Ocean surface current radar (OSCR) vector measurements on the inner continental shelf

Hammond, Thomas M.; Pattiaratchi, Charitha; Eccles, D.; Osborne, Martin J.; Nash, LA; Collins, Michael B.

doi:10.1016/0278-4343(87)90108-7

Cited by 35 publications

(15 citation statements)

References 13 publications

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“…According to the resonant Bragg scattering theory, if the transmitted radar signal wavelength is twice the wavelength of the reflecting sea surface then the backscattered signal spectrum will show two well-defined energy peaks at frequencies that can be determined resolving the deepwater phase speed relation for the Bragg resonant surface waves (Hammond et al 1987). According to the resonant Bragg scattering theory, if the transmitted radar signal wavelength is twice the wavelength of the reflecting sea surface then the backscattered signal spectrum will show two well-defined energy peaks at frequencies that can be determined resolving the deepwater phase speed relation for the Bragg resonant surface waves (Hammond et al 1987).…”

Section: General Principles Of Hfr Functioningmentioning

confidence: 99%

Dynamics and sea state in the Gulf of Naples: potential use of high-frequency radar data in an operational oceanographic context

Falco

Buonocore

Cianelli

et al. 2016

Journal of Operational Oceanography

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High-frequency coastal radars (HFRs) have proved to be excellent tools for monitoring coastal circulation, providing synoptic, high spatial and temporal resolution surface current data in real time. They may also give detailed information on the surface wave field of coastal areas. An HFR has been operating in the Gulf of Naples (south-eastern Tyrrhenian Sea) since 2004. In this paper we show the results of their utilisation in the study of the Gulf dynamics and sea state, with a focus on potential applications in the context of operational oceanography.

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Section: General Principles Of Hfr Functioningmentioning

confidence: 99%

Dynamics and sea state in the Gulf of Naples: potential use of high-frequency radar data in an operational oceanographic context

Falco

Buonocore

Cianelli

et al. 2016

Journal of Operational Oceanography

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“…Beam-forming radars electronically point linear arrays of receive antennas to determine bearing over the sea surface. Examples include the Ocean Surface Current Radar (OSCR; Hammond et al 1987) and the Wellen radar (WERA; Gurgel et al 1999). Direction-finding radars rely on directional properties of antenna elements to determine bearing.…”

Section: Introductionmentioning

confidence: 99%

Interpretation of Coastal HF Radar–Derived Surface Currents with High-Resolution Drifter Data

Ohlmann

White

Washburn

et al. 2007

Journal of Atmospheric and Oceanic Technology

118

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Dense arrays of surface drifters are used to quantify the flow field on time and space scales over which high-frequency (HF) radar observations are measured. Up to 13 drifters were repetitively deployed off the Santa Barbara and San Diego coasts on 7 days during 18 months. Each day a regularly spaced grid overlaid on a 1-km 2 (San Diego) or 4-km 2 (Santa Barbara) square, located where HF radar radial data are nearly orthogonal, was seeded with drifters. As drifters moved from the square, they were retrieved and replaced to maintain a spatially uniform distribution of observations within the sampling area during the day. This sampling scheme resulted in up to 56 velocity observations distributed over the time (1 h) and space (1 and 4 km 2 ) scales implicit in typical surface current maps from HF radar. Root-mean-square (RMS) differences between HF radar radial velocities obtained using measured antenna patterns, and average drifter velocities, are mostly 3-5 cm s Ϫ1 . Smaller RMS differences compared with past validation studies that employ current meters are due to drifter resolution of subgrid-scale velocity variance included in time and space average HF radar fields. Roughly 5 cm s Ϫ1 can be attributed to sampling on disparate time and space scales. Despite generally good agreement, differences can change dramatically with time. In one instance, the difference increases from near zero to more than 20 cm s Ϫ1 within 2 h. The RMS difference and bias (mean absolute difference) for that day exceed 7 and 12 cm s Ϫ1 , respectively.

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“…Traditional in situ instruments provide ample temporal but poor spatial coverage. Recent developments, such as the Ocean Surface Current Radar, can provide this same temporal coverage combined with synoptic spatial coverage, but only at a spatial resolution of typically one square kilometre (Hammond et al 1987). Although airborne remote sensing cannot provide the temporal coverage required by end-users, it is able to provide spatially comprehensive coverage at a much higher spatial resolution than ground-based instruments.…”

Section: Introductionmentioning

confidence: 95%

Estimation of velocity fields at the estuary-coastal interface through statistical analysis of successive airborne remotely sensed images

Hedger

Malthus

Folkard

2001

International Journal of Remote Sensing

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The study of surface water velocity elds through in situ sampling is intrinsically diYcult because they are highly variable in time and space. With airborne remote sensing, however, it is possible to determine changes in velocity elds because spatially and temporally comprehensive data may be obtained. This letter shows how changes in the statistical properties of successive remotely sensed images may be used to estimate velocity vectors associated with chlorophyll-a and sea surface temperature (SST). The study area is Kirkcudbright Bay, a small estuary in south-west Scotland. Multi-temporal imagery of the study area were acquired by the NERC Daedalus ADDS-1268 Airborne Thematic Mapper (ATM) and processed to show chlorophyll and thermal indices as substitutes for chlorophyll-a and SST. Velocity elds were estimated by the Maximum Cross Correlation technique. Complex patterns were found, con rming that the comprehensive coverage provided by airborne remote sensing is required for their analysis. The chlorophyll-a velocity eld diVered from the SST velocity eld, suggesting that these elds are relevant to the water quality variable in question, and not necessarily the water body itself.

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Ocean surface current radar (OSCR) vector measurements on the inner continental shelf

Cited by 35 publications

References 13 publications

Dynamics and sea state in the Gulf of Naples: potential use of high-frequency radar data in an operational oceanographic context

Dynamics and sea state in the Gulf of Naples: potential use of high-frequency radar data in an operational oceanographic context

Interpretation of Coastal HF Radar–Derived Surface Currents with High-Resolution Drifter Data

Estimation of velocity fields at the estuary-coastal interface through statistical analysis of successive airborne remotely sensed images

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