A COAMPS™ reanalysis for the Eastern Pacific: Properties of the diurnal sea breeze along the central California coast

Kindle, John C.; Hodur, Richard M.; deRada, Sergio; Paduan, Jeffrey D.; Rosenfeld, Leslie K.; Chavez, Francisco Q.

doi:10.1029/2002gl015566

Cited by 27 publications

(31 citation statements)

References 11 publications

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“…Indeed, QuikSCAT observations are not valid on a band of 50 km from the coast. Nevertheless, coastal winds were extrapolated from offshore; short scale coastal variations, such as those observed in the California Current System [Kindle et al, 2002;Capet et al, 2004], are not present in the model wind forcing.…”

Section: Sea Surface Temperaturementioning

confidence: 99%

Average circulation, seasonal cycle, and mesoscale dynamics of the Peru Current System: A modeling approach

et al. 2005

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[1] The Humboldt Current System is the most productive of the eastern boundary currents. In the northern part, the Peru Current System (PCS) is located between 5°S and 20°S. Along the Peruvian coast, an equatorward wind forces a strong coastal upwelling. A high resolution model is designed to investigate the mean circulation, the seasonal cycle, and the mesoscale dynamics for the PCS. The model is able to reproduce the equatorward Peru Coastal Current (PCC), the Peru Chile Under-Current (PCUC) which follows the shelf break towards the pole, and the Peru-Chile Counter-Current (PCCC) which flows directly towards the south and veers to the west around 15°S. While the upper part of the PCUC is close to the surface and might even outcrop as a counter current, the bottom part follows f H isolines. The PCCC appears to be directly forced by the cyclonic wind stress curl. The model is able to produce the upwelling front, the cold water tongue which extends toward the equator and the equatorial front as described in the literature. Model seasonal changes in SST and SSH are compared to measurements. For the central PCS, model EKE is 10% to 30% lower than the observations. The model eddy diameters follow a strong equatorward increase. The injection length scales, derived from the energy spectra, strongly correlate to the Rossby radius of deformation, confirming the predominant role of baroclinic instability. At 3°S, the model solution appears to switch from a turbulent oceanic regime to an equatorial regime dominated by zonal currents.Citation: Penven, P., V. Echevin, J. Pasapera, F. Colas, and J. Tam (2005), Average circulation, seasonal cycle, and mesoscale dynamics of the Peru Current System: A modeling approach,

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Section: Sea Surface Temperaturementioning

confidence: 99%

Average circulation, seasonal cycle, and mesoscale dynamics of the Peru Current System: A modeling approach

et al. 2005

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“…For this reason, the focus of numerical simulations was on accurate model predictions in the upper 100 m of the water column (especially predictions of velocity fields). To achieve this objective, the following important observations and forcings were uti- (Hodur 1997;Kindle et al 2002). (b) High-frequency coastal radar (CODAR) surface currents were assimilated into hydrodynamic models based on the scheme described in Paduan and Shulman (2004 (Fig.…”

Section: Circulation Modelsmentioning

confidence: 99%

Bioluminescence Intensity Modeling and Sampling Strategy Optimization*

Shulman

Kindle

McGillicuddy

et al. 2005

Journal of Atmospheric and Oceanic Technology

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The focus of this paper is on the development of methodology for short-term (1-3 days) oceanic bioluminescence (BL) predictions and the optimization of spatial and temporal bioluminescence sampling strategies. The approach is based on predictions of bioluminescence with an advection-diffusion-reaction (tracer) model with velocities and diffusivities from a circulation model. In previous research, it was shown that short-term changes in some of the salient features in coastal bioluminescence can be explained and predicted by using this approach. At the same time, it was demonstrated that optimization of bioluminescence sampling prior to the forecast is critical for successful short-term BL predictions with the tracer model. In the present paper, the adjoint to the tracer model is used to study the sensitivity of the modeled bioluminescence distributions to the sampling strategies for BL. The locations and times of bioluminescence sampling prior to the forecast are determined by using the adjoint-based sensitivity maps. The approach is tested with bioluminescence observations collected during August 2000 and 2003 in the Monterey Bay, California, area. During August 2000, BL surveys were collected during a strong wind relaxation event, while in August 2003, BL surveys were conducted during an extended (longer than a week) upwellingfavorable event. The numerical bioluminescence predictability experiments demonstrated a close agreement between observed and model-predicted short-term spatial and temporal changes of the coastal bioluminescence.

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“…The work by Kindle et al (2002) utilized the observed winds from the MBARI moorings in Monterey Bay to help validate the COAMPS model winds and to demonstrate the ability of the finest COAMPS grid (9km) to accurately represent the diurnal sea breeze along the central California coast. Based on this study, a new understanding of the behavior of the sea breeze along the US west coast has been provided.…”

Section: Resultsmentioning

confidence: 99%

Modeling the Central California Coastal Upwelling System: Physics, Ecosystems and Resource Management

Chávez¹,

Barber²,

Chai³

et al. 2002

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A COAMPS™ reanalysis for the Eastern Pacific: Properties of the diurnal sea breeze along the central California coast

Cited by 27 publications

References 11 publications

Average circulation, seasonal cycle, and mesoscale dynamics of the Peru Current System: A modeling approach

Average circulation, seasonal cycle, and mesoscale dynamics of the Peru Current System: A modeling approach

Bioluminescence Intensity Modeling and Sampling Strategy Optimization*

Modeling the Central California Coastal Upwelling System: Physics, Ecosystems and Resource Management

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