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Abstract
Background
Methods Results
Conclusion
Hole et al., Deep-C GoM SailBuoy Experiment
CMR SailBuoy deployment in the Northern Gulf of Mexico
Lars R. Hole a*, Mahmud Hasan Ghani a,b, Ilker Fer b,c , Vassiliki H. Kourafalou d, Nicolas Wienders e, HeeSook Kang d, Kyla Drushka f, David Peddie c
a Norwegian Meteorological Institute, b Geophysical Institute, University of Bergen, Norway, c Christian Michelsen Research AS, Norway d University of
Miami/RSMAS Miami, e Florida State University, f Applied Physics Laboratory, University of Washington. * lrh@met.no
An experimental deployment of a new type of unmanned
vessel is presented. The Christian Michelsen Research
SailBuoy, a remotely-controlled surface vehicle, sampled
near-surface properties during a two-month mission in the
northern Gulf of Mexico in March – May, 2013. The vessel
speed over ground was 42 ± 30 cm s-1 with a maximum of
180 cm s-1. During the 62 days of the mission, the SailBuoy
covered a total range of approximately 400 km in both
meridional and zonal directions, with a cumulative total
distance of approximately 2400 km. Three parameters were
recorded: sea surface temperature, conductivity, and
dissolved oxygen.
Near surface properties, such as the sea surface
temperature (SST), and sea surface salinity (SSS) play a
crucial role in controlling the exchange between the ocean
and the atmosphere, as well as in influencing the weather
and large scale ocean and atmospheric circulation. Near-
surface dissolved oxygen concentration is a component that
responds to both physical changes as well as biological
changes.
Being 100% wind driven and using battery power only for
automatic tacking, the CMR SailBuoy system is capable of
carrying out long missions for up to 6 months.
It can both receive navigational instructions and transmit
data in real time via 2-way Iridium communication. A full
array of sensors can be used for applications in
oceanography, meteorology, marine mammal monitoring,
algae surveys, oil tracking, and wave measurements.
Length: 2.0 m.
Displacement: 60 kg.
Payload: 15 kg / 60 dm3.
Figure 4. Ground-tracks of the Aquarius satellite colored
by salinity observed during the study period (straight,
slanted lines) and the SailBuoy track, colored by its
measured salinity. For the coastal region (within 100 km of
the coast), the SailBuoy track is plotted in black and the
Aquarius data are not included. (b) salinity measured by
the SailBuoy and by Aquarius: Level 3 Aquarius data were
extracted at 87W, 28N and Level 2 data were extracted
along the SailBuoy path. The vertical dashed line
indicates the time at which the SailBuoy moved offshore
of the coastal region [2].
[1] Schiller, R. V., & Kourafalou, V. H. (2010). Modeling river plume
dynamics with the HYbrid Coordinate Ocean Model. Ocean
Modelling, 33(1), 101-117.
[2] M. Hasan Ghani, L. R. Hole, I. Fer, V. H. Kourafalou, N. Wienders, H.
Kang, K. Drushka and D. Peddie. TheSailBuoy remotely-controlled
unmanned vessel: measurements of near surface temperature, salinity
andoxygen concentration in the Northern Gulf of Mexico. Methods in
Oceanography, 2014. DOI 10.1016/j.mio.2014.08.001.
Figure 1: The CMR SailBuoy.
More details: www.sailbuoy.no
and www.deep-c.org/sailbuoy .
Figure 2: Maps with the SailBuoy track showing (a) velocity
vectors (every 7th data point), b) sea surface temperature
[oC], c) salinity [Practical Salinity Units - PSU], and d) oxygen
concentration [mg/l].
Figure 3: SailBuoy SSS on top of the Northern GoM nested
model [1].