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PICES 2019 \ Victoria, Canada

Cloud computing of key NASA oceanographic data:

Implications for automating aspects of ecosystem status reports

Marisol García-Reyes, Chelle Gentemann, Jeffrey Dorman & William Sydeman

S8: Creating more effective Integrated Ecosystem Assessments in PICES countries

PICES 2019 \ Victoria, Canada

Including physical data into the IEAs• Satellite data suitable for it• Large amounts of data available, in coverage and temporal extent• Allows for standardization across the PICES Regions

PICES 2019 \ Victoria, Canada

Including physical data into the IEAs• Satellite data suitable for it• Large amounts of data available, in coverage and temporal extent• Allows for standardization across the PICES Regions

• Programming expertise needed• Demand for computational, bandwidth & storage capabilities

PICES 2019 \ Victoria, Canada

Including physical data into the IEAs• Satellite data suitable for it• Large amounts of data available, in coverage and temporal extent• Allows for standardization across the PICES Regions

• Programming expertise needed• Demand for computational, bandwidth & storage capabilities

• Technology is developed to the point to which this could & should be doable & easy

PICES 2019 \ Victoria, Canada

Data & Data sharing

Programming

Code Sharing

Cloud Computing

PICES 2019 \ Victoria, Canada

PICES Regional Ecosystem Tool

PICES 2019 \ Victoria, Canada

• On your web browser • https://github.com/python4oceanography/PICES-tools

• Click on the button to load the ‘binder’ with the PICES RET

How to access the PICES RET

PICES 2019 \ Victoria, Canada

Click on:PICES_Regional_Ecosystem_Tool

You could also download (clone) it from GitHub directly

PICES 2019 \ Victoria, Canada

demo

https://github.com/python4oceanography/PICES-tools

PICES 2019 \ Victoria, Canada

Comparison among regionsSea Surface Temperature

PICES 2019 \ Victoria, Canada

Comparison of Data

Meridional Surface Current

Sea Surface Temperature

Chlorophyll Concentration

PICES 2019 \ Victoria, Canada

You could also download (clone) it from GitHub directly

From your web browser: https://github.com/python4oceanography/PICES-tools

Marisol García-Reyes <marisolgr@gmail.com>

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