AAFE RADSCAT 13.9-GHz measurements and analysis: Wind-speed signature of the ocean

Schroeder, L. C.; Schaffner, Philip R.; Mitchell, J. L.; Jones, W. Linwood

doi:10.1109/joe.1985.1145123

Cited by 63 publications

(37 citation statements)

References 6 publications

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“…In the case of the GO limit, only the anisotropy of the PDF is important. Experimental data on the azimuthal dependence of the radar cross section (see, e.g., [11][12][13] are in qualitative agreement with the results presented in Figure 8. 16 We studied how the wind speed affects the azimuthal dependence of the radar cross section.…”

Section: Calculations Of the Radar Cross Sections In The Kirchhoff Apsupporting

confidence: 85%

Statistical Non-Gaussian Model of Sea Surface with Anisotropic Spectrum for Wave Scattering Theory. Part II

Tatarskiǐ¹,

Татарский²

1999

PIER

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Section: Calculations Of the Radar Cross Sections In The Kirchhoff Apsupporting

confidence: 85%

Statistical Non-Gaussian Model of Sea Surface with Anisotropic Spectrum for Wave Scattering Theory. Part II

Tatarskiǐ¹,

Татарский²

1999

PIER

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“…In the second case (wind corrugation only) we compared the predicted NRCS with the experimental results by Schroeder et al'7 obtained at 13.9 GHz In Fig. 2 we compare such experimental data, taken from the regression line reported by Schroeder et al 17, together with the curves (relative to nadir incidence) for two wavenumber spectra considered, namely the approximated Pierson-Moskowitz and the Apel spectra. The measurements have been carried out in two distinct experiments.…”

Section: Em Modelling and Validation Of Resultsmentioning

confidence: 98%

“…amio (17) where ci1 represents the uncertainty in the 'guess' value defined by Eq. (9), and is modeled through a Gamma pdf with unitary mean value and 0.5 standard deviation.…”

Section: Error Parameters and Simulation Resultsmentioning

confidence: 99%

<title>Model-based approach for rainfall rate retrieval over the sea surface through rain radar</title>

et al. 1997

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A model-based approach for rainfall rate retrieval over the sea surface through rain radar ABSTRACTVertical rainfall profile retrieval based on reflectivity data collected by spaceborne rain radars can be improved through the techniques that exploit an estimation of the sea surface Normalised Radar Cross Section (NRCS) as an additional information. However, errors that can currently be made in predicting the sea surface NRCS may significantly affect their performance. Therefore, in this paper we first address the problem to evaluate the NCRS of the sea surface perturbed by rain, when observed at nadir. For this purpose, the dominant effect of ring waves generated by rainfall is considered. The joint effect of wind is also considered. The proposed model is based on the Full Wave Model (FWM) theory. Some comparisons are made with an alternative, less flexible model based on the Integral Equation Model (JEM) theory, and partial comparisons are also made with experimental data, which authorize to consider the proposed model well grounded and exploitable for application. Then, we show that the model can be usefully exploited to improve rainfall rate vertical profile retrieval over the sea surface, in the case of nadir looking, single frequency radars.

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“…With the rapid development of radar technology, the details of scattering features of radar sea echoes can be presented by radar and related means, which promotes extensive investigation on the influences of these aforementioned marine environmental factors on sea echoes. Most of the related researches focus on studying the impact of wind speed and wind directions via measurements and numerical simulations [1][2][3][4][5][6][7][8][9]; however, it is still far from a clear understanding of the joint influence of water depth and wind fetch on the microwave scattering. Duncan et al [10] studied the fetch and wind speed dependence of Doppler spectra of backscattered echoes in wave tanks and found some uncontrolled factors other than fetch and wind speed would exert great influence on the Doppler spectral features.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Microwave Polarimetric Scattering From Two-Dimensional Wind Fetch- And Water Depth-Limited Nearshore Sea Surfaces

Nie¹,

Zhang²,

Li³

2014

PIER

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Abstract-The microwave polarimetric scattering from two-dimensional (2-D) wind fetch-and water depth-limited nearshore sea surface is investigated by using the second-order small-slope approximation (SSA-II). The sea waves are simulated by taking into account the influences of fetch and depth. Based on this, the joint influence of fetch and depth on the normalized radar cross section (NRCS) of sea surfaces for both co-polarizations and cross-polarization in different wind directions is mainly studied. Monostatic and bistatic numerical results both indicate that in the marine environment of small depth and large fetch, the nonlinear interactions among waves become more intense, which has a greater impact on NRCSs for co-polarizations than their cross-polarized counterparts. Comparison of the results for different wind directions also reflects that the backscattered echoes along wind direction have much greater strength, regardless of the magnitude of wind fetch and water depth.

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AAFE RADSCAT 13.9-GHz measurements and analysis: Wind-speed signature of the ocean

Cited by 63 publications

References 6 publications

Statistical Non-Gaussian Model of Sea Surface with Anisotropic Spectrum for Wave Scattering Theory. Part II

Statistical Non-Gaussian Model of Sea Surface with Anisotropic Spectrum for Wave Scattering Theory. Part II

<title>Model-based approach for rainfall rate retrieval over the sea surface through rain radar</title>

Investigation on Microwave Polarimetric Scattering From Two-Dimensional Wind Fetch- And Water Depth-Limited Nearshore Sea Surfaces

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