THE OCEANOGRAPHY SOCIETY BIENNIAL SCIENTIFIC MEETING
2-5 April 2001
M i a m i Beach, Florida U S A
Listed alphabetically by first author.
Asterisk(*) indicates invited speaker.
A L L A R D , Richard ~, John Christiansen 2, Steve Williams ~ and Larry Jendro ~
The Distributed Integrated Ocean Prediction System (DIOPS)
The Distributed Integrated Ocean Prediction System (DIOPS) is a wave, tide and surf prediction system designed to provide U.S. N a v y and U.S. Joint Forces a capability to predict wave and surf conditions at any given location, worldwide. DIOPS contains a suite of wave, tide and surf models (WAM, REFDIE STWAVE, PCTIDES and SURF3.0) which can be r u n in a nested fashion. DIOPS is designed to operate u n d e r an object- oriented f r a m e w o r k and provides access to environ- mental inputs via the Tactical Environmental Data Server (TEDS). DIOPS will be installed at the Naval Pacific Meteorology and O c e a n o g r a p h y Center in San Diego in Spring 2001, where a Beta-test site with an onboard scientist will be established for training and enhancements. Planned upgrades to the system include the addition of the shallow-water wave model SWAN, which is a full plane m o d e l (offshore and onshore winds and waves) that can be run in both time depen- dant and steady state modes.
'(Corresponding author: R. Allard, [email protected]), Naval Research Laboratory, Stennis Space Center, Mississippi USA
"~Argonne National Laboratory, Argonne, Illinois USA
~Analysis & Technolog35 Middletown, Rhode Island USA
~New Age Systems, Alexandria, Virginia USA
* A P E L , John R.'
From Pictures to Measurements: Four Decades of Ocean Remote Sensing
With the arrival of more-or-less continuous satellite data streams and fully vetted m e a s u r e m e n t capabilities, ocean remote m e a s u r e m e n t has gone from being con- fined to the province of specialists to finding its w a y into the toolkit of working oceanographers. While it has taken well over three decades to come about, data from a variety of sensors can currently give information of m u c h interest across the spectrum of disciplines in our science, even to those concerned with the sea floor if acoustics is included as a remote sensing method. A review is given of some sensor outputs, both historic and current, and examples are presented of remote sensing contributions to the u n d e r s t a n d i n g of various processes and p h e n o m e n a taking place in the sea. The historical imagery, especially, is such that the reluctance of an earlier generation of marine scientists to have m u c h faith in it is perfectly understandable. However, today's data are so splendid that, w h e n b l e n d e d togeth- er with in situ observations and used in quantitative models, m u c h new will be learned about the breadth and d e p t h of the sea. One carmot help but feel excite- ment about the prospects.
'[email protected], Global Ocean Associates, Silver Spring, Maryland USA
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A R B E L O , ManueP
Satellite Algorithm to Derive Skin-Sea Surface Temperatures in the Canary Islands
The estimation of sea surface temperature (SST) from satellite is performed by means of multichannel algo- rithms with infrared channels from sensors ATSR-ERS and AVHRR-NOAA. Commonly, these algorithms express the SST as a linear combination of the satellite brightness temperatures in those channels with con- stant coefficients obtained empirically by means of sta- tistical regressions of in situ and satellite surface tem- peratures. However, the atmospheric dependence of the split-window coefficients prevents the use of global algorithms in local studies. As a consequence, it is nec- essary to derive algorithms limited to areas of certain atmospheric conditions. Due to our interest in the Canary Islands Sea, we have determined an optimized regional algorithm for SST with a statistical method from simulated measurements with a radiative transfer code and a set of radiosoundings. We have added the angular dependence and a term that contains the marine aerosols correction into the final split-window equation. Results of application of this method and its intercomparison with algorithms from other authors are analyzed. We concluded that the model suggested here seems very appropriate for the determination of SST in the portion of the Atlantic Ocean around the Canary Islands.
[email protected], Universidad de La Laguna, Canary Islands, Spain
ARNONE, R.A. ~, R.W. Gould, Jr. ~, P.J. Hogan ~, G.A.
Jacobs ~, R.H Preller', S.K Riedlinger ~ and S.D. Ladner -~
Seasonal Cycle of Bio-optics and Temperature of the Japan/East Sea
The seasonal cycle of the bio-optical properties and the sea surface temperature are described in the J a p a n / East Sea using SeaWIFS and AVHRR satellite imagery for 1998 - 2000. We show h o w this cycle is linked to the seasonal circulation of the basin. The spring bloom begins in the southern basin in March and propagates into the northern basin in late May. The spring bloom closely follows the sea surface warming in the basin with increasing solar insulation. A strong b l o o m ( > l m g / m ~) is well defined at the Subpolar front in May which is characterized by a complex series of anticy- clonic eddies. By summer (June), the basin has low chlorophyll levels (<0.1 mg/1) with elevated SST. A fall chlorophyll bloom occurs in Nov, begins in the northern basin (>1.0 mg/m~), and m o v e d into the southern basin
by January. We observed a 2-week difference in the t:im- ing of the spring bloom in 1998 and 1999. We show h o w the chlorophyll distribution is associated with SST front locations and that the locations of biological and SST fronts are not always the same and they change season- ally in the basin. We further characterize the bio-opt~Lcal distribution in the JES using SeaWIFS to estimate the backscattering (bb550) (particle concentration) and absorption from dissolved organic matter (adg) in addi- tion to chlorophyll concentration. These prolSerties are used to trace biological water mass evolution in the basin using a 3 axis ternary plot. We show how the distribution of these properties during the spring bloom is coupled to the physical processes associated with the anticyclic eddies at the Subpolar front.
~(Corresponding author: R.A. Arnone,
[email protected]), Naval Research Laboratory, Stennis Space Center, Mississippi USA
:Plarming Systems, Inc., Stennis Space Center, Mississippi USA
B A R B E R , R.T. ~, R.C. Dugdale:, EP. Wilkerson ~-, E Chai 3, M. Jiang ~ and T-H. Peng ~
Modeling the Ecosystem Responses and CO 2 D r a w d o w n of Transient In Situ Iron-enrichment Experiments in the Equatorial Pacific Ocean
In situ iron-enrichment experiments in the Southern Ocean and the equatorial Pacific Ocean have shown that transient addition of very low concentrations of iron to high-nitrate, low-chlorophyll (HNLC) waters sets in motion changes in the productivity and growth of picoplankton, larger phytoplankton and the grazers of both of these groups. The logistic constraints of single-ship experiments have prevented these other- wise successful efforts from resolving the full temporal pattern of responses. These experiments necessarily have been limited to 20 days or less. To overcome the temporal (and spatial) constraints we use an ocean ecosystem model developed for the equatorial Pacific Ocean. The model consists of ten c o m p a r t m e n t s describing two size classes of phytoplankton and zoo- plankton, detrital nitrogen and detrital silicon, silicate, total CO 2 and two forms of dissolved inorganic nitro- gen: nitrate (NO3) and a m m o n i u m (NH4), which are treated separately, thus enabling division of primary production into n e w p r o d u c t i o n a n d regenerated production. This ten-component biological model is coupled with a three-dimensional ocean circulation model based on the Modular Ocean Model and forced with COADS monthly wind and heat flux. In the eastern equatorial Pacific, multiple iron-enrichment
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