On the Use of Doppler Shift for Sea Surface Wind Retrieval From SAR

Mouche, Alexis; Collard, Fabrice; Chapron, Bertrand; Dagestad, Knut‐Frode; Guitton, Gilles; Johannessen, Johnny A.; Kerbaol, V.; Hansen, Morten W.

doi:10.1109/tgrs.2011.2174998

Cited by 194 publications

(204 citation statements)

References 12 publications

(25 reference statements)

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“…The study on electromagnetic scattering from rough surface has been the subject of intensive investigation over the past decades for its application in land and ocean remote sensing [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. Normalized radar cross section (NRCS), frequency spectrum and polarimetric properties are generally used to describe scattering fields.…”

Section: Introductionmentioning

confidence: 99%

“…Among these parameters, NRCS and frequency spectrum reflect the intensity of the scattering field and the line-of-sight velocity of the scatterers, respectively. In the area of ocean remote sensing, NRCS and Doppler behaviors of sea echoes have been widely used to retrieve wind field [5], sea wave spectrum [6][7][8][9][10] and sea surface current [11][12][13][14]. It is well known that the actual sea surface can be represented by a sum of sine waves based on the linear theory [15].…”

Section: Introductionmentioning

confidence: 99%

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The Properties of the Electromagnetic Scattering From a Sinusoidal Water Wave

Wang¹,

Yu²,

Zhang³

et al. 2018

PIER C

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Abstract-Within the framework of the higher-order Kirchhoff approximation, the properties of the electromagnetic scattering from sinusoidal water waves are presented, and the theoretical formulas up to third-order for describing the scattering field and its spectrum are derived. It shows that not only the spectral peaks which correspond to phase velocity of the water wave but also other discrete harmonic peaks can be found from the theoretical spectrum model. And the Doppler shifts of the spectral peaks are all integral multiple of the sinusoidal wave's frequency. For the backscattering field from a sinusoidal wave, the higher-order resonant peaks would also be found at different scattering angles, and the values of these peaks decrease with the scattering angle. On the other hand, the comparisons with the MoM demonstrate that the contributions of the slope-dependent terms can be generally neglected if the amplitude of the sinusoidal wave is small. However, if the waves slope is larger, the impact of the second order scattering becomes obvious and cannot be omitted.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Properties of the Electromagnetic Scattering From a Sinusoidal Water Wave

Wang¹,

Yu²,

Zhang³

et al. 2018

PIER C

View full text Add to dashboard Cite

show abstract

“…There are, however, some limitations: only one component of the velocity is derived, the narrow swath limits the coverage, and the retrieved current speed may contain contributions other than the ocean current. Indeed, under a weak current regime the dominant contribution is the windinduced wave motion (Mouche et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Remote sensing of ocean surface currents: a review of what is being observed and what is being assimilated

Isern‐Fontanet

Ballabrera-Poy

Turiel

et al. 2017

Nonlin. Processes Geophys.

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Abstract. Ocean currents play a key role in Earth's climate -they impact almost any process taking place in the ocean and are of major importance for navigation and human activities at sea. Nevertheless, their observation and forecasting are still difficult. First, no observing system is able to provide direct measurements of global ocean currents on synoptic scales. Consequently, it has been necessary to use sea surface height and sea surface temperature measurements and refer to dynamical frameworks to derive the velocity field. Second, the assimilation of the velocity field into numerical models of ocean circulation is difficult mainly due to lack of data. Recent experiments that assimilate coastal-based radar data have shown that ocean currents will contribute to increasing the forecast skill of surface currents, but require application in multidata assimilation approaches to better identify the thermohaline structure of the ocean. In this paper we review the current knowledge in these fields and provide a global and systematic view of the technologies to retrieve ocean velocities in the upper ocean and the available approaches to assimilate this information into ocean models.

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“…The inversion methodology proposed here combines SAR NRCS with a priori wind from the European Centre for Medium-range Weather Forecasts (ECMWF) model, taking into account that both SAR observations and atmospheric models may contain errors [26,27].…”

Section: Gf-3 Sar Wind Retrieval Schemementioning

confidence: 99%

GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment

Wang¹,

Yang

Mouche

et al. 2017

Remote Sensing

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Gaofen-3 (GF-3) is the first Chinese civil C-band synthetic aperture radar (SAR) launched on 10 August 2016 by the China Academy of Space Technology (CAST), which operates in 12 imaging modes with a fine spatial resolution up to 1 m. As one of the primary users, the State Oceanic Administration (SOA) operationally processes GF-3 SAR Level-1 products into ocean surface wind vector and plans to officially release the near real-time SAR wind products in the near future. In this paper, the methodology of wind retrieval at C-band SAR is introduced and the first results of GF-3 SAR-derived winds are presented. In particular, the case of the coastal katabatic wind off the west coast of the U.S. captured by GF-3 is discussed. The preliminary accuracy assessment of wind speed and direction retrievals from GF-3 SAR is carried out against in situ measurements from National Data Buoy Center (NDBC) buoy measurements of National Oceanic and Atmospheric Administration (NOAA). Only the buoys located inside the GF-3 SAR wind cell (1 km) were considered as co-located in space, while the time interval between observations of SAR and buoy was limited to less the 30 min. These criteria yielded 56 co-locations during the period from January to April 2017, showing the Root Mean Square Error (RMSE) of 2.46 m/s and 22.22 • for wind speed and direction, respectively. Different performances due to geophysical model function (GMF) and Polarization Ratio (PR) are discussed. The preliminary results indicate that GF-3 wind retrievals are encouraging for operational implementation.

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On the Use of Doppler Shift for Sea Surface Wind Retrieval From SAR

Cited by 194 publications

References 12 publications

The Properties of the Electromagnetic Scattering From a Sinusoidal Water Wave

The Properties of the Electromagnetic Scattering From a Sinusoidal Water Wave

Remote sensing of ocean surface currents: a review of what is being observed and what is being assimilated

GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment

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