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NOPP
Modeling the central California coastal upwelling system: Physics, ecosystems and resource management
or
Simulations of Coastal Ocean Physics and Ecosystems
(SCOPE)
June 1, 2000 to May 31, 2003

The Monterey Bay National
Marine Sanctuary. New high-resolution bathymetry
collected by MBARI is overlaid on the standard bathymetry. Large
version (2.6mb)
Abstract
We propose to model the coastal upwelling ecosystem within the Monterey Bay
National Marine Sanctuary (MBNMS) with high spatial (kms) and temporal (days)
resolution. The high-resolution coastal model is nested within regional and
basin-scale models. The model includes the interconnected physical, chemical,
and biological processes, and is capable of assimilating data from satellites
and in-situ sensors. The model will focus on simulating the observed
seasonal and interannual variations in physical oceanographic forcing and the
chemical and biological consequences.
The rich historical data-base and excellent matrix of real-time ocean observing
systems available in the MBNMS provide a unique environment for the development
of the next generation of coupled coastal physical-biological models. Long-term
(decadal and longer) simulation and prediction will contribute to policy, short
term simulation will guide management. The model will enable the managers of the
MBNMS to fulfill their mandate of promoting "resource protection, research,
education, and public use." It will also direct future observational
efforts within the MBNMS.
Figure 1. Compartments, relationships and responsibilities for
MBNMS modeling effort.
Support of critical research objectives or operational goals
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Directed at NOPP BAA Topic A3, this proposal requests support for the
implementation of a 'node' for data assimilation and modeling activities. These
activities will focus on the local application of global and basin-scale ocean
data assimilation results to solve practical ocean-related problems inshore of
the continental shelfbreak. Our focus will be on the domain of the Monterey Bay
National Marine Sanctuary. We propose to develop a high-resolution
coastal model that will simulate physical, chemical, and biological processes
within this domain. The nested model will be capable of assimilating
global-scale ocean nowcasts and remote sensing data sets. The model will be used
by local, state, and federal agencies for the management of harmful algal
blooms, for the advection and redistribution of pollution, and for long-term
planning.
The proposal brings together academic (UCSC, UCLA, Duke, Univ. of Maine),
industry (HOBI Labs), non-profit (MBARI), and government (JPL, NPS, NRL, MBNMS)
partners. Included are physical, chemical, and biological oceanographers as well
as atmospheric scientists, model developers, and resource managers.
Table 1 Participant Information.
Group
email
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Partner/webpage |
Roles and Tasks |
Email |
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F. Chavez, J.
Ryan,
R.Michisaki, T. Pennington,
MBARI
Non-profit
|
Project management, biological & chemical oceanography |
chfr@mbari.org
ryjo@mbari.org
reiko@mbari.org
peti@mbari.org |
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A. De Vogelaere,
MBNMS
Goverment
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Resource management |
andrew.devogelaere@noaa.gov
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Y. Chao,
Y. Tony Song,
X. Wang
G. Li,
Yury Golubev
JPL
Government
|
Basin-scale models, data assimilation |
yc@pacific.jpl.nasa.gov
song@pacific.jpl.nasa.gov
xiao@pacific.jpl.nasa.gov
zhijin@pacific.jpl.nasa.gov
ygolubev@pacific.jpl.nasa.gov |
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J. McWilliams
P. Marchesiello
X. Capet
H. Frenzel
|
Model nesting, high resolution physical model |
jcm@atmos.ucla.edu
Patrickm@atmos.ucla.edu
capet@atmos.ucla.edu
frenzel@quercus.igpp.ucla.edu |
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R. Maffione
HOBI Labs
Industrial
|
Bio-optical modeling |
maffione@hobilabs.com |
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J. Kindle, B. Penta
P. Rochford
NRL
Government
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Bio-optical and physical
modeling |
kindle@nrlssc.navy.mil
rochford@nrlssc.navy.mil
penta@nrlssc.navy.mil |
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J. Paduan
NPS
Government
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Physical oceanography |
paduan@oc.nps.navy.mil |
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F. Chai
Lei Shi
U of Maine
Educational
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Ecosystem modeling |
fchai@maine.edu
leishi@maine.edu
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B. Marinovic
UCSC
Educational
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Zooplankton dynamics |
marinovic@biology.ucsc.edu |
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R. Barber
Duke
Educational
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Ecosystem modeling |
rbarber@acpub.duke.edu |
| I.
Shulman
|
Numerical modeling, remote
sensing |
igor.shulman@usm.edu |
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Proposed meeting schedule:
Conference calls the first Thursday of the month at 1100 Pacific
time.
- October 5 (Notes)
- November 2
- December 7 (Notes)
- December 2000 (Progress Report)
- January 11
- February 1 (Notes)
- March 1
- April 12 (Thursday)
- April 23-25 Meeting
- May 3
- June 7
- July 5
- August 2
Links
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to contact us through our group's webmaster, Reiko
Michisaki.
Last Updated: 08 April, 2005
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