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Fall 2009 Course :
Acoustical Oceaography Course Page
UPDATES:
Funding and Employment Opportunities
LOCO 2005 Field Experiment in Monterey Bay
About the Turbulence REMUS
About the Lab Staff
Research Projects:
AUV Turbulence Measurements
in the LOCO Field Experiments
MerMADE: Merrimack River Mixing and Divergence Experiment
Recent Manuscripts:
Wang, Z. and L. Goodman, 2009, (in press). The
evolution of a thin phytoplankton layer in strong turbulence. Continental
Shelf Research. doi:10.1016/j.csr.2009.08.006
Goodman, L., Levine, E.R. and Wang, Z., 2009, (in review).
Sub surface observations of surface waves from an autonomous underwater vehicle
(AUV). IEEE Journal of Oceanic Engineering.
Wang, Z. and Goodman, L., 2009, Evolution
of the spatial structure of a thin phytoplankton layer into a turbulent field.
Marine Ecology Progress Series. 374:57-74 Doi:10.3354/meps07738.
Goodman, L. and Wang, Z, 2009, Turbulence
Observations in the Northern Bight of Monterey Bay from a Small AUV, Journal
Marine Systems, Volume 77,
Issue 4, Special issue on marine turbulence, p441-458, ISSN 0924-7963, Doi:10.1016/j.jmarsys.2008.11.004
Goodman, L., Robinson, A.R.,;On the Theory
of the Effects on Biological Dynamics in the Sea, III: The Role of Turbulence
in Biological Physical Interactions, Proc Royal Soc., Proceedings A 464
(2091), Mar 08, 2008.
Levine, E.R., Goodman, L., O'Donnell, J.,Turbulence
in coastal fronts near the mouth of Long Island Sound,invited J. Mar.Syst.,
Spec. Iss., Processes in Ocean Fronts, in press (February 2008)
MacDonald, D. G., L. Goodman, and R. D. Hetland (2007),
Turbulent dissipation in a near-field river plume: A comparison of control volume
and microstructure observations with a numerical model, J. Geophys. Res.,
112.
Goodman, L., Levine, E., Lueck, R., (2006) On
measuring the terms of the turbulent kinetic energy budget from an AUV,
J. Atoms. Ocean. Tech. 23, 977-990.
SMAST
Homepage
UMASS Dartmouth
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The Objective of this program is to quantify the fine and microstructure
(turbulence) fields during the LOCO DRI field observations and relate
them to mixing and dispersion. Particular attention will be given to the
role of turbulence in the formation, maintenance and dissolution of so-called
“thin layers.” Experimental focus will be on the intensive
heavily-instrumented, process-oriented part of the LOCO field experiments,
which are expected to be of order 1 to 10 kms in horizontal spatial extent.
We will employ the new SMAST turbulence AUV which is a second generation
turbulence vehicle (REMUS/HYDROID) based on the pioneering work of Levine
and Lueck (1999). The vehicle is equipped with a full suite of turbulence
and fine structure sensors and is proposed to also have optical backscattering
and chlorophyll sensors.
A
recently developed technique utilizes the various turbulence and fine
structure AUV-borne data to directly estimate the eddy and scalar turbulent
fluxes as well as the dissipation rate, ε, and variance of scalar
gradient fluctuations, χ. Estimation of these quantities along with
estimation of the fine scale shear, temperature, salinity, and density
gradient, allows calculation of all of the terms of the steady state,
homogenous Turbulent Kinetic Energy (TKE) and Scalar Variance Budgets
(Goodman and Levine, 2003). By doing this the usage of various assumptions
to calculate mixing efficiency and the turbulent eddy and scalar diffusivities
can be examined. This is particularly important in regimes characterized
by weak turbulence and strong stratification (the conditions typically
present for thin layers), since in those regimes it may not be possible
to use classical turbulence theory along with various “standard”
parameterizations about mixing to estimate the turbulent diffusivities.The
AUV turbulence and finestructure observations coupled with this theoretical
framework will be used to quantify the turbulence level, and the spatial
structure and the relationship of turbulence to finescale shear and density
gradients both within and around Thin Layers. This approach will allow
one to directly address the issue of the role of shear straining and dispersion
in the development, maintenance, and decay of biological and physical
thin layers. Obtaining a very dense set of horizontal measurements will
also allow estimate of turbulent advection terms. The analysis and modeling
of the field data as well as experimental planning would be carried out
in very close coordination with other LOCO investigators and their observational
techniques, i.e. moored, profiling, and ship deployed physical, biological,
acoustical, and optical sensors and systems.
A 5-year, $9 million project termed LOCO, for “Layered Organization
in the Coastal Ocean,” funded by ONR (Office of Naval Research)
was conducted in Monterey Bay, CA in August, 2005 and July, 2006 to study
on and attempt to quantify the mechanism of thin layer formation and evolution.
Experimental Sites: Monterey Bay (MB) located along the central California
coast between 36.55° and 37.00°N (Fig 1a), is the largest bay
along the west coast of United States. It is a semi-enclosed, with an
open connection to the ocean. It has a very limited of fresh water input.
Along with its deepness and broadness, Monterey Bay is not an estuary
as it is not significantly diluted by the fresh water influx except temporally
during brief periods of large river discharge. The Bay is symmetrical
in shape and divided approximately equally into a northern and southern
sector by the Monterey Submarine Canyon (MSC). The MSC, is the major topographic
feature in MB, and has a very important role in transporting nutrients
from the deep ocean to the shallower costal regions by the internal tide
(Shea and Broenkow, 1982). Although MSC represents a major depression
of the bay, a major fraction of the bay is very shallow. Approximately
80% of the Bay, 440 km2, is shallower than 100m and only 5% is deeper
than 400m (Breaker and Broenkow, 1994). There are two bights in MB, one
to the south near Monterey and a second to the north between Santa Cruz
and Aptos. The T-REMUS AUV LOCO surveys were conducted in the northern
bight during 15th August to 4th September 2005 and July 13th to 26th,
2006. Bathymetry within the experimental site (Fig1.1b) is relatively
uniform, from 16m to 23m across shelf. Fig 1b shows the detailed tracks
of a small Autonomous Underwater Vehicle (AUV) and the fixed LOCO observatory
stations during these two experiments.
 
Figure 1. a) Map of the complex topography within and offshore of Monterey
Bay. b) Detailed map showing the tracks of the T-REMUS AUV during LOCO.
The blue lines indicates the engineering runs of August 15th, 2005; the
green rectangle was used for two daytime runs and three nighttime runs;
the red square indicates location of the experiment at mid-night of August
26th, 2005; and the magenta square the experiment at the morning of September
04th, 2005. The black lines indicate the engineering run on July 13th,
2006; the salmon-colored lines indicate the location of the LOCO 2006,
four, eight-hour runs. The black contour lines represent the isobath in
5m intervals. The red diamonds with characters (E, W, S, N and C) are
the five fixed LOCO observatory stations deployed by Donaghay and Holiday
etc during LOCO 2005. The red squares with characters (K0 to K4) are the
K-lines stations deployed by Donaghay and Holiday etc during LOCO 2006.
Preliminary Result: The preliminary analyses from the two LOCO experiments
show that we have collected a very complete data set. The high resolution
CTD and the microstructure measurement package (RMMS) provide unique concurrent
horizontal and vertical characterizations of temperature, salinity, density
and direct estimation of turbulent dissipation rate. By combing that data
with finescale measurements of density and shear, estimates can also be
made of the Froude and Buoyancy Reynolds numbers and thus a characterization
of the intensity of the turbulent field form an activity diagram (Ivey
and Imberger, 1991). The upward and downward looking ADCP provides the
profiles of the vector current field. In addition also measured are optical
backscattering at two wavelengths (470 and 700nm) and chlorophyll fluorescence
and acoustic backscattering at 1200 kHz from the ADCP. The BB2F sensors
yield horizontal and vertical characterization of fine scale optical parameters
useful for estimating phytoplankton biomass. In the absence of other factors,
the profile of chlorophyll a production in the sea could be expected to
be related directly to productivity (e.g. Wolf and woods, 1988). Furthermore,
the ratio of the two backscattering channel to the chlorophyll fluorescence
could be used to identify the living phytoplankton from the mineral and
dense detrital particles. Fig 2 shows the contour maps of Chlorophyll
a measured by T-REMUS during night experiment on July 17th, 2006.

Fig 2. Contour maps of Chlorophyll a obtained by T-REMUS during LOCO 2006.
Fig 3 is a three dimensional view of the same chlorophyll
a data collected on July 17th, 2006 data. From this plot, it clearly shows
two separate thin layers were measured at the upper water column during
that night. And there are also some patchy structures of chlorophyll a
in the deeper layer. Combined with the concurrently measured fine- and
micro- scale physical and optical data, a statistics analysis will be
conducted for the physical and biological characteristics both in and
around the thin layers. The mechanisms of the formation, evolution and
breakdown of thin layers will also be studies using these LOCO data.
Fig 3, one example of 3D view of Chlorophyll a thin layer
measured by T-REMUS.
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