Ocean Remote Sensing
|Convener: Aida Alvera-Azcárate | Co-Conveners: Guoqi Han , Tong Lee , Craig Donlon , Ad Stoffelen , Christine Gommenginger|
Advanced remote sensing capabilities provide unprecedented opportunities for monitoring, studying, and forecasting the ocean environment. An integrated approach for synthesizing remote sensing data with in situ measurements and ocean models is highly desirable, both for physical and biological oceanography, polar oceanography and for marine gravity and geodesy on the regional, basin and global scales. This session provides a forum for interdisciplinary discussions of the latest advances in all aspects of oceanographic applications of remote sensing.
We welcome contributions on all aspects of the remote sensing of the ocean. Topics for this session include but are not limited to: physical oceanographic variability and interactions with the atmosphere, ocean currents, winds and surface waves, biological variability and the carbon cycle; sub-mesoscale processes, marine gravity and space geodesy, advances in the measurement and interpretation of the ocean surface salinity, and new instrument and techniques development in ocean remote sensing. Applications of multi-sensor observations to study ocean and climate processes and applications using international (virtual) constellations of satellites are also welcome.
A topic of interest for this year's Ocean Remote Sensing session is the remote sensing of Polar Oceans and their connection with the atmosphere, sea ice, biogeochemistry and hydrology. Polar regions play an essential role in the Earth's climate and are experiencing fast changes that will have long-term consequences. We encourage presentations addressing movements of interior carbon on the Polar Oceans, freshwater discharge and flow of carbon from the land, atmosphere-ocean gas exchanges, heat fluxes, ocean acidification, primary production, sea ice dynamics and ice sheet change, as well as the effect of winds and waves on the polar regions. Methodological issues and uncertainty estimation studies of these applications are also welcome.