A Three-Dimensional Simulation of the Hudson–Raritan Estuary. Part II: Comparison with Observation

Oey, Lie Yauw; Mellor, George L.; Hires, Richard I.

doi:10.1175/1520-0485(1985)015<1693:atdsot>2.0.co;2

Cited by 66 publications

(17 citation statements)

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“…During summer the MMJ remains hugged to the African coast up to 29 • E, and the Mersa-Matruh gyre, appearing now as a three-lobe structure (Ozsoy et al, 1993;MalanotteRizzoli et al, 1999), is completely to the north of the jet. During this period of the year, Mersa-Matruh expands spatially and strengthens.…”

Section: Circulation Patternsmentioning

confidence: 99%

A one-way nested eddy resolving model of the Aegean and Levantine basins: implementation and climatological runs

2003

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Abstract. The present study deals with the implementation of an eddy resolving model of the Levantine and Aegean basins and its one-way nesting with a coarse resolution (1/8 • × 1/8 • ) global Mediterranean general circulation model. The modelling effort is done within the framework of the Mediterranean Forecasting System Pilot Project as an initiative towards real-time forecasting within the eastern Mediterranean region.The performed climatological runs of the nested model have shown very promising results on the ability of the model to capture correctly the complex dynamics of the area and at the same time to demonstrate the skill and robustness of the nesting technique applied.A second aim of this study is to prepare a comprehensive climatological surface boundary conditions data set for the Mediterranean Sea. This data set has been developed within the framework of the same research project and is suitable for use in ocean circulation models of the Mediterranean Sea or parts of it. The computation is based on the ECMWF 6-h atmospheric parameters for the period 1979-1993 and a calibrated set of momentum and heat flux bulk formulae resulted from previous studies for the Mediterranean region.

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Section: Circulation Patternsmentioning

confidence: 99%

A one-way nested eddy resolving model of the Aegean and Levantine basins: implementation and climatological runs

2003

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“…1). This partially mixed drowned river estuary is relatively shallow (< 8 m) [19] with major fresh water discharges from the Hudson, Raritan, Passaic and Hackensack Rivers. Over the last century the quality of the estuarine water has degraded in part due to eutrophication, which disrupts the pre-existing natural balance of the system, resulting in phytoplankton blooms of both increased frequency and intensity in response to the over-enrichment.…”

Section: Study Areamentioning

confidence: 99%

Utility of Field Spectroradiometer Data in Chlorophyll-α Estimation

Bagheri¹

2012

TORMSJ

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Abstract:We present here results supporting the use of Medium Resolution Imaging Spectrometer (MERIS)-based Near Infrared-Red algorithms for estimating chlorophyll-a (chl-a) concentration in complex coastal waters. The objective of the study was to test the potential of universal applicability of NIR-Red algorithms, calibrated with (a) radiometric measurements and in situ data from inland waters in Nebraska, (b) MERIS data, acquired over Azov Sea in Russia, and (c) data synthetically generated using a radiative transfer model, to estimate chl-a concentration in the Hudson/Raritan Estuary of New York/New Jersey. We used a set of in situ reflectance and water samples collected in the Hudson/Raritan Estuary of New York/New Jersey for this validation. The NIR-Red algorithms produced consistently accurate estimates of chl-a concentration, ranging from 3.9 mg m -3 to 26.3 mg m 3 , with the root mean square error (RMSE) below 2 mg m -3 . The algorithms do not need re-parameterization and it presents a strong case for the use of NIR-Red algorithms for real-time quantitative monitoring of Hudson/Raritan Estuary, and potentially other inland and coastal waters.

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“…The estuary is a partially mixed drowned river estuary [7] and it is relatively shallow (<8 m). The slow estimated flushing time of the estuary, 16-21 days or 32 to 42 tidal cycles [8], tends to retain pollutants entering the system and delay dilution with receiving waters.…”

Section: Study Areamentioning

confidence: 99%

Nearshore Water Quality Estimation Using Atmospherically Corrected AVIRIS Data

Bagheri

2011

Remote Sensing

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Abstract:The objective of the research is to characterize the surface spectral reflectance of the nearshore waters using atmospheric correction code-Tafkaa for retrieval of the marine water constituent concentrations from hyperspectral data. The study area is the nearshore waters of New York/New Jersey considered as a valued ecological, economic and recreational resource within the New York metropolitan area. Comparison of the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) measured radiance and in situ reflectance measurement shows the effect of the solar source and atmosphere in the total upwelling spectral radiance measured by AVIRIS. Radiative transfer code, Tafkaa was applied to remove the effects of the atmosphere and to generate accurate reflectance (R(0)) from the AVIRIS radiance for retrieving water quality parameters (i.e., total chlorophyll). Chlorophyll estimation as index of phytoplankton abundance was optimized using AVIRIS band ratio at 675 nm and 702 nm resulting in a coefficient of determination of R 2 = 0.98.Use of the radiative transfer code in conjunction with bio optical model is the main tool for using ocean color remote sensing as an operational tool for monitoring of the key nearshore ecological communities of phytoplankton important in global change studies.

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A Three-Dimensional Simulation of the Hudson–Raritan Estuary. Part II: Comparison with Observation

Cited by 66 publications

References 0 publications

A one-way nested eddy resolving model of the Aegean and Levantine basins: implementation and climatological runs

A one-way nested eddy resolving model of the Aegean and Levantine basins: implementation and climatological runs

Utility of Field Spectroradiometer Data in Chlorophyll-α Estimation

Nearshore Water Quality Estimation Using Atmospherically Corrected AVIRIS Data

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