idealzed kernel simulations report #3 satoshi mitarai ucsb f3 meeting, 12/3/04
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IDEALZED KERNEL SIMULATIONS
REPORT #3
SATOSHI MITARAI
UCSB F3 MEETING, 12/3/04
GOAL OF THIS WORK
■ To investigate larval transport in “idealized” simulations
● To describe long term & short term dispersal kernels
● Four scenarios considered
▷ Strong or weak upwelling
▷ Northern or southern California
■ To develop modeling to establish short time kernels
from available data sets
IDEALIZED SIMULATIONS
■ Idealized is state that shows
1) statistical stationarity
2) statistical homogeneity in alongshore
3) characteristics of coastal current
■ Make particle tracking easier
■ No such simulation in literature
● Need to construct our own
● Focus on Summer, Northern California
ROADMAP
■ Numerical simulation setting
1) Numerical domain
2) Boundary conditions
3) Initial conditions
4) Forcings
■ Show obtained simulation fields & trajectories
■ “Larval dispersion” experiment
○ Issues: particle release, defintion of settlement, etc
1) NUMERICAL DOMAIN
■ 64 x 32 x 20 grid points (8-km resolution)
512 km x 256 km Depth: 20 m -- 500 m
CO
AS
T
O
2) BOUNDARY CONDITIONS
Periodic
Periodic
Free-slip wall
Nudging layer
(heats up domain)
Wind stressOpen B.C.'s
4) FORCINGS
■ Wind stress
● Modeled with Gaussian random process
▷ Statistics determined from NDBC archive
■ Pressure gradient
● Imposed as external force
▷ Computed from dynamic height difference
between Pt. Arena & Pt. Conception
3) INITIAL CONDITIONS
■ Determined using CALCOFI data
● Velocity: geostrophic velocity
▷ No motion at 500db (500m)
● Temperature
▷ Consistent with given density field
● Sea level
▷ Dynamic height with zero mean
COMPUTATION
■ 1080-day simulation with 30-minute time stepping
● Reaches equilibrium within 900 days
■ Release Lagrangian particle
● Every day between 900 and 990 days
▷ Particles travel 90 – 180 days
● Every 8 km in alongshore direction
● 200 km from coast
TEMPERATURE FIELD (SIDE VIEW)
TEMPERATURE FIELD (TOP VIEW)
MEAN TEMPERATURE FIELD
Simulation field Calcofi data #70
LAGRANGIAN PARTICLE DISPERSION
LAGRANGIAN STATISTICS
■ Time scale (days)
● Zonal/meridional: 5.5±2.4 / 5.5±2.3● Poulain & Niiler (1989): 4.6±1.3 / 6.1±3.4
■ Length scale (km)● Zonal/meridional: 34.±20. / 33.±19. ● Poulain & Niiler (1989): 39.±13. / 54.±28.
■ Diffusivity (107 cm2s-1)● Zonal/meridional: 3.1±3.0 / 2.9±2.8● Poulain & Niiler (1989): 4.1±1.8 / 5.9±3.7
“LARVAL PARTICLE” DISPERSION
■ Release particles
● Every 8 km in alongshore direction
● Every 8 km in cross-shore within 36 km from coast
▷ Corresponding depth: 50 ~ 200 m
■ Define settlement
● As event that particles within 4 km from coast
▷ Corresponding depth: 50 m
▷ Once settle, particles stop there
“LARVAL PARTICLE” TRAJECTORIES
“LARVAL PARTICLE” DISPERSION
■ Two types of “larval particles”
● Short PLD
▷ Competency window = 5 ~ 15 days
● Long PLD
▷ Competency window = 30 ~ 90 days
■ Define successful settlement
● As settlement during competency
COUNTING SUCCESSFUL SETTLEMENT
■ Define stations
● Depending on alongshore location
▷ 8-km bin size
■ Sit on one station & observe successful settelers
● How long they were planktonic
▷ Short / long PLD larval particles
● Where they come from
SUCCESSFULL SETTLEMENT AT A STATION (SHORT PLD)
SUCCESSFULL SETTLEMENT AT A STATION (LONG PLD)
SOURCE-DESTINATION MATRIX (SHORT PLD)
SOURCE-DESTINATION MATRIX (LONG PLD)
SUMMARY
■ Stochastic settlement observed, but it depends on
● Particle release
▷ How often (or dense) in space & time?
● Definition of settlement
● Station size
■ We need help on determination of these