Presentation given at the 100th AMS Annual Meeting in Boston, MA. January 16, 2020.

1. LEVERAGING PREDICTIONS FROM NOAA’S
OCEANOGRAPHIC FORECAST MODELS
TO INCREASE ENVIRONMENTAL VARIABILITY AWARENESS
IN OCEAN MAPPING
G. MASETTI, L. A. MAYER, P. D. JOHNSON, AND J. G. W. KELLEY
BOSTON, MA - JANUARY 16, 2020
V2

2. OCEANOGRAPHIC FORECAST MODELS
IN OCEAN MAPPING
V0

3. SOUND SPEED MANAGER SMARTMAP

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salinity
Sound
speed
Depth
Δd

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6. 6Ref.: Masetti, G. et al., Sound Speed Manager: An open-source application to manage sound speed profiles, International Hydrographic Review, vol. 17, pp. 31-40, 2017.

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12. PYDRO UNIVERSE STAND-ALONE APPS PYTHON PACKAGES
www.nauticalcharts.noaa.gov www.hydroffice.org GitHub/PyPi/Conda
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DISTRIBUTION

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15. SMARTMAP ALGORITHM
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• Constant Gradient:
• Snell Law:
Ref.: Masetti,, G., Kelley, J., Johnson, P., and Beaudoin, J., A Ray-Tracing Uncertainty Estimation Tool for Ocean Mapping, IEEE Access. IEEE, pp. 1-9, 2017.

16. SMARTMAP WEBGIS
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• OFS + WOA
• Predictions
• Survey Planner
• Historic
Database

17. SOUND SPEED MANAGER SMARTMAP
FORECAST

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B

21. Ref.: Masetti,, G., Smith, M., Mayer, L.A., and Kelley, J.G.W., Applications of the GoMOFS to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping, Frontiers in Marine Sciences, 2020.

22. WORST-CASE SCENARIO
OPTIMAL SOLUTION
REACTIVE-ONLY FORECAST
FULL FORECAST

23. THANKS!
Visit: https://www.hydroffice.org
Contact me at: gmasetti@ccom.unh.edu