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Wind Stress Dynamics in Chesapeake Bay: Spatiotemporal Variability and Wave Dependence in a Fetch-Limited Environment

Alexander W. Fisher University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, Maryland

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Lawrence P. Sanford University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, Maryland

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Steven E. Suttles University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, Maryland

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Print Publication:
01 Oct 2015
DOI:
https://doi.org/10.1175/JPO-D-15-0004.1
Page(s):
2679–2696
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Abstract

The spatiotemporal variability of wind stress dynamics in Chesapeake Bay has been investigated using a combination of observations and numerical modeling. Direct measurements of momentum and surface heat fluxes were collected using an ultrasonic anemometer deployed on a fixed tower in the middle reaches of Chesapeake Bay in the spring of 2012 along with collocated wave measurements. These measurements were compared to bulk estimates of wind stress using wave-dependent formulations of the Charnock parameter (alpha). Results indicate that a constant alpha value of 0.018 reasonably represents observed stress values, but estimates can be improved by the inclusion of surface wave information in the parameterization of alpha. Using a wave age formulation of alpha in combination with an optimally interpolated 10-m neutral wind field, a third-generation numerical wave model, Simulating Waves Nearshore (SWAN), was employed to investigate the spatiotemporal variability of wind stress across the estuary. Alpha values were found to be wind speed dependent and displayed spatial distributions that ranged between open-ocean values and strongly fetch-limited values. Model results suggest that variable wind stress dynamics stemming from a combination of variable surface winds and fetch-limited wave growth may result in the 10-m neutral drag coefficient varying by a factor of 2 across the estuary. Up to 20% of these changes can be directly attributed to the effects of variable waves.

University of Maryland Center for Environmental Science Contribution Number 5063.

Corresponding author address: Alexander W. Fisher, University of Maryland Center for Environmental Science, Horn Point Laboratory, 2020 Horns Point Road, P.O. Box 775, Cambridge, MD 21613. E-mail: awfisher@umces.edu

Abstract

The spatiotemporal variability of wind stress dynamics in Chesapeake Bay has been investigated using a combination of observations and numerical modeling. Direct measurements of momentum and surface heat fluxes were collected using an ultrasonic anemometer deployed on a fixed tower in the middle reaches of Chesapeake Bay in the spring of 2012 along with collocated wave measurements. These measurements were compared to bulk estimates of wind stress using wave-dependent formulations of the Charnock parameter (alpha). Results indicate that a constant alpha value of 0.018 reasonably represents observed stress values, but estimates can be improved by the inclusion of surface wave information in the parameterization of alpha. Using a wave age formulation of alpha in combination with an optimally interpolated 10-m neutral wind field, a third-generation numerical wave model, Simulating Waves Nearshore (SWAN), was employed to investigate the spatiotemporal variability of wind stress across the estuary. Alpha values were found to be wind speed dependent and displayed spatial distributions that ranged between open-ocean values and strongly fetch-limited values. Model results suggest that variable wind stress dynamics stemming from a combination of variable surface winds and fetch-limited wave growth may result in the 10-m neutral drag coefficient varying by a factor of 2 across the estuary. Up to 20% of these changes can be directly attributed to the effects of variable waves.

University of Maryland Center for Environmental Science Contribution Number 5063.

Corresponding author address: Alexander W. Fisher, University of Maryland Center for Environmental Science, Horn Point Laboratory, 2020 Horns Point Road, P.O. Box 775, Cambridge, MD 21613. E-mail: awfisher@umces.edu
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