Determination of Nearshore Wave Conditions and Bathymetry from X-Band Radar Systems

2004 ◽  
Author(s):  
Okey G. Nwogu ◽  
Paul S. Bell
Keyword(s):  
Radar Systems ◽  
X Band ◽  
Wave Conditions

Determination of the Fe3+/$${\varvec{\Sigma}}$$Fe Ratio in Synthetic Lead Silicate Slags Using X-Band CW-EPR

2021 ◽  
Author(s):  
Vincent Cnockaert ◽  
Inge Bellemans ◽  
Tijl Crivits ◽  
Henk Vrielinck ◽  
Bart Blanpain ◽  
...  
Keyword(s):  
Lead Silicate ◽  
X Band

scholarly journals Observing UT1-UTC with VGOS

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Rüdiger Haas ◽  
Eskil Varenius ◽  
Saho Matsumoto ◽  
Matthias Schartner
Keyword(s):  
Standard Deviation ◽  
Reference Frame ◽  
Earth Rotation ◽  
Space Observatory ◽  
International Earth Rotation ◽  
Onsala Space Observatory ◽  
X Band ◽  
First Results

AbstractWe present first results for the determination of UT1-UTC using the VLBI Global Observing System (VGOS). During December 2019 through February 2020, a series of 1 h long observing sessions were performed using the VGOS stations at Ishioka in Japan and the Onsala twin telescopes in Sweden. These VGOS-B sessions were observed simultaneously to standard legacy S/X-band Intensive sessions. The VGOS-B data were correlated, post-correlation processed, and analysed at the Onsala Space Observatory. The derived UT1-UTC results were compared to corresponding results from standard legacy S/X-band Intensive sessions (INT1/INT2), as well as to the final values of the International Earth Rotation and Reference Frame Service (IERS), provided in IERS Bulletin B. The VGOS-B series achieves 3–4 times lower formal uncertainties for the UT1-UTC results than standard legacy S/X-band INT series. The RMS agreement w.r.t. to IERS Bulletin B is slightly better for the VGOS-B results than for the simultaneously observed legacy S/X-band INT1 results, and the VGOS-B results have a small bias only with the smallest remaining standard deviation.

Research on X-Band Weather Radar Network Based on Sensor Grid

2012 ◽  
Vol 468-471 ◽  
pp. 1274-1277
Author(s):  
Chen Li
Keyword(s):  
Weather Radar ◽  
Key Technology ◽  
Radar Systems ◽  
Radar Network ◽  
Additional Equipment ◽  
X Band ◽  
Architectural Framework ◽  
Information Advantage ◽  
New Generation ◽  
Network Advantage

Monitoring of precipitation using X-band weather radar systems is becoming popular. X-band weather radar network, as an additional equipment of China new generation weather radar, primarily used to measure weather echo within 3km above the ground and has a high prospect. The network, based on sensor grid, is greater information advantage and network advantage. This paper describes the design, the key technology and implementation of an architectural framework of the weather radar network based on sensor grid. The results show that the network works robustly in real time.

Class-AB and class-J 22 dBm SiGe HBT PAs for X-band radar systems

2017 ◽  
Author(s):  
P. Scaramuzza ◽  
C. Rubino ◽  
M. Tiebout ◽  
M. Caruso ◽  
M. Ortner ◽  
...  
Keyword(s):  
Class Ab ◽  
Sige Hbt ◽  
Radar Systems ◽  
X Band

Prediction of Green Water Events on FPSO Vessels

2003 ◽  
Author(s):  
Alexander Fyfe ◽  
Edward Ballard
Keyword(s):  
Probability Distributions ◽  
Green Water ◽  
Design Stage ◽  
Wave Crest ◽  
Peak Period ◽  
Wave Conditions ◽  
Motion Characteristics ◽  
Central North Sea

Most floating vessels experience some sea states, not necessarily extreme storms, which cause large volumes of green water to flow across the deck. Due to the location of safety critical equipment on the deck of FPSOs, the determination of the likely occurrences and the magnitudes of such events are critical to safe design and operation. A method for the determination of green water heights on the deck of an FPSO has been presented in references 1–5. This paper examines the long-term distributions of heights implied by these references and the identification of sea states in which extreme events are likely to occur. The method is based upon the long term distribution of sea states at the intended location, combined with the motion characteristics of the vessel. Freeboard exceedance at the bow and at a point along the side is considered for two typical FPSO configurations. The methodology presented is widely applicable to many locations but wave conditions typical of the Central North Sea are used by way of illustration. The results presented include long term probability distributions of green water height on deck at locations of interest. Relative contributions of each combination of significant wave height and peak period to the probability of the largest single event in a defined return period are determined and discussed. It is shown that the wave conditions most likely to give rise to the most severe green water events are seldom those characterized by the largest wave crest heights. Instead, there exists a complex dependence on characteristic periods associated with vessel motions and on the long-term occurrences of particular sea states. The ability to predict conditions in which the largest green water events are most likely to occur offers the possibility of providing improved operational guidelines for FPSOs, allowing action to be taken to avoid unfavourable loading conditions and/or vessel headings in certain sea conditions. However, it is also shown that it may be difficult to identify some severe green water sea states from normally available forecast data and hence it is important that appropriate provision is made at the design stage.

Comparison of measured dominant scatterer identification of aircraft with multiple x-band radar systems

2001 ◽  
Author(s):  
Bill Ballard ◽  
Carl Darron ◽  
Lamar Gostin ◽  
Brian Hudson ◽  
Jeff Kemp ◽  
...  
Keyword(s):  
Radar Systems ◽  
X Band

scholarly journals DETERMINATION OF WIND STRESS (DRAG) COEFFICIENT FOR COASTAL WATERS UNDER VARIABLE METEOROLOGICAL AND OCEANOGRAPHIC CONDITIONS

1986 ◽  
Vol 1 (20) ◽  
pp. 22
Author(s):  
S.A. Hsu
Keyword(s):  
Drag Coefficient ◽  
Wind Stress ◽  
Coastal Waters ◽  
Parametric Model ◽  
Interaction Studies ◽  
Water Surfaces ◽  
Wave Conditions ◽  
Variable Wind ◽  
Oceanographic Conditions

On the basis of a parametric model of wind stress (drag) coefficient over water surfaces and related experiments, objective procedures to obtain this coefficient under variable wind and wave conditions are outlined and recommended for oceanographic applications and air-sea interaction studies. Methods for both fully and non-fully developed sea conditions are given.

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