 Presentation Index |
This CD was produced by Rutgers Coastal Ocean
Observation Lab. Please e-mail all inquiries to: flounder@arctic.rutgers.edu. © 2000 RU COOL |
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SS: OS41J
LO: CC:214A
DA: Thursday
HR: 0830h
SN: Coastal Ocean Dynamics and Prediction V
PR: J S Allen, Oregon State University; L J Walstad, University
of Maryland
MN: 2000 Ocean Sciences Meeting
------------------------------
HR: 11:15h
AN: OS41J-10
TI: Parameterizing Vertical Mixing on a Continental Shelf
AU: * Durski, S M
EM: sdurski@ahab.rutgers.edu
AF: Rutgers University Institute of Marine and Coastal Sciences,
\#\# Dudley Rd, New Brunswick, NJ 08901 United States
AU: Glenn, S
EM: glenn@arctic.rutgers.edu
AF: Rutgers University Institute of Marine and Coastal Sciences,
\#\# Dudley Rd, New Brunswick, NJ 08901 United States
AU: Haidvogel, D
EM: dale@ahab.rutgers.edu
AF: Rutgers University Institute of Marine and Coastal Sciences,
\#\# Dudley Rd, New Brunswick, NJ 08901 United States
AB: While significant attention has been paid to studying the
performance of vertical mixing parameterizations in the deep ocean, much less research has
been focused on their performance in the coastal environment. However it is such shallow
water environments which may present the greatest challenge to these schemes. Continental
shelves can be characterized by strong spatial variations in stratification, interacting
surface and bottom boundary layers and variable internal wave activity. This study looks
at the performance of an open ocean vertical mixing parameterization (Large, McWilliams
and Doney's K-profile parameterization) which has been modified for coastal applications.
The performance of this model is compared in simple model settings with that of the
vertical mixing parameterization most commonly used in coastal settings (the Mellor and
Yamada level 2.5 closure scheme).
DE: 4568 Turbulence, diffusion, and mixing processes
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 09:15h
AN: OS41J-04
TI: Dynamics and Structure of a Near Shore Jet
AU: * Chant, R J
EM: chant@imcs.rutgers.edu
AF: IMCS, Rutgers University, \#\# Dudley Road, New Brunswick, NJ
08901 United States
AU: Glenn, S M
EM: glenn@imcs.rutgers.edu
AF: IMCS, Rutgers University, \#\# Dudley Road, New Brunswick, NJ
08901 United States
AB: Observations of recurrent upwelling events on New Jersey's
inner shelf emphasize the three dimensionality of the process. Upwelling events recur at
the same location evolving in a characteristic pattern cumulating into a series of
upwelling centers along New Jersey's inner shelf. Previous studies indicate that these
upwelling centers are related to topography, although the details of this have yet to be
described. Rutgers University's LEO-15 is located within one of these centers. High
frequency current radar measurements and AVHRR imagery in the vicinity of LEO-15 revel
that this upwelling center is characterized by a surface intensified northward flowing
offshore jet which separates cool high-florescence inshore waters from warm
low-florescence offshore waters. However, cross shelf shipboard data obtained in 1998 and
1999 revel that some of the strongest subinertial flows occur in a southward flowing
coastal jet which resides just off the coast to the north of the upwelling center and
inside of CODAR's footprint. This near-shore jet has a mid-depth velocity maximum and
advects cool-phytoplankton rich water towards the upwelling center. Furthermore as the jet
flows southward it encounters increasingly rough and shallow topography. In general these
observations suggest that the near-shore jet may drive the upwelling center. Today's talk
will discuss the structure of this jet, it's dynamics and place its
DE: 4532 General circulation
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 09:00h
AN: OS41J-03
TI: Tidal and Spectral Analysis of Coastal Surface Velocity
Fields as Measured by a Validated CODAR System
AU: * Kohut, J T
EM: kohut@arctic.rutgers.edu
AF: Rutgers University Institute of Marine and Coastal Sciences,
\#\# Dudley Rd., New Brunswick, NJ 08903 United States
AU: Glenn, S M
EM: glenn@caribbean.rutgers.edu
AF: Rutgers University Institute of Marine and Coastal Sciences,
\#\# Dudley Rd., New Brunswick, NJ 08903 United States
AU: Fracassi, J F
EM: johnf@arctic.rutgers.edu
AF: Rutgers University Institute of Marine and Coastal Sciences,
\#\# Dudley Rd., New Brunswick, NJ 08903 United States
AU: Chant, R
EM: chant@ahab.rutgers.edu
AF: Rutgers University Institute of Marine and Coastal Sciences,
\#\# Dudley Rd., New Brunswick, NJ 08903 United States
AB: A Coastal Ocean Dynamics Applications Radar (CODAR) surface
current measuring system is maintained off the southern New Jersey coast as part of the
Rutgers University Long-term Ecosystem Observatory (LEO 15). Data collected by the CODAR
system was validated against ADCP's on moored, ship-towed, REMUS AUV and shipboard anchor
station platforms. Additional validation studies examined the sensitivity of CODAR derived
surface currents to both ideal and measured antenna beam patterns. The continuous CODAR
two-dimensional dataset enables us to examine the spatial variability of the dominant
frequency componants of the surface current field. A preliminary examination reveals an
astronomical tide that gradually varies in space as well as episodic oscillations at
semi-diurnal and inertial frequencies that exhibit large spatial dependencies. The pattern
of these additional oscillations are compared to features in the sub-inertial flow and
thermal fields over the past two summers.
UR: http://marine.rutgers.edu/mrs/codar.html
DE: 1255 Tides--ocean (4560)
DE: 4275 Remote sensing and electromagnetic processes (0689)
DE: 4512 Currents
DE: 4544 Internal and inertial waves
DE: 4546 Nearshore processes
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 11:45h
AN: OS41J-12
TI: Numerical Exploration of Undercurrent Dynamics at LEO-15
AU: * Haidvogel, D B
EM: dale@ahab.rutgers.edu
AF: Rutgers University, IMCS \#\# Dudley Road, New Brunswick, NJ
08901 United States
AU: Hedstrom, K S
EM: kate@ahab.rutgers.edu
AF: Rutgers University, IMCS \#\# Dudley Road, New Brunswick, NJ
08901 United States
AB: Narrow, subsurface, prograde currents (henceforth,
undercurrents) are a well-known feature of coastal circulation in (e.g.) eastern boundary
regions. No conclusive dynamical explanation exists for their occurrence, although motive
mechanisms based on along-shore pressure gradients, eddy form stress, vertical mixing over
topography, and other processes have been proposed. Most, if not all, of these processes
have their counterparts along the broader shelves of the Western North Atlantic, so it
should not be particularly surprizing to find examples of sustained, subsurface, prograde
flows along the U.S. East Coast. A notable example of such behavior has recently been
documented in the New York Bight as part of the NOPP-funded real-time modeling and
observation program at LEO-15. To make matters more interesting, the distinctive patterns
of subsurface flow at LEO-15 are accompanied by unique biological signals (e.g.,
phytoplankton maxima) as well. We describe a series of two- and three-dimensional
simulations of wind-driven flow on a broad, shallow continental shelf. The model
employed$\sim$-- based upon the spectral finite element method$\sim$-- allows highly
accurate solutions to be obtained across a wide variety of dynamical situations including
those combining the effects of strong stratification and underlying topography. The
simulations are used to speculate on the origins and four-dimensional character of the
undercurrent at LEO-15.
UR: http://marine.rutgers.edu/mrs/
DE: 4219 Continental shelf processes
DE: 4255 Numerical modeling
DE: 4546 Nearshore processes
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 11:30h
AN: OS41J-11
TI: Atmosphere-Ocean Forecast Experiments in the New Jersey
Coastal Zone
AU: * Arango, H G
EM: arango@imcs.rutgers.edu
AF: Rutgers University, Cook Campus \#\# Dudley Road, New
Brunswick, NJ 08901-8521 United States
AU: Pan, H
EM: panhai@arctic.rutgers.edu
AF: Rutgers University, Cook Campus \#\# Dudley Road, New
Brunswick, NJ 08901-8521 United States
AU: Glenn, S M
EM: glenn@arctic.rutgers.edu
AF: Rutgers University, Cook Campus \#\# Dudley Road, New
Brunswick, NJ 08901-8521 United States
AU: Haidvogel, D B
AF: Rutgers University, Cook Campus \#\# Dudley Road, New
Brunswick, NJ 08901-8521 United States
AU: Avisar, R
EM: avissar@gaia.envsci.rutgers.edu
AF: Rutgers University, Cook Campus \#\# Dudley Road, New
Brunswick, NJ 08901-8521 United States
AB: A NOPP-sponsored, real-time, atmosphere-ocean nowcast and
forecast experiments were carried out during July 1999 along the Southern New Jersey
Coast. A coupled atmosphere-ocean (RAMS/ROMS) regional modeling system was used to predict
the 3D coastal circulation associated with recurrent summer upwelling events. The complex
dynamics of this system mandates the use of atmospheric, oceanic (surface and bottom), and
wave-current turbulent boundary layers. The various data collected by the observational
network at the Long-Term Ecosystem Observatory (LEO-15) were used to initialize, update,
and validate the coupled coastal system. The updating was done via data assimilation as
data, predominantly velocity, became available. Unlike temperature and salinity, velocity
data requires special assimilation treatment to insure dynamically consistent melding of
observation and model values. Additional experiments were carried out using surface
forcing from the Navy Operational Global and Regional Atmospheric Prediction System
(NOGAPS and COAMPS) forecasts, which extended out to six days, and ocean initial
conditions from MODAS. The atmosphere-ocean forecasting schedule was tuned to our data
sampling strategy which required a three-day forecast twice a week.
UR: http://marine.rutgers.edu/mrs/
DE: 3210 Modeling
DE: 3307 Boundary layer processes
DE: 4263 Ocean prediction
DE: 4504 Air/sea interactions (0312)
DE: 4568 Turbulence, diffusion, and mixing processes
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 11:00h
AN: OS41J-09 INVITED
TI: A Coastal Forecasting System
AU: * Avissar, R
EM: avissar@gaia.rutgers.edu
AF: Rutgers University - Center for Environmental Prediction,
\#\# College Farm Road, New Brunswick, NJ 08901-8551
AU: Pan, H
EM: pan@cep.rutgers.edu
AF: Rutgers University - Center for Environmental Prediction,
\#\# College Farm Road, New Brunswick, NJ 08901-8551
AU: Glenn, S M
EM: glenn@caribbean.rutgers.edu
AF: Rutgers University - Institute for Marine and Coastal
Sciences, \#\# Dudley Road, New Brunswick, NJ 08901-8521
AU: Haidvogel, D A
EM: dale@ahab.rutgers.edu
AF: Rutgers University - Institute for Marine and Coastal
Sciences, \#\# Dudley Road, New Brunswick, NJ 08901-8521
AB: A coupled ocean-land-atmosphere model (OLAM) based on the
regional atmospheric modeling system (RAMS) and the regional oceanic modeling system
(ROMS) developed at Rutgers University was applied to the New Jersey coastal region during
Summer 1999. Seven three-day forecasting cycles were performed, and observations collected
at 17 ground and buoy stations, satellite images, the Mount Holly radar, and the Tuckerton
and New Brunswick sodars are used to evaluate the performance of this very-high resolution
forecasting system. The synoptic forcing (i.e., the lateral boundary conditions) for the
forecast is obtained from a combination of the National Center for Environmental
Prediction (NCEP) Eta and AVN models. Initial conditions are derived from the Eta
reanalysis field and most recent composite SST tendencies. The simulations emphasize high
spatial and temporal variability of the atmospheric fields and they resolve many
small-scale and sub-synoptic meteorological events, such as sea-breezes and thunderstorms.
The forecasted meteorological variables (i.e., wind direction and intensity, and air
temperature and humidity) are in good agreement with observations at various sites inland
and off-shore. Numerical experiments show that forecasts are as good as hindercasts using
NCEP reanalysis. The atmospheric component of the coupled model provides a high-quality
forcing to the oceanic component of the model, which correctly simulates various coastal
processes in this region.
DE: 3329 Mesoscale meteorology
DE: 3337 Numerical modeling and data assimilation
DE: 4247 Marine meteorology
DE: 4255 Numerical modeling
DE: 4504 Air/sea interactions (0312)
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 09:45h
AN: OS41J-06
TI: Diurnal Optical Variability During Upwelling at LEO-15
AU: * Weidemann, A D
EM: alanw@nrlssc.navy.mil
AF: Naval Research Laboratory, NRL code \#\#\#\# Building
\#\#\#\#, Stennis Space Center, MS 39529 United States
AU: Schofield, O
EM: oscar@ahab.rutgers.edu
AF: Institute of Marine and Coastal Science, Rutgers University
P.O. \#\#\#, New Brunswick, NJ 08903-0231 United States
AU: Glenn, S
AF: Institute of Marine and Coastal Science, Rutgers University
P.O. \#\#\#, New Brunswick, NJ 08903-0231 United States
AU: Bowers, T E
EM: tbowers@nrlssc.navy.mil
AF: Planning Systems Incorporated, Building \#\#\#\# MSAAP,
Stennis Space Center, MS 39529 United States
AB: Optical profiles where collected at the LEO-15 optical node
profiler using a WetLabs Inc., nine-channel absorption and attenuation meter. The data was
collected approximately once every one half hour for 60 continuous hours on 28-30 July
1999. This temporal series occurs at the onset of higher productivity caused by the usual
upwelling in this area. Associated with the transition to the upwelling condition was a
large change in the optical characteristics of the water column. The continuous time
series allowed examination of the changes in the optical properties that were related to
the upwelling and tidal interactions. The changes were most evident during the slack tidal
period for the mid-depth optical properties and by the movement of the surface upwelled
condition passed the node during each tidal cycle. Beam attenuation at 532 increased by a
factor of two as the tide moved the highly turbid coastal water passed the node. The
mid-depths were characterized by intermittent "cleaner" water lying between more
turbid surface and bottom layers. The optical node offers an unusually high temporal
resolution of the water column that could then be compared with the spatial coverage
offered by the shipboard and autonomous vehicles.
DE: 0649 Optics
DE: 3339 Ocean/atmosphere interactions (0312, 4504)
DE: 4227 Diurnal, seasonal, and annual cycles
DE: 4263 Ocean prediction
DE: 4275 Remote sensing and electromagnetic processes (0689)
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 10:45h
AN: OS41J-08
TI: Phytoplankton Community Dynamics in the Coastal Waters of the
LEO-15 Site
AU: * Moline, M A
EM: mmoline@calpoly.edu
AF: Biological Sciences Department, California Polytechnic State
University, San Luis Obispo, CA 93407 United States
AU: Orrico, C
EM: corrico@calpoly.edu
AF: Biological Sciences Department, California Polytechnic State
University, San Luis Obispo, CA 93407 United States
AU: Newton, T
EM: tnewton@calpoly.edu
AF: Biological Sciences Department, California Polytechnic State
University, San Luis Obispo, CA 93407 United States
AU: Schofield, O
EM: oscar@ahab.rutgers.edu
AF: Institute of Marine and Coastal Sciences, Rutgers University,
New Brunswick, NJ 08901 United States
AU: Grzymski, J
EM: joeg@ahab.rutgers.edu
AF: Institute of Marine and Coastal Sciences, Rutgers University,
New Brunswick, NJ 08901 United States
AU: Bergmann, T
EM: bergmann@arctic.rutgers.edu
AF: Institute of Marine and Coastal Sciences, Rutgers University,
New Brunswick, NJ 08901 United States
AU: Tozzi, S
EM: stozzi@imcs.rutgers.edu
AF: Institute of Marine and Coastal Sciences, Rutgers University,
New Brunswick, NJ 08901 United States
AB: Quantifying phytoplankton community structure in time and
space is critical to evaluating in situ optical properties of the water column, water
leaving radiance and biogeochemical processes in the nearshore coastal ocean. In July
1999, multiple transects were repeatedly sampled for phytoplankton identification and
pigmentation in the LEO-15 (Long-term Ecosystem underwater Observatory) grid space. In
addition to these measurements, in water optical and physical properties were measured
simultaneously. The data collected will be used to examine the structure of phytoplankton
communities along the New Jersey coast. Special attention will be paid to the alternating
patterns of diatoms and dinoflagellates in time and space and the influence of estuarine
inputs on the phytoplankton community. Secondly, the distribution of phytoplankton will be
discussed in the context of the physical dynamics at LEO-15. Periodic coastal upwelling,
cyclonic eddies, convergence/divergence zones and meandering coastal jets are common
features in this coastal region. Measurements of these dynamics over the course of the
study will allow for evaluation of whether peak biological activity occurs in conjunction
with these phenomena by either stimulating planktonic growth and/or concentrating biomass
by advective transport. Lastly, the impact of phytoplankton loads on the bulk
DE: 4279 Upwelling and convergences
DE: 4546 Nearshore processes
DE: 4815 Ecosystems, structure and dynamics
DE: 4847 Optics
DE: 4855 Plankton
SC: OS
MN: 2000 Ocean Sciences Meeting
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HR: 08:45h
AN: OS41J-02
TI: An Overview of the 1999 Coastal Predictive Skill Experiment
at LEO-15
AU: * Glenn, S M
EM: glenn@caribbean.rutgers.edu
AF: Rutgers University, Institute of Marine and Coastal Sciences,
New Brunswick, NJ 08901 United States
AU: Schofield, O M
EM: oscar@ahab.rutgers.edu
AF: Rutgers University, Institute of Marine and Coastal Sciences,
New Brunswick, NJ 08901 United States
AU: von Alt, C J
EM: cvonalt@whoi.edu
AF: Woods Hole Oceanographic Institution, AOP&E, Woods Hole,
MA 02543 United States
AU: Webb, D C
EM: dwebb@webbresearch.com
AF: Webb Research Corporation, \#\# Technology Park Drive, East
Falmouth, MA 02536 United States
AB: Over 120 scientists, technicians, students and middle school
teachers participated in the July 1999 Coastal Predictive Skill Experiment at the Rutgers
University Long-term Ecosystem Observatory (LEO-15). An extensive remote sensing and in
situ observation network, and a Regional Atmospheric Modeling System (RAMS) coupled to a
Regional Ocean Modeling System (ROMS), were used to generate real-time data-based nowcasts
and model forecasts for adaptive sampling of coastal upwelling events with ships and
autonomous underwater vehicles (AUVs). An overview of the experimental design and
objectives will be presented. Observations from the July 1999 field season will be placed
within the long-term context of the seventh summer of data collection at the LEO site. An
important aspect of the summer experiments at LEO is the operational use AUVs and the
validation of their sensors. Progress on two distinctive classes of AUVs will be
discussed. Four different propeller-driven REMUS AUVs were deployed, including two for
ADCP/CTD surveys up to 72 km in length, one for turbulence observations, and one for
nighttime surveys of bioluminescence. The buoyancy-driven Coastal Electric Glider
completed its first sea-trials, including the collection of CTD casts by undulating in a
saw-toothed pattern and then transmitting the data to shore by radio modem.
UR: http://marine.rutgers.edu/cool
DE: 4219 Continental shelf processes
DE: 4263 Ocean prediction
DE: 4594 Instruments and techniques
SC: OS
MN: 2000 Ocean Sciences Meeting
------------------------------
HR: 09:30h
AN: OS41J-05
TI: Characterizing the Variability in the Inherent and Apparent
Optical Properties During the LEO-15 1999 Coastal Predictive Skill Experiment
AU: * Bergmann, T
EM: bergmann@arctic.rutgers.edu
AF: Rutgers University, Institute of Marine and Coastal Sciences
\#\#, Dudley Road, New Brunswick, NJ 08901-8521 United States
AU: Grzymski, J J
EM: grzymski@ahab.Rutgers.edu
AF: Rutgers University, Institute of Marine and Coastal Sciences
\#\#, Dudley Road, New Brunswick, NJ 08901-8521 United States
AU: Schofield, O M
EM: oscar@imcs.rutgers.edu
AF: Rutgers University, Institute of Marine and Coastal Sciences
\#\#, Dudley Road, New Brunswick, NJ 08901-8521 United States
AU: Moline, M A
EM: mmoline@calpoly.edu
AF: California Polytechnic State University, Biological Sciences
Department, San Luis Obispo, CA 93407 United States
AU: Newton, T
AF: California Polytechnic State University, Biological Sciences
Department, San Luis Obispo, CA 93407 United States
AB: One phenomenological focus of the ONR and NOPP-sponsored
Coastal Predictive Skill experiments was the characterization of the impact of coastal
upwelling in shallow waters (5-30 m) on nearshore in situ optical properties. Real-time
physical data from the LEO-15 observation network allowed bio-optical survey vessels to
adaptively adjust transects to characterize the formation of an upwelling eddy. Prior to
the initiation of upwelling, the inherent optical properties were low except for the
nearshore waters influenced by local estuaries. Upon the initiation of the upwelling there
was a two-fold increase in the inherent optical signals in the nearshore waters
(absorption, attenuation, scattering, and backscatter). Associated with that increase was
an increase in both total suspended matter and particulate organic carbon. Subsurface
chlorophyll a fluorescence doubled within the upwelling eddy. The increase in fluorescence
could not however account for all the observed variability in the inherent and apparent
optical properties. The changes in the in-water optical properties were clearly visible in
the remote sensing imagery with coherence between the physical and optical frontal
boundaries. The major source of material into the upwelling was a cold subsurface jet from
the North that transported biologically rich material into the study area. . The
transported material in the cold water pipe flows south until it encounters a bottom
bathymetry topographic high located just beyond the south extent of LEO-15 observatory.
UR: http://marine.rutgers.edu/mrs/
DE: 4219 Continental shelf processes
DE: 4279 Upwelling and convergences
DE: 4294 Instruments and techniques
DE: 4546 Nearshore processes
DE: 4552 Ocean optics
SC: OS
MN: 2000 Ocean Sciences Meeting
------------------------------
HR: 08:30h
AN: OS41J-01 INVITED
TI: The 1999 Coastal Predictive Skill Experiment: An Operational
Multi-scale Real-time Long-term Ecosystem Observatory (LEO-15) for the Coastal Ocean
AU: * Schofield, O M
EM: oscar@imcs.rutgers.edu
AF: Rutgers University, \#\#, Dudley Rd Institute of Marine and
Coastal Sciences, New Brunswick, NJ 08901-8521 United States
AU: Glenn, S
EM: glenn@caribbean.rutgers.edu
AF: Rutgers University, \#\#, Dudley Rd Institute of Marine and
Coastal Sciences, New Brunswick, NJ 08901-8521 United States
AU: Haidvogel, D B
EM: dale@imcs.rutgers.edu
AF: Rutgers University, \#\#, Dudley Rd Institute of Marine and
Coastal Sciences, New Brunswick, NJ 08901-8521 United States
AU: Grassle, F J
EM: grassle@imcs.rutgers.edu
AF: Rutgers University, \#\#, Dudley Rd Institute of Marine and
Coastal Sciences, New Brunswick, NJ 08901-8521 United States
AU: von Alt, C J
EM: cvonalt@whoi.edu
AF: Woods Hole Oceanographic Institution, Department of Applied
Ocean Physics and Engineering MS#\#\#, Woods Hole, MA 02543 United States
AB: A real-time multi-platform inter-disciplinary observation
network was operated at the Rutgers University Long-term Ecosystem Observatory (LEO-15)
during the July 1999 NOPP/ONR sponsored Coastal Predictive Skill Experiment. The project
demonstrated numerous remote (satellites and shore-based), stationary (surface and
subsurface), moveable (ships and AUVs) observation systems, several of which are being
transitioned to year-round operational status through the NOAA Middle Atlantic Bight (MAB)
National Undersea Research Center (NURC). The observation network provided spatially
extensive updates of the physics, chemistry and biology on time scales of an hour or
better which were communicated in real-time to shipboard scientists and AUV operators.
This rapid environmental assessment capability effectively changed the current paradigm
for ocean adaptive sampling strategies. In the well-sampled ocean, where forecast errors
are dominated by uncertainties in the model physics or future boundary conditions rather
than initial conditions, ensemble forecasts with differing model parameterizations can be
used to identify regions in which additional data can be used to keep a model on track.
Development of these approaches will be key for sampling episodic events which can play a
disproportionately large role in driving the biogeochemistry of the coastal ocean.
UR: http://marine.rutgers.edu/mrs/
DE: 4219 Continental shelf processes
DE: 4279 Upwelling and convergences
DE: 4294 Instruments and techniques
DE: 4552 Ocean optics
DE: 4556 Sea level variations
SC: OS
MN: 2000 Ocean Sciences Meeting
------------------------------
HR: 10:30h
AN: OS41J-07
TI: Relationship Between Light Attenuation and Suspended
Particulate Material During Nearshore Coastal Upwelling
AU: Grzymski, J J
EM: joeg@imcs.rutgers.edu
AF: Institute of Marine and Coastal Sciences Rutgers University,
\#\# Dudley Rd., New Brunswick, NJ 08901
AU: * Cullen, J T
EM: cullen@imcs.rutgers.edu
AF: Institute of Marine and Coastal Sciences Rutgers University,
\#\# Dudley Rd., New Brunswick, NJ 08901
AU: Peters, E L
EM: elpeters@calpoly.edu
AF: California Polytechnic State University, Biological Sciences
Department, San Luis Obispo, CA 93407
AU: Glenn, S M
EM: glenn@caribbean.rutgers.edu
AF: Institute of Marine and Coastal Sciences Rutgers University,
\#\# Dudley Rd., New Brunswick, NJ 08901
AU: Sherrell, R M
EM: sherrell@imcs.rutgers.edu
AF: Institute of Marine and Coastal Sciences Rutgers University,
\#\# Dudley Rd., New Brunswick, NJ 08901
AU: Schofield, O M
EM: oscar@imcs.rutgers.edu
AF: Institute of Marine and Coastal Sciences Rutgers University,
\#\# Dudley Rd., New Brunswick, NJ 08901
AB: Regressions relating beam attenuation coefficient ({\it c})
to suspended particulate matter (SPM) and particulate organic carbon (POC) concentrations
were developed for optically complex coastal surface waters
UR: http://marine.rutgers.edu/mrs/coolsci.html
DE: 4805 Biogeochemical cycles (1615)
DE: 4806 Carbon cycling
DE: 4825 Geochemistry
DE: 4847 Optics
DE: 4875 Trace elements
SC: OS
MN: 2000 Ocean Sciences Meeting
Presentation Index |
This CD was produced by Rutgers Coastal Ocean
Observation Lab. Please e-mail all inquiries to: flounder@arctic.rutgers.edu. © 2000 RU COOL |
