Dale Haidvogel, John Wilkin and Zhiren Wang Ocean Modeling Group Institute of Marine and Coastal...

1
Dale Haidvogel, John Wilkin and Zhiren Wang Dale Haidvogel, John Wilkin and Zhiren Wang Ocean Modeling Group Ocean Modeling Group Institute of Marine and Coastal Sciences (IMCS), Rutgers University, New Institute of Marine and Coastal Sciences (IMCS), Rutgers University, New Brunswick, NJ Brunswick, NJ [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] Modeling Circulation and Transport Pathways Modeling Circulation and Transport Pathways For Oyster Larvae in Delaware Bay For Oyster Larvae in Delaware Bay Model Implementation The model used: Regional Ocean Modeling System (ROMS) The domain: Delaware River and Estuary, and adjacent shelf out to approximately the 200 m isobath Upper reaches of the Delaware River “wrapped” to minimize computational grid Variable horizontal resolution (see Figs. 1 and 2, right); 386 x 98 grid points 20 vertical levels Bathymetry (Fig. 3) obtained from NGDC Coastal Relief Model http://www. ngdc.noaa.gov/mgg/coastal/coastal.html http://www. ngdc.noaa.gov/mgg/coastal/coastal.html The forcing fields: Boundary tides from the ADCIRC global tidal model Fresh water input at six rivers (Fig. 3) North American Regional Reanalysis (NARR) atmospheric forcing in 3 hr intervals:V 10 , ,u 10 winds,T 2 ,Q air , P, S wr ,L wr from OPeNDAP server for Feb-May1984 http://nomads.ncdc.noaa.gov:9091/dods/ No boundary mean flow or pressure gradient at open boundaries Abstract As part of a collaborative project, supported by the National Science Foundation Ecology of As part of a collaborative project, supported by the National Science Foundation Ecology of Infectious Diseases (NSF EID) program, we have developed and validated a three-dimensional Infectious Diseases (NSF EID) program, we have developed and validated a three-dimensional circulation model of the Delaware Bay. The model, based upon the Regional Ocean Modeling circulation model of the Delaware Bay. The model, based upon the Regional Ocean Modeling System (ROMS), is forced by observed tidal, riverine and atmospheric fluxes. Validation of System (ROMS), is forced by observed tidal, riverine and atmospheric fluxes. Validation of tidal heights and tracer fields for a target period in 1984 shows quantitative agreement tidal heights and tracer fields for a target period in 1984 shows quantitative agreement between the model simulations and concurrent observations. Reconstruction of Lagrangian between the model simulations and concurrent observations. Reconstruction of Lagrangian particle tracks has been used to infer transport pathways of larvae of eastern oysters particle tracks has been used to infer transport pathways of larvae of eastern oysters (Crassostrea Virginica) and MSX and Dermo disease pathogens. Initial results of these (Crassostrea Virginica) and MSX and Dermo disease pathogens. Initial results of these drifter release experiments also agree qualitatively with drifter release experiments also agree qualitatively with known oyster larval distribution patterns. known oyster larval distribution patterns. Other EID PIs: Other EID PIs: Eileen Hofmann, John Klinck, Old Dominion University; David Bushek, Ximing Guo, Eric Eileen Hofmann, John Klinck, Old Dominion University; David Bushek, Ximing Guo, Eric Powell, IMCS Powell, IMCS Other Delaware Bay Research Partners Other Delaware Bay Research Partners : Lyon Lanerolle, NOAA/NOS/OCS/CSDL ( : Lyon Lanerolle, NOAA/NOS/OCS/CSDL ( [email protected] [email protected] ) ) Model Validation: Tides Simulation begun on 1 March 1984 Tides reach equilibrium quickly (Fig. 8) Good agreement in Delaware Bay and River (Fig. 8, lower four panels) Poorest agreement in tidal amplitude at stations outside the Bay (e.g., Fig. 8, top panel) where spatial resolution is the poorest Summary and Next Steps The validated model provides a starting point for the understanding of genetic exchange in The validated model provides a starting point for the understanding of genetic exchange in Delaware Bay oyster populations. In the next phase of this project, we will: 1) add oyster Delaware Bay oyster populations. In the next phase of this project, we will: 1) add oyster larvae behavior to the Lagrangian particle tracking analysis, and 2) begin to explore the larvae behavior to the Lagrangian particle tracking analysis, and 2) begin to explore the impacts of past and potential future changes to circulation patterns in Delaware Bay. impacts of past and potential future changes to circulation patterns in Delaware Bay. Additional model analysis/validation in alternative contemporary time periods (2000-2001 and Additional model analysis/validation in alternative contemporary time periods (2000-2001 and 2005) is also 2005) is also underway. underway. Model validation: T and S T and S comparisons at five stations are shown in Figs. 9 (T, left) and 10 (S, right). Seasonal temperature cycles are qualitatively reproduced, though some event-scale features are missing. The amplitude of salinity fluctuations is about right at the three Bay locations (Fig. 10, top and two bottom panels) Salinity at the two sites outside the Bay is poorly reproduced (Fig. 10, panels 2 and 3 from the top), presumably reflecting the lack of good salinity data on the open boundary. The T and S datasets are very gappy; need careful thought on how to use these data Model Validation: Datasets and locations Datasets covering portions of 1984 and 1985 were provided by our partners at NOAA/NOS/OCS/CSDL. Dataset locations and NOAA/NOS/OCS/CSDL. Dataset locations and their identifying numbers are shown at the right for water their identifying numbers are shown at the right for water level (Fig. 4) and temperature and salinity (Fig.5). level (Fig. 4) and temperature and salinity (Fig.5). Dispersal of passive particles Particle dispersion is influenced in important ways by choices made in the circulation model. Particle dispersion is influenced in important ways by choices made in the circulation model. For example, Figs. 11 and 12 show the locations of particles after 20 days for two simulations For example, Figs. 11 and 12 show the locations of particles after 20 days for two simulations differing in the treatment of passive particle motion. Horizontal dispersal of particles (Fig. differing in the treatment of passive particle motion. Horizontal dispersal of particles (Fig. 13) varies most importantly with the treatment of vertical turbulent advection; particles 13) varies most importantly with the treatment of vertical turbulent advection; particles allowed to move up/down with a vertical random walk scaled to mimic computed turbulence allowed to move up/down with a vertical random walk scaled to mimic computed turbulence levels are less rapidly dispersed horizontally. levels are less rapidly dispersed horizontally. Figure 1 Figure 1 Figure Figure 2 2 Figure Figure 3 3 Figure Figure 4 4 Figure Figure 5 5 Float release locations Passive particles (“floats”) were released near the bottom in groups (Fig. 6) approximately co-located with known oyster beds (Fig. 7). Figure Figure 6 6 Figure Figure 7 7 Figure Figure 8 8 Figure Figure 9 9 Figure Figure 10 10 Figure 11 Figure 11 Figure Figure 12 12 Figure Figure 13 13

Transcript of Dale Haidvogel, John Wilkin and Zhiren Wang Ocean Modeling Group Institute of Marine and Coastal...

Page 1: Dale Haidvogel, John Wilkin and Zhiren Wang Ocean Modeling Group Institute of Marine and Coastal Sciences (IMCS), Rutgers University, New Brunswick, NJ.

Dale Haidvogel, John Wilkin and Zhiren WangDale Haidvogel, John Wilkin and Zhiren WangOcean Modeling GroupOcean Modeling Group

Institute of Marine and Coastal Sciences (IMCS), Rutgers University, New Brunswick, NJInstitute of Marine and Coastal Sciences (IMCS), Rutgers University, New Brunswick, [email protected]@marine.rutgers.edu

[email protected]@marine.rutgers.edu

[email protected]@marine.rutgers.edu

Modeling Circulation and Transport PathwaysModeling Circulation and Transport PathwaysFor Oyster Larvae in Delaware BayFor Oyster Larvae in Delaware Bay

Model Implementation

The model used:

• Regional Ocean Modeling System (ROMS)

The domain:

• Delaware River and Estuary, and adjacent shelf out to approximately the 200 m isobath

• Upper reaches of the Delaware River “wrapped” to minimize computational grid

• Variable horizontal resolution (see Figs. 1 and 2, right); 386 x 98 grid points

•20 vertical levels

• Bathymetry (Fig. 3) obtained from NGDC Coastal Relief Model

http://www. ngdc.noaa.gov/mgg/coastal/coastal.htmlhttp://www. ngdc.noaa.gov/mgg/coastal/coastal.html

The forcing fields:

• Boundary tides from the ADCIRC global tidal model

• Fresh water input at six rivers (Fig. 3)

• North American Regional Reanalysis (NARR) atmospheric forcing in 3 hr intervals:V10,,u10 winds,T2,Qair, P, Swr,Lwr from OPeNDAP server for Feb-May1984http://nomads.ncdc.noaa.gov:9091/dods/

• No boundary mean flow or pressure gradient at open boundaries

Abstract

As part of a collaborative project, supported by the National Science Foundation Ecology of Infectious Diseases As part of a collaborative project, supported by the National Science Foundation Ecology of Infectious Diseases (NSF EID) program, we have developed and validated a three-dimensional circulation model of the Delaware Bay. (NSF EID) program, we have developed and validated a three-dimensional circulation model of the Delaware Bay. The model, based upon the Regional Ocean Modeling System (ROMS), is forced by observed tidal, riverine and The model, based upon the Regional Ocean Modeling System (ROMS), is forced by observed tidal, riverine and atmospheric fluxes. Validation of tidal heights and tracer fields for a target period in 1984 shows quantitative atmospheric fluxes. Validation of tidal heights and tracer fields for a target period in 1984 shows quantitative agreement between the model simulations and concurrent observations. Reconstruction of Lagrangian particle agreement between the model simulations and concurrent observations. Reconstruction of Lagrangian particle tracks has been used to infer transport pathways of larvae of eastern oysters (Crassostrea Virginica) and MSX and tracks has been used to infer transport pathways of larvae of eastern oysters (Crassostrea Virginica) and MSX and Dermo disease pathogens. Initial results of these drifter release experiments also agree qualitatively withDermo disease pathogens. Initial results of these drifter release experiments also agree qualitatively withknown oyster larval distribution patterns.known oyster larval distribution patterns.

Other EID PIs:Other EID PIs: Eileen Hofmann, John Klinck, Old Dominion University; David Bushek, Ximing Guo, Eric Powell, IMCS Eileen Hofmann, John Klinck, Old Dominion University; David Bushek, Ximing Guo, Eric Powell, IMCSOther Delaware Bay Research PartnersOther Delaware Bay Research Partners: Lyon Lanerolle, NOAA/NOS/OCS/CSDL (: Lyon Lanerolle, NOAA/NOS/OCS/CSDL ([email protected]@noaa.gov))

Model Validation: Tides

• Simulation begun on 1 March 1984

• Tides reach equilibrium quickly (Fig. 8)

• Good agreement in Delaware Bay and River (Fig. 8, lower four panels)

• Poorest agreement in tidal amplitude at stations outside the Bay (e.g., Fig. 8, top panel) where spatial resolution is the poorest

Summary and Next Steps

The validated model provides a starting point for the understanding of genetic exchange in Delaware Bay oyster The validated model provides a starting point for the understanding of genetic exchange in Delaware Bay oyster populations. In the next phase of this project, we will: 1) add oyster larvae behavior to the Lagrangian particle tracking populations. In the next phase of this project, we will: 1) add oyster larvae behavior to the Lagrangian particle tracking analysis, and 2) begin to explore the impacts of past and potential future changes to circulation patterns in Delaware analysis, and 2) begin to explore the impacts of past and potential future changes to circulation patterns in Delaware Bay.Bay. Additional model analysis/validation in alternative contemporary time periods (2000-2001 and 2005) is also Additional model analysis/validation in alternative contemporary time periods (2000-2001 and 2005) is alsounderway.underway.

Model validation: T and S

• T and S comparisons at five stations are shown in Figs. 9 (T, left) and 10 (S, right).

• Seasonal temperature cycles are qualitatively reproduced, though some event-scale featuresare missing.

• The amplitude of salinity fluctuations is about right at the three Bay locations (Fig. 10, top and two bottom panels)

• Salinity at the two sites outside the Bay is poorly reproduced (Fig. 10, panels 2 and 3 from the top), presumably reflecting the lack of goodsalinity data on the open boundary.

• The T and S datasets are very gappy; need careful thought on how to use these data

Model Validation: Datasets and locations

Datasets covering portions of 1984 and 1985 were provided by our partners at NOAA/NOS/OCS/CSDL. Dataset locations and their identifying numbers are NOAA/NOS/OCS/CSDL. Dataset locations and their identifying numbers are shown at the right for water level (Fig. 4) and temperature and salinity (Fig.5).shown at the right for water level (Fig. 4) and temperature and salinity (Fig.5).

Dispersal of passive particles

Particle dispersion is influenced in important ways by choices made in the circulation model. For example, Figs. 11 and Particle dispersion is influenced in important ways by choices made in the circulation model. For example, Figs. 11 and 12 show the locations of particles after 20 days for two simulations differing in the treatment of passive particle motion. 12 show the locations of particles after 20 days for two simulations differing in the treatment of passive particle motion. Horizontal dispersal of particles (Fig. 13) varies most importantly with the treatment of vertical turbulent advection; Horizontal dispersal of particles (Fig. 13) varies most importantly with the treatment of vertical turbulent advection; particles allowed to move up/down with a vertical random walk scaled to mimic computed turbulenceparticles allowed to move up/down with a vertical random walk scaled to mimic computed turbulencelevels are less rapidly dispersed horizontally.levels are less rapidly dispersed horizontally.

Figure 1Figure 1

Figure 2Figure 2

Figure 3Figure 3

Figure 4Figure 4

Figure 5Figure 5

Float release locations

Passive particles (“floats”) were released near the bottom in groups (Fig. 6) approximately co-located with known oyster beds (Fig. 7).

Figure 6Figure 6

Figure 7Figure 7

Figure 8Figure 8

Figure 9Figure 9Figure 10Figure 10

Figure 11Figure 11 Figure 12Figure 12 Figure 13Figure 13