Title of article
Bio-optical model for Chesapeake Bay and the Middle Atlantic Bight
Author/Authors
Andrea Magnuson، نويسنده , , Lawrence W. Harding Jr.، نويسنده , , Michael E. Mallonee، نويسنده , , Jason E. Adolf، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2004
Pages
22
From page
403
To page
424
Abstract
Retrievals of bio-optical properties from satellite measurements in Case 2 waters depend on algorithms that account for multiple
constituents affecting spectral quality of the upwelling light flux. Semi-analytical (SA) models are suitable for this purpose, but must
be parameterized with in situ data, particularly in estuarine and coastal waters. We examined spatial and temporal variability of biooptical
properties in Chesapeake Bay and the adjacent Middle Atlantic Bight (CB/MAB) to parameterize and validate the Garver/
Siegel/Maritorena (GSM01) model. Several years (1996–2002) of data on inherent and apparent optical properties confirmed high
scattering and strong absorption by dissolved and particulate components that did not co-vary. These data, consisting of the
chlorophyll (chl a)-normalized phytoplankton absorption coefficient, aph
* (l), and the spectral slope of absorption due to dissolved
and detrital materials, Scdm, were used to optimize model parameters of GSM01 and produce a version of the model tuned for CB/
MAB we have designated GSM01-CB. Performance of GSM01-CB was measured against the globally optimized version of GSM01
and the empirical algorithm, OC4v.4, using both in situ and satellite-derived radiances from the Sea-viewing Wide Field-of-view
Sensor (SeaWiFS) as inputs to the model. GSM01-CB outperformed OC4v.4 in retrieving chl a in CB, and both SA models
outperformed OC4v.4 in MAB. GSM01 and GSM01-CB also returned reasonable estimates of other bio-optical products, including
the absorption coefficient for dissolved and detrital materials, acdm(443), and the particulate backscatter coefficient, bbp(443). We
present alternatives to the parameterization of GSM01-CB to account for interannual variability of aph
* (l) in CB using empirical
relationships with key variables that regulate phytoplankton dynamics in the estuary (i.e., freshwater flow and nutrient loading), and
to include regional gradients of Scdm in MAB.
Keywords
bio-optical modeling , Remote sensing , Case 2 algorithms
Journal title
Estuarine, Coastal and Shelf Science
Serial Year
2004
Journal title
Estuarine, Coastal and Shelf Science
Record number
952905
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