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Data processing and visualization at the Balearic Islands Coastal Observing and Forecasting System (SOCIB)

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Data processing and visualization at SOCIB

C. Troupin, J. P. Beltran, B. Frontera, S. Gómara, M. Gomila, A. Krietemeyer, C. Muñoz, M. À. Rújula, I. Serra, J. Tintoré

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Make available

as much good data as possible

to the maximum number of users

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 Data acquisition

 Processing

(including Quality Control ✓)  Distribution &  visualisation

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 Data acquisition  Processing

(including Quality Control ✓)

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 Data acquisition  Processing

(including Quality Control ✓)  Distribution &  visualisation

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 Data acquisition  Processing

(including Quality Control ✓)

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TimeDimension plugin for Leaflet library

WMS NOAA nowCOAST weather radar

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TimeDimension plugin for Leaflet library

WMS Temperature from IBL Software Engineering

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TimeDimension plugin for Leaflet library

GPX or KML GPS tracks comparison

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TimeDimension plugin for Leaflet library

GeoJSON Oil spill model

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TimeDimension plugin for Leaflet library

Possible topic forODIP

toward standardisation ofdateformat in GeoJSON files

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Follow-the-Glider

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Follow-the-Glider

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Medclic: scientific and outreach project

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Medclic: scientific and outreach project

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Medclic: scientific and outreach project

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Apps for smartphones

 https://play.google.com/store/apps/details?id=com.socib  https://itunes.apple.com/us/app/socib/id482542716?mt=8

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Apps for smartphones

Augmented reality ----• Points of interest

----• Nearby observing platforms ----• Reporting observations ----• Access to real-time data

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What do they have in common?

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What do they have in common?

Data Discovery

RESTful web services

to provide information and data of SOCIB platforms

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What do they have in common?

Data Discovery

----• Give me the list of active fixed stations

----• Tell me the last measurements from a given station ----• List the stations providing sea level measurements ----• …

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What do they have in common?

Data Discovery 

”It was quite easy

you did a very good job and

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What do they have in common?

Data Discovery 

”It was quite easy

you did a very good job and

your services were really easy to integrate!”

”We had to create a specific database only to manage your data

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What is next?

New data API

---- 1 Easier data access for any type of users

general public, delovepers, data managers, scientists, …

---- 2 Easier developments of external applications

visualisation, apps, data analysis …

---- 3 Data provided in different formats

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What is next?

New data API

---- 1 Easier data access for any type of users

general public, delovepers, data managers, scientists, …

---- 2 Easier developments of external applications

visualisation, apps, data analysis …

---- 3 Data provided in different formats

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What is next?

New data API

---- 1 Easier data access for any type of users

general public, delovepers, data managers, scientists, …

---- 2 Easier developments of external applications

visualisation, apps, data analysis …

---- 3 Data provided in different formats

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What is next?

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What is next?

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What is next?

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 Data acquisition  Processing

(including Quality Control ✓)  Distribution &  visualisation

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 Data acquisition

 Processing

(including Quality Control ✓)

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Principles

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Principles

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Principles

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Principles

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Principles

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Principles

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In a few words …

Robustness

Versatility

Quickness

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In a few words …

Robustness

Versatility

Quickness

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Digital playground: Jupyter-notebook

Text markdown

Code fragment python, Julia, R, …

Figures, animations or interactive maps Data story telling

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Digital playground: Jupyter-notebook

Heatmap using CMEMS profiler data, January 2016

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Future work

---- 1 Artificial intelligence

---- 2 Big Data ---- 3 Citizen science

Infer relevant information during the data processing in order to improve for example, the quality control

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Future work

---- 1 Artificial intelligence ---- 2 Big Data

---- 3 Citizen science

Combining internal and external data

(smartphone sensors, Automatic Identification System (AIS) data, …)

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Future work

---- 1 Artificial intelligence ---- 2 Big Data

---- 3 Citizen science

Collecting geo-localised photos shared through social media and link them to specific marine events

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Thanks for your attention

Thanks for your attention

Tools https://github.com/socib/Leaflet.TimeDimension https://jupyter.org/ Web http://medclic.es/ http://followtheglider.socib.es/ Apps http://apps.socib.es/  https://play.google.com/store/apps/details?id=com.socib  https://itunes.apple.com/us/app/socib/id482542716?mt=8

Social media  https://github.com/socib  https://twitter.com/socib_data

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