Journal ArticleDOI
An ERS-1 synthetic aperture radar image of a tropical squall line compared with weather radar data
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TLDR
A radar image acquired by the C-band synthetic aperture radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing radar signatures of a strong tropical squall line ("Sumatra Squall") is compared with coincident and collocated weather radar data.Abstract:
A radar image acquired by the C-band synthetic aperture radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing radar signatures of a strong tropical squall line ("Sumatra Squall") is compared with coincident and collocated weather radar data. Squall line features such as the gust front, areas of updraft convergence, and rain areas are identified. Possible attenuation effects from the rain drops in the atmosphere under very heavy rain (rain rate >100 mm/h) is suggested. In addition, the possibility of extracting the associated geophysical parameters, i.e., rain rate and wind speed from SAR imagery is investigated. The rain rate is estimated from the attenuation signature in the SAR image. Comparison between the estimated rain rate and weather radar rain rate shows consistency. Wind speed associated with the squall line is estimated based on the CMOD4 wind scatterometer model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested.read more
Citations
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Journal ArticleDOI
Tropical Cyclone Morphology from Spaceborne Synthetic Aperture Radar
Xiaofeng Li,Jun A. Zhang,Xiaofeng Yang,William G. Pichel,Mark DeMaria,David G. Long,Ziwei Li +6 more
TL;DR: In this article, the authors used Radarsat-1 synthetic aperture radar (SAR) data and innovative mapping approaches to better understand the dynamics of tropical cyclone genesis, morphology, and movement.
Journal ArticleDOI
Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing
TL;DR: An overview of independent component analysis, an emerging signal processing technique based on neural networks, is presented, with the aim to provide an up-to-date survey of the theoretical streams in this discipline and of the current applications in the engineering area.
Journal ArticleDOI
Rain footprints on C-band synthetic aperture radar images of the ocean - Revisited
TL;DR: In this paper, the authors analyzed C-band radar signatures of rain on synthetic aperture radar images acquired by the European satellites Envisat and Sentinel-1A and the Canadian satellite Radarsat-2 and compared them with quasi-coincident and collocated weather radar images.
Journal ArticleDOI
On the Discrimination of Radar Signatures of Atmospheric Gravity Waves and Oceanic Internal Waves on Synthetic Aperture Radar Images of the Sea Surface
Werner Alpers,Weigen Huang +1 more
TL;DR: Criteria that help distinguish between AGWs and OIWs are presented, which are based solely on the shape and structure of the features visible on the SAR images, and there are cases where these criteria yield ambiguous results.
Journal ArticleDOI
Simultaneous Observations and Analysis of Severe Storms Using Polarimetric X-Band SAR and Ground-Based Weather Radar
Jason Fritz,V. Chandrasekar +1 more
TL;DR: Observations from dual-polarization TerraSAR-X acquisitions over central Florida surrounding severe storms in August 2008 are analyzed to highlight the complexity of meteorological research using SAR while revealing a potential use of the technology to investigate the storm structure.
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Journal ArticleDOI
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