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  • OS11D: Satellite and In Situ Observations in Support of the Prediction of Coastal Hazard Impacts for Enhancing the Resilience of Coastal Communities I Poster
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Primary Convener:
Vassiliki Kourafalou, University of Miami

Convener:
Paul DiGiacomo, NOAA
Joaquin Tintore, Balearic Islands Coastal Observing and Forecasting System (SOCIB)
Aletta Yñiguez, Marine Science Institute, University of the Philippines Diliman

Early Career Convener:
Ivan Federico, CMCC Foundation - Euro-Mediterranean Center on Climate Change

Chair:
Vassiliki Kourafalou, University of Miami
Ivan Federico, CMCC Foundation - Euro-Mediterranean Center on Climate Change

This session highlights the advancements in integrating satellite and in situ observations with coastal models to enhance community resilience to ocean hazards. Outcomes will focus on furthering Early Warning Systems for coastal hazards (eg., tsunamis, storm surges, marine heatwaves, biogeochemical hazards), AI/ML model training and climate downscaling validation/calibration. We invite contributions on relevant coastal models, observations, data assimilation, applications, Digital Twins customized for driving forward science-based management practices and Nature Based Solutions. We also welcome trans-disciplinary contributions that showcase how science protects and strengthens coastal communities through combining environmental, socioeconomic, management and policy aspects of coastal resilience. Early Career Ocean Professionals and Global South researchers are encouraged to submit abstracts. The session is organized by the Program “CoastPredict: observing and predicting the Global Coastal Ocean” (affiliated with the Global Ocean Observing System), and the “Committee on Earth Observation Satellites Coastal Observations Applications Services and Tools Virtual Constellation”.

Index Terms
4337 Remote sensing and disasters
4341 Early warning systems
4217 Coastal processes
4263 Ocean predictability and prediction

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Climate Change and Global Policy
Machine Learning and AI
Community and People-Powered Science
Open Science and Open Data
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
NH - Natural Hazards
SY - Science and Society
GC - Global Environmental Change

Neighborhoods:
3. Earth Covering

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