Mathematics – Logic
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufm.p13b1367k&link_type=abstract
American Geophysical Union, Fall Meeting 2010, abstract #P13B-1367
Mathematics
Logic
[0452] Biogeosciences / Instruments And Techniques, [0452] Biogeosciences / Instruments And Techniques, [4568] Oceanography: Physical / Turbulence, Diffusion, And Mixing Processes, [4594] Oceanography: Physical / Instruments And Techniques
Scientific paper
Water velocity measurements are crucial to quantifying fluxes and better understanding water as a fundamental transport mechanism for marine chemical and biological processes. The importance of flux to understanding these processes makes it a crucial component of astrobiological exploration to moons possessing large bodies of water, such as Europa. Present technology allows us to obtain submerged water velocity measurements from stationary platforms; rarer are measurements from submerged vehicles which possess the ability to autonomously survey tens of kilometers over extended periods. Improving this capability would also allow us to obtain co-registered water velocity and other sensor data (e.g., mass spectrometers, temperature, oxygen, etc) and significantly enhance our ability to estimate fluxes. We report results from 4 recent expeditions in which we measured water velocities from autonomous underwater vehicles (AUVs) to help quantify flux in three different oceanographic contexts: hydrothermal vent plumes; an oil spill cruise responding to the 2010 Deepwater Horizon blowout; and two expeditions investigating naturally occurring methane seeps. On all of these cruises, we directly measured the water velocities with an acoustic Doppler current profiler (ADCP) mounted on the AUV. Vehicle motion was corrected for using bottom-lock Doppler tracks when available and, in the absence of bottom-lock, estimates of vehicle velocity based on dynamic models. In addition, on the methane seep cruises, we explored the potential of using acoustic mapping sonars, such as multi-beam and sub-bottom profiling systems, to localize plumes and indirectly quantify flux. Data obtained on these expeditions enhanced our scientific investigations and provides data for future development of algorithms for autonomously processing, identifying, and classifying water velocity and flux measurements. Such technology will be crucial in future astrobiology missions where highly constrained bandwidth will require robots to possess sufficient autonomy to process and react to data independent of human interpretation and interaction.
Camilli Richard
German Christopher R.
Kinsey J. C.
Yoerger Dana R.
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