jerome fiechter ocean sciences department university of california, santa cruz
DESCRIPTION
Seasonal and Interannual Ecosystem Variability in the Coastal Gulf of Alaska. Jerome Fiechter Ocean Sciences Department University of California, Santa Cruz ROMS Workshop, Grenoble, 6-8 October 2008. Collaborators. Andy Moore – University of California, Santa Cruz - PowerPoint PPT PresentationTRANSCRIPT
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Jerome Fiechter
Ocean Sciences Department
University of California, Santa Cruz
ROMS Workshop, Grenoble, 6-8 October 2008
Seasonal and Interannual Ecosystem Variability
in the Coastal Gulf of Alaska
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Andy Moore – University of California, Santa Cruz
Chris Edwards – University of California, Santa Cruz
Ken Bruland – University of California, Santa Cruz
Manu Di Lorenzo – Georgia Institute of Technology
Zack Powell – University of California, Berkeley
Al Hermann – NOAA / PMEL
Enrique Curchitser – Rutgers University
Hernan Arango – Rutgers University
Kate Hedstrom – ARSRC, Fairbanks
Collaborators
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Outline
• Physical/biological properties of Coastal Gulf of Alaska (CGOA)
• Ocean circulation, ecosystem, and iron limitation models
• Seasonal and interannual ecosystem variability (EOFs)
• Summary
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CGOA Physical and Biological Properties
Physical Variability• Downwelling-favorable wind regime (Stabeno et al., 2004)
• AS intrinsic mesoscale variability (Combes and Di Lorenzo, 2007)
• Anticyclonic (Yakutat) eddy passages (Okkonen et al., 2003)
Biological Variability• CGOA: high-productivity shelf, fisheries
• Subarctic Gyre: HNLC region (Lam et al., 2006)
• Iron limitation on primary production (Strom et al., 2006)
Interannual Variability• 1997-1998 El Niño; 1999 La Niña
• 1999 NEP “Cold” Regime Shift (Peterson and Schwing, 2003)
• 2002 NEP Subsurface Cold Event (Curchitser et al., 2005)
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Ocean Circulation Model: CGOA-ROMS
• ROMS: ~ 10 km horizontal resolution, 42 sigma levels
• One-way offline nesting with North East Pacific ROMS
• Monthly mean atmospheric and open boundary forcing
• 5-year simulation (1998 through 2002)
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Lower Trophic Level Ecosystem Model
• NEMURO: 11 components; 83 parameters (Kishi et al., 2007)
Strom et al., 2007
PS: Nano P
PL: Diatoms
ZS: Ciliates
ZL: Copepods
ZP: KrillFe
NCP
FR p
:
22
2
lim
FekR
RFe
Iron-limited phytop. growth
(Fiechter et al., 2008)
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Surface Chlorophyll and Nutrients: Seaward Line, 2001
NEMURO-Fe (x) GLOBEC in situ (squares)
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Surface Chlorophyll: NEMURO-Fe vs. SeaWiFS
SeaWiFS
SeaWiFS
SeaWiFS
SeaWiFS
SeaWiFS
NEMURO
NEMURO
NEMURO
NEMURO
NEMURO
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Surface Chlorophyll EOFs: NEMURO-Fe vs. SeaWiFS
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Surface Chlorophyll EOFs: Diatoms vs. Nanophytop.
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Sea Surface Height and Eddy Kinetic Energy EOFs
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Alongshore Wind Stress and Wind Stress Curl EOFs
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Spring Bloom Variability and Winter Ekman Pumping
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Wind Stress Curl, Ekman Pumping, Nutrient Upwelling
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Aleutian Low Classification (Bering Sea Winter Climate)
Sea level pressure (hPa)
Rodionov et al., 2005
(La Niña)
(El Niño)
(Split Center Pattern)
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Summary
• Ecosystem model reproduces chlorophyll seasonal cycle
and interannual variability, but underestimates fall bloom
• Ecosystem model reproduces phytoplankton community
structure (diatoms on shelf and nanophytoplankton offshore)
• Seasonal cycle and interannual variability account for 80%
of explained variance in model and 40% in observations
• Spring bloom interannual variability correlated with winter
Ekman pumping (i.e., wind stress curl) in northern CGOA
• Connection to Aleutian Low variability in North Pacific?