High resolution modeling and data assimilation in the Monterey Bay area

I. Shulman; C. R. Wu; J. K. Lewis; J. D. Paduan; L. K. Rosenfeld; J. C. Kindle; S. R. Ramp; C. A. Collins

doi:10.1016/S0278-4343(01)00100-5

High resolution modeling and data assimilation in the Monterey Bay area

I. Shulman^*, C. R. Wu, J. K. Lewis, J. D. Paduan, L. K. Rosenfeld, J. C. Kindle, S. R. Ramp, C. A. Collins

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

44 Citations (Scopus)

Abstract

A high resolution, data assimilating ocean model of the Monterey Bay area (ICON model) is under development within the framework of the project "An Innovative Coastal-Ocean Observing Network" (ICON) sponsored by the National Oceanographic Partnership Program. The main objective of the ICON model development is demonstration of the capability of a high resolution model to track the major mesoscale ocean features in the Monterey Bay area when constrained by the measurements and nested within a regional larger-scale model. This paper focuses on the development of the major ICON model components, including grid generation and open boundary conditions, coupling with a larger scale, Pacific West Coast (PWC) model, atmospheric forcing etc. Impact of these components on the Model's predictive skills in reproducing major hydrographic conditions in the Monterey Bay area are analyzed. Comparisons between observations and the ICON model predictions with and without coupling to the PWC model, show that coupling with the regional model improves significantly both the correlation between the ICON model and observed ADCP currents, and the ICON model's skill in predicting the location and intensity of observed upwelling events. Analysis of the ICON model mixed layer depth predictions show that the ICON model tends to develop a thicker than observed mixed layer during the summer time, and while assimilation of sea surface temperature data is enough for development of observed thin mixed layer in the regional larger-scale model, the fine-resolution ICON model needs variable heat fluxes as surface boundary conditions for the accurate prediction of the vertical thermal structure. The paper targets researchers involved in high-resolution numerical modeling of coastal areas in which the dynamics are determined by the complex geometry of a coastline, variable bathymetry and by the influence of complex water masses from a complicated hydrographic system (such as the California Current system).

Original language	English
Pages (from-to)	1129-1151
Number of pages	23
Journal	Continental Shelf Research
Volume	22
Issue number	8
DOIs	https://doi.org/10.1016/S0278-4343(01)00100-5
Publication status	Published - 2002
Externally published	Yes

Keywords

California
Coastal currents
Data assimilation
HF Radars
Hydrodynamics
Monterey Bay
Numerical modeling
USA
Upwelling

ASJC Scopus subject areas

Oceanography
Aquatic Science
Geology

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10.1016/S0278-4343(01)00100-5

Cite this

@article{12f9adeb6d75413ea59efe96c8e9b256,

title = "High resolution modeling and data assimilation in the Monterey Bay area",

abstract = "A high resolution, data assimilating ocean model of the Monterey Bay area (ICON model) is under development within the framework of the project {"}An Innovative Coastal-Ocean Observing Network{"} (ICON) sponsored by the National Oceanographic Partnership Program. The main objective of the ICON model development is demonstration of the capability of a high resolution model to track the major mesoscale ocean features in the Monterey Bay area when constrained by the measurements and nested within a regional larger-scale model. This paper focuses on the development of the major ICON model components, including grid generation and open boundary conditions, coupling with a larger scale, Pacific West Coast (PWC) model, atmospheric forcing etc. Impact of these components on the Model's predictive skills in reproducing major hydrographic conditions in the Monterey Bay area are analyzed. Comparisons between observations and the ICON model predictions with and without coupling to the PWC model, show that coupling with the regional model improves significantly both the correlation between the ICON model and observed ADCP currents, and the ICON model's skill in predicting the location and intensity of observed upwelling events. Analysis of the ICON model mixed layer depth predictions show that the ICON model tends to develop a thicker than observed mixed layer during the summer time, and while assimilation of sea surface temperature data is enough for development of observed thin mixed layer in the regional larger-scale model, the fine-resolution ICON model needs variable heat fluxes as surface boundary conditions for the accurate prediction of the vertical thermal structure. The paper targets researchers involved in high-resolution numerical modeling of coastal areas in which the dynamics are determined by the complex geometry of a coastline, variable bathymetry and by the influence of complex water masses from a complicated hydrographic system (such as the California Current system).",

keywords = "California, Coastal currents, Data assimilation, HF Radars, Hydrodynamics, Monterey Bay, Numerical modeling, USA, Upwelling",

author = "I. Shulman and Wu, {C. R.} and Lewis, {J. K.} and Paduan, {J. D.} and Rosenfeld, {L. K.} and Kindle, {J. C.} and Ramp, {S. R.} and Collins, {C. A.}",

note = "Funding Information: This work was supported by the National Oceanographic Partnership Program. We would like to thank D.-S. Ko for substantial help with the PWC model and useful discussions of the model results. Also, we would like to thank P. Rochford, S. Derada and S. Cayula for providing PWC model data and atmospheric forcing in 1998, 1999. We would like to thank F. Chavez for providing M1 and M2 mooring data, F. Bahr and M. Cook provided able assistance with the quality-control, processing, and presentation of the mooring and CODAR data, respectively. Computer time was provided in part by grants of HPC time from the DoD HPC Centers at: US Naval Oceanographic Office, Stennis Space Center, Mississippi; US Army Corps. of Engineers Waterways Experiment Station (CEWES). ",

year = "2002",

doi = "10.1016/S0278-4343(01)00100-5",

language = "English",

volume = "22",

pages = "1129--1151",

journal = "Continental Shelf Research",

issn = "0278-4343",

publisher = "Elsevier Limited",

number = "8",

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TY - JOUR

T1 - High resolution modeling and data assimilation in the Monterey Bay area

AU - Shulman, I.

AU - Wu, C. R.

AU - Lewis, J. K.

AU - Paduan, J. D.

AU - Rosenfeld, L. K.

AU - Kindle, J. C.

AU - Ramp, S. R.

AU - Collins, C. A.

N1 - Funding Information: This work was supported by the National Oceanographic Partnership Program. We would like to thank D.-S. Ko for substantial help with the PWC model and useful discussions of the model results. Also, we would like to thank P. Rochford, S. Derada and S. Cayula for providing PWC model data and atmospheric forcing in 1998, 1999. We would like to thank F. Chavez for providing M1 and M2 mooring data, F. Bahr and M. Cook provided able assistance with the quality-control, processing, and presentation of the mooring and CODAR data, respectively. Computer time was provided in part by grants of HPC time from the DoD HPC Centers at: US Naval Oceanographic Office, Stennis Space Center, Mississippi; US Army Corps. of Engineers Waterways Experiment Station (CEWES).

PY - 2002

Y1 - 2002

N2 - A high resolution, data assimilating ocean model of the Monterey Bay area (ICON model) is under development within the framework of the project "An Innovative Coastal-Ocean Observing Network" (ICON) sponsored by the National Oceanographic Partnership Program. The main objective of the ICON model development is demonstration of the capability of a high resolution model to track the major mesoscale ocean features in the Monterey Bay area when constrained by the measurements and nested within a regional larger-scale model. This paper focuses on the development of the major ICON model components, including grid generation and open boundary conditions, coupling with a larger scale, Pacific West Coast (PWC) model, atmospheric forcing etc. Impact of these components on the Model's predictive skills in reproducing major hydrographic conditions in the Monterey Bay area are analyzed. Comparisons between observations and the ICON model predictions with and without coupling to the PWC model, show that coupling with the regional model improves significantly both the correlation between the ICON model and observed ADCP currents, and the ICON model's skill in predicting the location and intensity of observed upwelling events. Analysis of the ICON model mixed layer depth predictions show that the ICON model tends to develop a thicker than observed mixed layer during the summer time, and while assimilation of sea surface temperature data is enough for development of observed thin mixed layer in the regional larger-scale model, the fine-resolution ICON model needs variable heat fluxes as surface boundary conditions for the accurate prediction of the vertical thermal structure. The paper targets researchers involved in high-resolution numerical modeling of coastal areas in which the dynamics are determined by the complex geometry of a coastline, variable bathymetry and by the influence of complex water masses from a complicated hydrographic system (such as the California Current system).

AB - A high resolution, data assimilating ocean model of the Monterey Bay area (ICON model) is under development within the framework of the project "An Innovative Coastal-Ocean Observing Network" (ICON) sponsored by the National Oceanographic Partnership Program. The main objective of the ICON model development is demonstration of the capability of a high resolution model to track the major mesoscale ocean features in the Monterey Bay area when constrained by the measurements and nested within a regional larger-scale model. This paper focuses on the development of the major ICON model components, including grid generation and open boundary conditions, coupling with a larger scale, Pacific West Coast (PWC) model, atmospheric forcing etc. Impact of these components on the Model's predictive skills in reproducing major hydrographic conditions in the Monterey Bay area are analyzed. Comparisons between observations and the ICON model predictions with and without coupling to the PWC model, show that coupling with the regional model improves significantly both the correlation between the ICON model and observed ADCP currents, and the ICON model's skill in predicting the location and intensity of observed upwelling events. Analysis of the ICON model mixed layer depth predictions show that the ICON model tends to develop a thicker than observed mixed layer during the summer time, and while assimilation of sea surface temperature data is enough for development of observed thin mixed layer in the regional larger-scale model, the fine-resolution ICON model needs variable heat fluxes as surface boundary conditions for the accurate prediction of the vertical thermal structure. The paper targets researchers involved in high-resolution numerical modeling of coastal areas in which the dynamics are determined by the complex geometry of a coastline, variable bathymetry and by the influence of complex water masses from a complicated hydrographic system (such as the California Current system).

KW - California

KW - Coastal currents

KW - Data assimilation

KW - HF Radars

KW - Hydrodynamics

KW - Monterey Bay

KW - Numerical modeling

KW - USA

KW - Upwelling

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U2 - 10.1016/S0278-4343(01)00100-5

DO - 10.1016/S0278-4343(01)00100-5

M3 - Article

AN - SCOPUS:0036270369

SN - 0278-4343

VL - 22

SP - 1129

EP - 1151

JO - Continental Shelf Research

JF - Continental Shelf Research

IS - 8

ER -

High resolution modeling and data assimilation in the Monterey Bay area

Abstract

Keywords

ASJC Scopus subject areas

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