HR: 0830h
AN: OS31D-52    [PDF]
TI: Sensitivity studies of biological-physical models for planktonic ecosystems in coastal upwelling regions.
AU: * Lewis, C V
EM: cvl@socrates.berkeley.edu
AF: Dept. of Integrative Biology, Univ. Calif., Berkeley 3060 VLSB #3140, Berkeley, CA 94720-3140
AU: Powell, T M
EM: zackp@socrates.berkeley.edu
AF: Dept. of Integrative Biology, Univ. Calif., Berkeley 3060 VLSB #3140, Berkeley, CA 94720-3140
AU: Haidvogel, D B
EM: dale@imcs.rutgers.edu
AF: Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, NJ 08901-8521
AU: Edwards, C A
EM: christopher.edwards@uconn.edu
AF: Dept. of Marine Sciences, University of Connecticut, Groton, CT 06340
AU: Batchelder, H P
EM: hbatchelder@oce.orst.edu
AF: Dept. of Coastal, Ocean and Atmosperic Sciences, Oregon State University, Corvallis, OR 08901-5503
AB: A primitive equation transport and circulation model was coupled with idealized biological dynamics to explore ecosystem responses to upwelling on the West Coast of the U. S. Trophic response was simulated using a nitrogen-based model of nutrients, phytoplankton, zooplankton and detritus. Equations were chosen to provide Michaelis-Menten nutrient uptake and Holling Type III grazing; parameter selections compared the effects of microzooplankton grazing rates and feeding efficiencies to those for mesozooplankton. Three dimensional mesoscale circulation around idealized capes and banks was simulated using the Regional Ocean Modeling System (ROMS). Three wind-forcing regimes were explored: constant wind, a smoothed square-wave, and an idealized wind forcing with spectral qualities based on data from the Newport, OR, region. Initial conditions were chosen as horizontally uniform with a pycnocline at 35 meters. The mixed layer relied on a Mellor-Yamada order 2.5 turbulence closure scheme. More complex multi-species biological models are routinely used in current ocean modeling efforts. However, our results for biological quantities indicate that even comparatively simple models are sensitive to small variations in biological parameters.
UR: http://zanclopus.biol.berkeley.edu/cvl/roms
DE: 4815 Ecosystems, structure and dynamics
DE: 4842 Modeling
DE: 4855 Plankton
DE: 4255 Numerical modeling
DE: 4279 Upwelling and convergences
SC: OS
MN: 2002 Ocean Sciences Meeting