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Data assimilative hindcast of the Gulf of Maine coastal circulation
Authors
Anderson
Aretxabaleta
+46 more
Beardsley
Beardsley
Bennett
Bigelow
Bogden
Bowen
Brooks
Brown
Ezer
Fan
Feng
Foreman
Franks
Galperin
Garfield
Geyer
Griffin
He
Holboke
Holboke
Lewis
Luettich
Lynch
Lynch
Lynch
Lynch
Lynch
Lynch
Manning
McGillicuddy
McGillicuddy
Mellor
Mellor
Oke
Pettigrew
Pickett
Proehl
Ruoying He
Signell
Smagorinsky
Smith
Taylor
Thompson
Townsend
Townsend
Xue
Publication date
1 January 2005
Publisher
'American Geophysical Union (AGU)'
Doi
Cite
Abstract
Author Posting. © American Geophysical Union, 2005. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 110 (2005): C10011, doi:10.1029/2004JC002807.A data assimilative model hindcast of the Gulf of Maine (GOM) coastal circulation during an 11 day field survey in early summer 2003 is presented. In situ observations include surface winds, coastal sea levels, and shelf hydrography as well as moored and shipboard acoustic Doppler D current profiler (ADCP) currents. The hindcast system consists of both forward and inverse models. The forward model is a three-dimensional, nonlinear finite element ocean circulation model, and the inverse models are its linearized frequency domain and time domain counterparts. The model hindcast assimilates both coastal sea levels and ADCP current measurements via the inversion for the unknown sea level open boundary conditions. Model skill is evaluated by the divergence of the observed and modeled drifter trajectories. A mean drifter divergence rate (1.78 km d−1) is found, demonstrating the utility of the inverse data assimilation modeling system in the coastal ocean setting. Model hindcast also reveals complicated hydrodynamic structures and synoptic variability in the GOM coastal circulation and their influences on coastal water material property transport. The complex bottom bathymetric setting offshore of Penobscot and Casco bays is shown to be able to generate local upwelling and downwelling that may be important in local plankton dynamics.This work was supported by CSCOR/COP/ NOAA as part of NOAA MERHAB program. DJM gratefully acknowledges support from JPL through the ocean vector wind science team. DRL and KWS acknowledge support of NOAA/COP ECOHAB program
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