The Influence of Diel Vertical Migration on Krill Recruitment to Monterey Bay Sarah Carr Summer Internship Project Monterey Bay Aquarium Research Institute.

Slides:



Advertisements
Similar presentations
WHERE IS F3 IN MODELING LARVAL DISPERSAL? Satoshi Mitarai, David Siegel University of California, Santa Barbara, CA Kraig Winters Scripps Institution of.
Advertisements

Seasonal and Interannual Variability of Peruvian anchovy Population Dynamics --progress report-- Yi Xu and Fei Chai June 2007.
Working Group 4 Coastal Biogeochemistry Forum, June 23-25, 2004 K. Lindsay, G. McKinley, C. Nevison, K. Plattner, R. Seifert Can coastal ecosystems be.
Chubaka Producciones Presenta :.
Chesapeake Bay Lagrangian Floats Analysis. Motivation Lagrangian float has its advantage in describing waters from different origins. We follow definition.
IDEALZED KERNEL SIMULATIONS REPORT #3 SATOSHI MITARAI UCSB F3 MEETING, 12/3/04.
High-Resolution Baroclinic Ocean Simulations for the East Florida Shelf: Frontal Eddies to Reef Scale Processes Jerome Fiechter and Christopher N.K. Mooers.
2012 JANUARY Sun Mon Tue Wed Thu Fri Sat
Low frequency variability of the CCS: effect of the El Nino. X. Capet, J McWilliams, A. Shchepetkin (UCLA) Eastern Pacific Ocean Conference 2004.
ROLE OF HEADLANDS IN LARVAL DISPERSAL Tim Chaffey, Satoshi Mitarai Preliminary results and research plan.
Quantitative Description of Particle Dispersal over Irregular Coastlines Tim Chaffey, Satoshi Mitarai, Dave Siegel.
Physical Oceanographic Observations and Models in Support of the WFS HyCODE College of Marine Science University of South Florida St. Petersburg, FL HyCode.
CCS dynamics: sensitivity to wind forcing, heat flux and boundary conditions Roms workshop, 2003 X. Capet, P. Penven, P. Marchesiello, J. McWilliams UCLA.
GOAL OF THIS WORK ■ To investigate larval transport in “idealized” simulations ● To describe long term & short term dispersal kernels ● Four scenarios.
Larval Connectivity Talk Goals 1.) INTRODUCE A NEW FLOW DATASET 2.) COMPARE WITH OLD 3.) STATISTICS... SOME WAYS OF VISUALIZING THE DATA.
Flow, Fish & Fishing A Biocomplexity Project
WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-4: Module- 3 Regional Climate.
Scaling of Larval Transport in the Coastal Ocean Satoshi Mitarai, Dave Siegel, Kraig Winters Postdoctoral Researcher University of California, Santa Barbara.
Influence functions for the WLEF tower (z=400m) for the June, July, August and September 2000 Simulation: RAMS v4.3 with two nested grids (Δx=100km and.
SIMULATION SETUP Modeled after conditions found in the central coast of California (CalCOFI line 70) during a typical July Domain is unstructured in alongshore.
Submesoscale secondary instability in an upwelling system: mechanisms and implications for upper ocean dynamics X. Capet, J. McWilliams, J. Molemaker,
Modeling approach to regional flux inversions at WLEF Modeling approach to regional flux inversions at WLEF Marek Uliasz Department of Atmospheric Science.
MODULATING FACTORS OF THE CLIMATOLOGICAL VARIABILITY OF THE MEXICAN PACIFIC; MODEL AND DATA. ABSTRACT. Sea Surface Temperature and wind from the Comprehensive.
The Physical Modulation of Seasonal Hypoxia in Chesapeake Bay Malcolm Scully Outline: 1)Background and Motivation 2)Role of Physical Forcing 3)Simplified.
EGU 2012, Kristine S. Madsen, High resolution modelling of the decreasing Arctic sea ice Kristine S. Madsen, T.A.S. Rasmussen, J. Blüthgen and.
Effects of Ocean-Atmosphere Coupling in a Modeling Study of Coastal Upwelling in the Area of Orographically-Intensified Flow Natalie Perlin, Eric Skyllingstad,
“IDEALIZED” WEST COAST SIMULATIONS Numerical domain Boundary conditions Forcings Wind stress: modeled as a Gaussian random process - Statistics (i.e.,
Sea Ice Deformation Studies and Model Development
Modeling study of the coastal upwelling system of the Monterey Bay area during 1999 and I. Shulman (1), J.D. Paduan (2), L. K. Rosenfeld (2), S.
CeNCOOS Glider Activities Francisco Chavez Senior Scientist Monterey Bay Aquarium Research Institute.
Numerical Simulation of an Upwelling Event in the Southern California Bight (SCB) Changming “Charles” Dong IGPP, UCLA Collaborators: J. McWilliams, M.
Modeled spatial and temporal distribution of Euphausia pacifica in the California Current from a coupled ocean circulation model and individual-based model.
Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.
A High Resolution Coupled Sea-Ice/Ocean Model for the Antarctic Peninsula Region Michael S. Dinniman John M. Klinck Andrea Piñones Center for Coastal Physical.
Dale Haidvogel, John Wilkin and Zhiren Wang Ocean Modeling Group Institute of Marine and Coastal Sciences (IMCS), Rutgers University, New Brunswick, NJ.
Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model Hiroyuki Murakami (AESTO/MRI, Japan) Akio.
GP33A-06 / Fall AGU Meeting, San Francisco, December 2004 Magnetic signals generated by the ocean circulation and their variability. Manoj,
Over the northern West Florida Shelf several reef fish species (with gag grouper being a key species) spawn near the outer shelf edge in winter and early.
Modeling the Gulf of Alaska using the ROMS three-dimensional ocean circulation model Yi Chao 1,2,3, John D. Farrara 2, Zhijin Li 1,2, Xiaochun Wang 2,
Possible North Atlantic extratropical cyclone activity in a warmer climate Lanli Guo William Perrie Zhenxia Long Montreal 2012 Bedford Institute of Oceanography,
Time scales of physics vs. biology ENSO effects on biology Pacific Decadal Oscillation (PDO)
Ocean Surface Current Observations in PWS Carter Ohlmann Institute for Computational Earth System Science, University of California, Santa Barbara, CA.
2011 Calendar Important Dates/Events/Homework. SunSatFriThursWedTuesMon January
Permanent Meanders in the California Current System and Comparison of Near- Surface Observations with OGCM Solutions Luca Centurioni (SIO-PORD) Collaborators:
NUMERICAL STUDY OF THE MEDITERRANEAN OUTFLOW WITH A SIMPLIFIED TOPOGRAPHY Sergio Ramírez-Garrido, Jordi Solé, Antonio García-Olivares, Josep L. Pelegrí.
The California Current System from a Lagrangian Perspective Carter Ohlmann Institute for Computational Earth System Science, University of California,
Wind-SST Coupling in the Coastal Upwelling --- An Empirical Numerical Simulation X. Jin, C. Dong, and J. C. McWilliams (IGPP/UCLA) D. B. Chelton (COAS/OSU)
TEMPORAL VISUALIZATION OF DATA FROM THE FRENCH SENTINEL NETWORK.
July 2007 SundayMondayTuesdayWednesdayThursdayFridaySaturday
Forecasting smoke and dust using HYSPLIT. Experimental testing phase began March 28, 2006 Run daily at NCEP using the 6Z cycle to produce a 24- hr analysis.
THE BC SHELF ROMS MODEL THE BC SHELF ROMS MODEL Diane Masson, Isaak Fain, Mike Foreman Institute of Ocean Sciences Fisheries and Oceans, Canada The Canadian.
Modelling activities at Institute of Oceanography and Fisheries (IOF), Split within ADRICOSM-EXT project Gordana Beg Paklar Institute of Oceanography and.
Downscaling the Effects of Global Change on the Coastal Transition Zone of Western Iberian Peninsula Jesús Dubert, Ana Pires, Rita Nolasco, Alfredo Rocha.
IN THIS Slide show YOU WILL LEARN ABOUT ALL VERSIONS OF "MS OFFICE"
Hindcasted wave dynamic during the passage of typhoons
Coupled atmosphere-ocean simulation on hurricane forecast
Dictation practice 2nd Form Ms. Micaela-Ms. Verónica.
October 23-26, 2012: AOMIP/FAMOS meetings
Weather forecasting in a coupled world
McDonald’s Kalender 2009.
McDonald’s Kalender 2009.
McDonald’s Kalender 2009.
McDonald’s calendar 2007.
Adjoint Sensitivity Studies on the US East Coast
McDonald’s calendar 2007.
Habitat Changes and Fish Migration
2015 January February March April May June July August September
Habitat Changes and Fish Migration
Presentation transcript:

The Influence of Diel Vertical Migration on Krill Recruitment to Monterey Bay Sarah Carr Summer Internship Project Monterey Bay Aquarium Research Institute Mentor: Francisco Chavez and Tim Pennington

Background Using coupled biological-physical model Physical model: –ROMS circulation model (UCLA) used to generate current velocity fields of Monterey Bay region Coupled model: –Krill (E. pacifica) modeled as Lagrangian drifters with diel vertical migration (DVM) –Idealized scenarios (passive and idealized DVM) applicable to other organisms

ROMS Setup Grid: –1.6 km resolution near Monterey Bay –5 km resolution regionally –Variable vertical resolution (20 sigma levels) Driver: Coamps/Quickscat blended wind product Time: October September 2000 “Offline” Model Runs: ROMS velocity fields recorded 2X daily and averaged

Grids and Sample Model Output 5 km resolution1.6 km resolution

Experimental Design Behaviors –Passive –Set DVM Swimming speed = 50, 100, 200, 300 m/hr ( m/s) Vertical velocity = Model vertical velocity + Swimming speed –Ontogenetic changes in DVM capacity of E. pacifica

Experimental Design Release locations: –Horizontal 10 krill sampling locations in Monterey Bay –Vertical Passive- Surface, 50, 100, 200, 300 m All DVM- Surface

Experimental Design Release times: –Daily at midnight –3 seasons Upwelling (March- May) Oceanic (August- October) Davidson (November- January) Duration of tracking: –Idealized Behaviors- 20 days –Krill- ~ 6 mo. Average alongshore current velocity at the M1 mooring. Figure from Chavez et al

Results: Model Sensitivity Starting Location Starting Time: –Hour –Day –Season Starting Depth Behavior Note: The following results are for particles started at these locations on six consecutive days in January and July 2000.

Temperature/Velocity Fields at Start of Simulations

Sensitivity to Start Time: Season

Sensitivity to Behavior

Sensitivity to Initial Depth- July 2000

Suggestions? Experimental design: –Behavior –Release locations (H,V) –Release time –Duration of tracking Visualization –Trajectories (2D, 3D) –Particle Density