Synthesis of mesoscale numerical weather prediction and empirical site-specific radar clutter models

LeFurjah, G.; Marshall, Robert; Casey, T.S.; Haack, Tracy; Boyer, D. de Forest

doi:10.1049/iet-rsn.2009.0145

Cited by 7 publications

(11 citation statements)

References 2 publications

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“…There currently exist capabilities to extract 48 h radar forecast based on output from NWP [ Marshall et al , 2008]. These forecasts are used now to predict the radar performance [ LeFurjah et al , 2010]. An improvement of RFC then would be using these forecasts [ Haack et al , 2010] as prior into the RFC inversion.…”

Section: Discussionmentioning

confidence: 99%

Refractivity estimation from sea clutter: An invited review

et al. 2011

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[1] Non-standard radio wave propagation in the atmosphere is caused by anomalous changes of the atmospheric refractivity index. In recent years, refractivity from clutter (RFC) has been an active field of research to complement traditional ways of measuring the refractivity profile in maritime environments which rely on direct sensing of the environmental parameters. Higher temporal and spatial resolution of the refractivity profile, together with a lower cost and convenience of operations have been the promising factors that brought RFC under consideration. Presented is an overview of the basic concepts, research and achievements in the field of RFC. Topics that require more attention in future studies also are discussed.

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Section: Discussionmentioning

confidence: 99%

Refractivity estimation from sea clutter: An invited review

et al. 2011

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“…For demonstration purposes, Fig. 6 shows a plot of a two-dimensional cut of the objective function (9), with F obs = F (γ) for a fixed refractivity profile parameterizationγ = (0.118, 5,40,30).…”

Section: A Analysis Of the Inverse Problem Propertiesmentioning

confidence: 99%

“…A few methods link refractive index profiles and weather conditions [4] to estimate the MABL characteristics. Such estimates of meteorological conditions may come from numerical weather predictions [5], [6]. Although these numerical weather predictions are successful for long-term, general characterization, their accuracy is unsatisfactory for characterizing ducting in a local sense and in real time.…”

Section: Introductionmentioning

confidence: 99%

A Subspace Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer

Gilles

Earls

Bindel

2019

IEEE Trans. Geosci. Remote Sensing

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Inferring electromagnetic propagation characteristics within the marine atmospheric boundary layer (MABL) from data in real time is crucial for modern maritime navigation and communications. The propagation of electromagnetic waves is well modeled by a partial differential equation (PDE): a Helmholtz equation. A natural way to solve the MABL characterization inverse problem is to minimize what is observed and what is predicted by the PDE. However, this optimization is difficult because it has many local minima. We propose an alternative solution that relies on the properties of the PDE but does not involve solving the full forward model. Ducted environments result in an EM field which can be decomposed into a few propagating, trapped modes. These modes are a subset of the solutions to a Sturm-Liouville eigenvalue problem. We design a new objective function that measures the distance from the observations to a subspace spanned by these eigenvectors. The resulting optimization problem is much easier than the one that arises in the standard approach, and we show how to solve the associated nonlinear eigenvalue problem efficiently, leading to a real-time method.

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“…We write (2) Under the assumption , the first distance is expressed as [24] (3) with (4) The distance is given by (5) with . Then, is given by…”

Section: A Trilinear Duct With Infinite Thicknessmentioning

confidence: 99%

“…These statistics can be used for the forecast of occurrence and type of atmospheric ducts [4]. The atmospheric conditions can also be inferred with the low elevation GPS satellites [5].…”

Section: Introductionmentioning

confidence: 99%

Parameter-Based Rules for the Definition of Detectable Ducts for an RFC System

Douvenot¹,

Fabbro²,

Elis³

2014

IEEE Trans. Antennas Propagat.

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Refractivity from clutter (RFC) consists in inferring the lower atmospheric conditions from the clutter measured by a coastal or shipborne radar. A data processing tool based on an inverse or optimisation method is required. However, RFC cannot be used to retrieve all the atmospheric conditions. For some refractivity conditions, the modification of the electromagnetic wave behavior in the low troposphere is not detectable on the radar clutter return. In this paper, analytic conditions are given for trilinear atmospheric ducts to be retrievable by an RFC system. The study is based on a ray approach, and the results are validated through numerical simulations. It is finally extended to any piecewise linear profile. In the context of decision analysis, an RFC system user should know which ducts can be detected.Index Terms-Atmospheric duct, inverse problem, ray tracing, refractivity from clutter (RFC).

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Synthesis of mesoscale numerical weather prediction and empirical site-specific radar clutter models

Cited by 7 publications

References 2 publications

Refractivity estimation from sea clutter: An invited review

Refractivity estimation from sea clutter: An invited review

A Subspace Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer

Parameter-Based Rules for the Definition of Detectable Ducts for an RFC System

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