciadas pelos padrões de vento e pelo efeito Coriolis;
• Explorar a ligação entre oceanografia física e biogeoquímica marinha;
• Entender o conceito de formação e distribuição de massa de água e como essas massas contribuem para a circulação termohalina global;
• Explorar os caminhos do transporte de superfície e discutir implicações para poluição marinha, pesca e conservação.

Público-alvo

Será dada prioridade a participação investigadores, estudantes e profissionais da área da Oceanografia Física, Biologia Marinha e Química Marinha.

Idioma: Português

Requisitos tecnológicos

Os participantes deverão ter acesso a computador e internet.

Instrutores/Organizadores

Clousa Maueua - Oceanographic Institute of Mozambique (InOM)

Noca Furaca - Centro de Pesquisa e Tecnologias do Mar (CePTMAR-UEM)

António Hoguane - Oceanographic Institute of Mozambique (InOM)

Nélio Sitoe – Escola Superior de Ciências Marinhas e Costeiras (ESCMC - UEM)

*Os instrutores ministrarão o curso de forma voluntária.

Duração e formato do curso

Este curso será realizado online, com duração de 80 horas (77 assíncronas, 3 síncronas). 

Haverá sessão síncrona para esclarecimentos, com duração de uma (1) hora cada sessão, agendadas para: 21 de outubro; 25 de outubro; e 29 de outubro.

Avaliação e certificado

Os participantes serão avaliados através de questionários (ao final de cada sessão) e deverá entregar um projeto final (com análise e visualização de dados para uma área de interesse). Será emitido um certificado considerando presença (todos os dias - 15%), completar as tarefas (35%), e finalizar os projetos (50%).

Processo de candidatura

O número de lugares disponíveis é limitado. Preencha o formulário de inscrição on-line disponível em: https://otga.wufoo.com/forms/zvz96y81hz8anv/. 

O prazo para submissão da candidatura é até 04 de outubro de 2024 (23:59 CEST). Não há custos custos de matrícula.

*A UNESCO está empenhada em promover os princípios de igualdade de acesso. As inscrições de grupos minoritários ou sub-representados são fortemente encorajadas. Em caso de dúvidas entre em contato com a Secretaria da OTGA (ioc.training@unesco.org) usando sempre o nome do curso como assunto do e-mail.

Política de cancelamento

No caso de cancelamento do curso pela OTGA ou suas afiliadas, enviaremos um aviso de cancelamento pelo menos 7 dias antes da data do curso. Em caso de cancelamento por parte do participante, devemos receber um aviso de cancelamento pelo menos 7 dias antes da data do curso.

Ocean colour analysis is a proven tool for determining the health of ocean using oceanic biological activity through optical means. Phytoplankton pigment, chlorophyll, are indicators of equilibrium of CO₂ concentration between atmosphere and ocean. The oceanic colour changes due to chlorophyll a provides the level of primary productivity whereas the colour change due to CDOM can be attributed to the level of pollution and higher particulate matter. The ability of optical sensors to map the spatial and temporal patterns of ocean colour over regional and global scales has provided important insights into the fundamental bio-optical properties and bio-physical processes occurring in the aquatic media. Chlorophyll, SST and PAR can be operationally scaled up to estimate primary production and estimate the fish stocks. This training focuses on the basics of marine optics, ocean colour remote sensing, and its applications such as mapping primary productivity, phytoplankton classes and algal blooms.

Find all details about this course in: https://oceanexpert.org/event/4299 ;

Attendance to this course is by application only. Access will be granted to the selected participants.

Learning goals

• Gain understanding of the EMODnet Biology project and how it interlinks with other European and international initiatives in the field of biodiversity knowledge.
• Recognize the importance of sharing biological data, taking into account the FAIR principles.
• Develop skills to correctly format biological data to EMODnet Biology and EurOBIS formats.
• Gain knowledge on the required quality control steps and on the importance of interoperability.

Target audience

Anyone interested in marine biodiversity data.

This is a self-taught course that includes quizzes designed to help learners assess their own learning at regular intervals.

How to enroll

Please register on the OceanExpert website (www.oceanexpert.org). Once your OceanExpert account is approved (this is not done immediately), you can self-enroll in the course. If you already have an OceanExpert account, you can self-enroll in the course using your OceanExpert username and password.

First log in OceanTeacher, then access the course page and click on self-enrollment.

The enrolment key is EMODNETBio**2023

For any questions please contact the OTGA Secretariat (ioc.training@unesco.org) or the EMODnet biology secretariat bio@emodnet.eu" target="_blank" rel="noopener">(bio@emodnet.eu) always using the name of the course as email subject.

There are no tuition fees. 

UNESCO is committed to promoting equal access principles. Applications from minority or underrepresented groups are strongly encouraged.

Ocean colour analysis is a proven tool for determining the health of ocean using oceanic biological activity through optical means. Phytoplankton pigment, chlorophyll, are indicators of equilibrium of CO₂ concentration between atmosphere and ocean. The oceanic colour changes due to chlorophyll a provides the level of primary productivity whereas the colour change due to CDOM can be attributed to the level of pollution and higher particulate matter. The ability of optical sensors to map the spatial and temporal patterns of ocean colour over regional and global scales has provided important insights into the fundamental bio-optical properties and bio-physical processes occurring in the aquatic media. Chlorophyll, SST and PAR can be operationally scaled up to estimate primary production and estimate the fish stocks. This training focuses on the basics of marine optics, ocean colour remote sensing, and its applications such as mapping primary productivity, phytoplankton classes and algal blooms.

This training course will provide and introduction to sample collection and sorting, including taxonomy and processing for DNA extraction, eDNA and qPCR analyses, as well as a quick guide on the use of the bioinformatics for sequence analysis to in-country (Fiji) managers and technical staff.

This training course will provide and introduction to sample collection and sorting, including taxonomy and processing for DNA extraction, eDNA and qPCR analyses, as well as a quick guide on the use of the bioinformatics for sequence analysis to in-country (Fiji) managers and technical staff.

This course is an introduction to the Ocean Best Practices System. A best practice is a methodology that has repeatedly produced superior results relative to other methodologies with the same objective; to be fully elevated to a best practice, a promising method should be adopted and employed by multiple organizations.
This short course provides an overview of the importance and relevance of using and sharing Ocean Best Practices and Standards, as well as on how to create, submit, share and search for Best Practices in the Ocean Best Practices System (OBPS) repository. This course is intended for University students, researchers and ocean practitioners in general. It does not provide a certificate.

Ocean colour analysis is a proven tool for determining the health of ocean using oceanic biological activity through optical means. Phytoplankton pigment, chlorophyll, are indicators of equilibrium of CO₂ concentration between atmosphere and ocean. The oceanic colour changes due to chlorophyll a provides the level of primary productivity whereas the colour change due to CDOM can be attributed to the level of pollution and higher particulate matter. The ability of optical sensors to map the spatial and temporal patterns of ocean colour over regional and global scales has provided important insights into the fundamental bio-optical properties and bio-physical processes occurring in the aquatic media. Chlorophyll, SST and PAR can be operationally scaled up to estimate primary production and estimate the fish stocks. This training focuses on the basics of marine optics, ocean colour remote sensing, and its applications such as mapping primary productivity, phytoplankton classes and algal blooms.

The purpose of this training workshop is to share knowledge, skills, resources and training techniques so that attendees are able to independently train others on available Earth Observation (EO) data and tools. During the course, participants will work with others to create their own (learning) artefacts. This is an interactive knowledge exchange workshop, not a technical training event.

Aims and objectives: 

• To support marine and earth observation educators in their training activities, by sharing Copernicus Marine data resources and exchanging experience of different learning approaches.
• To foster a community of marine EO educators who can collaborate in future.
• To co-create learning artefacts that can used in participants own training activities and more broadly by the Earth observation community.

The course is aimed to provide an introduction to operational oceanography, discovery and use of operational ocean data products and services, hands on for visualizing the in situ, remote sensing and model derived data products.

The current suite of Earth Observation satellites offer access to an unprecedented amount of information on the marine environment. Concurrently, there is a growing demand in research, governance, and commercial marine sectors, for personnel who can use this data. Training providers across these sectors is essential for maximizing the utility of this data and building necessary capacity. This course offers participants the opportunity to work with other trainers to incorporate the use of Copernicus marine data from EUMETSAT in to their own educational activities. Participants will learn how to use open access resources available through EUMETSAT and the Copernicus programme, and co-develop their own resources with a network of fellow participants and trainers from IODE, EUMETSAT and CMEMS. The course will delivered online only.

Second Seadatanet training course