Results 1 to 10 of about 6,228 (152)
Analysis of Data-Derived SeaWinds Normalized Radar Cross-Section Noise
The normalized standard deviation (Kp) of the noise that affects scatterometer Normalized Radar Cross-Sections (σ0s) plays a key role in the ocean and more in particular coastal wind retrieval procedures and the a posteriori quality control.
Giuseppe Grieco +4 more
doaj +6 more sources
On reconciling ground-based with spaceborne normalized radar cross section measurements [PDF]
This study examines differences in the normalized radar cross section, derived from ground-based versus spaceborne radar data. A simple homogeneous half-space model, indicates that agreement between the two improves as 1) the distance from the scatterer is increased; and/or 2) the extinction coefficient increases.
K C Ježek, S Gogineni
exaly +5 more sources
Normalized radar cross section of the sea for backscatter: 1. Mean levels [PDF]
The normalized radar cross section of the sea for backscatter, σo, is investigated for incidence angles between 0° and 89° using data collected over more than two decades. The most recent measurements were made from several ships using a coherent, dual‐polarized, X band radar.
William Plant
exaly +2 more sources
A semiempirical model of the normalized radar cross section of the sea surface, 2. Radar modulation transfer function [PDF]
Multiscale composite models based on the Bragg theory are widely used to study the normalized radar cross section (NRCS) over the sea surface. However, these models are not able to correctly reproduce the NRCS in all configurations. In particular, even if they may provide consistent results for vertical transmit and receive (VV) polarization, they fail
Bertrand Chapron, Vladimir Kudryavtsev
exaly +3 more sources
Reconstruction of the Normalized Radar Cross Section Field From GNSS-R Delay-Doppler Map
An effective approach to reconstruct the normalized radar cross section (NRCS) image from Global Navigation Satellite System-Reflectometry (GNSS-R) Delay-Doppler Map (DDM) is proposed. It is physically based on the truncated singular value decomposition (TSVD), properly extended to the 2-D case (2-D TSVD).
Maurizio Migliaccio +1 more
exaly +3 more sources
In this study, sea surface wind speed was retrieved using the Global Precipitation Measurement (GPM) dual-frequency precipitation radar (DPR) Ka-band data. In order to establish the Ka-band model at low incidence angles, the dependence of the DPR Ka-band
Chong Jiang +4 more
doaj +1 more source
Importance of the sea surface curvature to interpret the normalized radar cross section [PDF]
Asymptotic models (small perturbation and small slope approximation at first‐order, Kirchhoff approximation or two‐scale model) used to predict the normalized radar cross section of the sea surface generally fail to reproduce in detail backscatter radar measurements. In particular, the predicted polarization ratio versus incidence and azimuth angles is
Mouche, Alexis A. +4 more
openaire +3 more sources
This paper presents the results of the first characterization of coincident Ku- and Ka-band ocean surface normalized radar cross section measurements at earth incidence angles 0°–18° using one year of wide swath Global Precipitation Measurement (GPM ...
Alamgir Hossan, William Linwood Jones
doaj +1 more source
Gale Wind Speed Retrieval Algorithm Using Ku-Band Radar Data Onboard GPM Satellite
An algorithm to retrieve the wind speed within a wide swath from the normalized radar cross section (NRCS) is developed for the data of Ku-band radar operating in scanning mode installed onboard the Global Precipitation Measurement (GPM) satellite.
Maria Panfilova, Vladimir Karaev
doaj +1 more source
Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite
The algorithm to retrieve wind speed in a wide swath from the normalized radar cross section (NRCS) was developed for the data of Dual Frequency Precipitation Radar (DPR) operating in scanning mode installed onboard a Global Precipitation Measurement ...
Maria Panfilova, Vladimir Karaev
doaj +1 more source

