Real-Time Marine Radar Observations of Nearshore Waves and Flow Structures from Shore-based Towers

2019 ◽  
Author(s):  
Merrick C. Haller ◽  
David A. Honegger ◽  
Randall Pittman ◽  
Annika O'Dea ◽  
Alexandra Simpson
Keyword(s):  
Real Time ◽  
Flow Structures ◽  
Radar Observations ◽  
Nearshore Waves ◽  
Marine Radar

Real-time estimation of ocean wave fields from marine radar data

2015 ◽  
Author(s):  
David R. Lyzenga ◽  
Okey G. Nwogu ◽  
Robert F. Beck ◽  
Andrew O'Brien ◽  
Joel Johnson ◽  
...  
Keyword(s):  
Real Time ◽  
Time Estimation ◽  
Radar Data ◽  
Ocean Wave ◽  
Wave Fields ◽  
Real Time Estimation ◽  
Marine Radar

scholarly journals Assimilation of Wave Imaging Radar Observations for Real-time Wave-by-Wave Forecasting

2017 ◽  
Author(s):  
Alexandra Simpson ◽  
Merrick Haller ◽  
David Walker ◽  
Pat Lynett
Keyword(s):  
Real Time ◽  
Radar Observations ◽  
Imaging Radar ◽  
Wave Imaging ◽  
Wave Forecasting

Measurement of Viscoelastic Fluid Flow in the Curved Microchannel Using Digital Holographic Microscope and Polarized Camera

2016 ◽  
Vol 138 (9) ◽  
Author(s):  
Xiao-Bin Li ◽  
Masamichi Oishi ◽  
Tsukasa Matsuo ◽  
Marie Oshima ◽  
Feng-Chen Li
Keyword(s):  
Real Time ◽  
Viscoelastic Fluid ◽  
High Speed ◽  
Particle Tracking Velocimetry ◽  
Three Dimensional ◽  
Flow Structures ◽  
Tracer Particles ◽  
Microfluidic Flow ◽  
First Time ◽  
Measurement Approach

This paper aims to develop a three-dimensional (3D) measurement approach to investigate the flow structures of viscoelastic fluid in the curved microchannel by using digital holographic microscope (DHM). The measurement system uses off-axis holographic/interferometric optical setup for the moving target, and the real-time three-dimensional-three-components (3D3C) particle tracking velocimetry (PTV) can be achieved based on the analysis of phase information of holograms. To diagnose the irregular flow inside the microchannel, the 3D temporal positions of tracer particles in the volume of 282 μm × 282 μm × 60 μm have been detected and velocity field was calculated based on the PTV algorithm. Moreover, to explain the flow field inside the curved microchannel, for the first time the polarized high-speed camera was utilized to identify the strong elongation in the viscoelastic fluid. The DHM is proven to be successful for the measurements of microfluidic flow, especially for the truly real-time 3D motions.

scholarly journals On the Reliability of Surface Current Measurements by X-band Marine Radar

2019 ◽  
Vol 11 (9) ◽  
pp. 1030 ◽  
Author(s):  
Hessner ◽  
El Naggar ◽  
von Appen ◽  
Strass
Keyword(s):  
Real Time ◽  
Surface Current ◽  
Acoustic Doppler Current Profiler ◽  
Weather Conditions ◽  
Operational Reliability ◽  
Current Data ◽  
X Band ◽  
Current Profiler ◽  
Marine Radar ◽  
Commercial Off The Shelf

Real-time quality-controlled surface current data derived from X-Band marine radar (MR) measurements were evaluated to estimate their operational reliability. The presented data were acquired by the standard commercial off-the-shelf MR-based sigma s6 WaMoS® II (WaMoS® II) deployed onboard the German Research vessel Polarstern. The measurement reliability is specified by an IQ value obtained by the WaMoS® II real-time quality control (rtQC). Data which pass the rtQC without objection are assumed to be reliable. For these data sets accuracy and correlation with corresponding vessel-mounted acoustic Doppler current profiler (ADCP) measurements are determined. To reduce potential misinterpretation due to short-term oceanic variability/turbulences, the evaluation of the WaMoS® II accuracy was carried out based on sliding means over 20 min of the reliable data only. The associated standard deviation σWaMoS = 0.02 m/s of the mean WaMoS® II measurements reflect a high precision of the measurement and the successful rtQC during different wave, current and weather conditions. The direct comparison of 7272 WaMoS® II/ADCP northward and eastward velocity data pairs yield a correlation of r ≥0.94, with bias∆ ≤0.06 m/s and σS=0.05 m/s. This confirms that the MR-based surface current measurements are accurate and reliable.

Application of marine radar for real-time ocean wave monitoring

2006 ◽  
pp. 1051-1059
Author(s):  
Hironori Susaki ◽  
Yasunori Iwasaki ◽  
Teiji Kojima ◽  
Yasushi Hiraoka ◽  
Ryusuke Hosoda
Keyword(s):  
Real Time ◽  
Ocean Wave ◽  
Marine Radar

A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings

2013 ◽  
Vol 28 (3) ◽  
pp. 727-745 ◽  
Author(s):  
Jidong Gao ◽  
Travis M. Smith ◽  
David J. Stensrud ◽  
Chenghao Fu ◽  
Kristin Calhoun ◽  
...  
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Development Stage ◽  
Horizontal Resolution ◽  
Severe Weather ◽  
Radar Observations ◽  
Weather Events ◽  
Weather Situation ◽  
Analysis System ◽  
Hazardous Weather

Abstract A real-time, weather-adaptive three-dimensional variational data assimilation (3DVAR) system has been adapted for the NOAA Warn-on-Forecast (WoF) project to incorporate all available radar observations within a moveable analysis domain. The key features of the system include 1) incorporating radar observations from multiple Weather Surveillance Radars-1988 Doppler (WSR-88Ds) with NCEP forecast products as a background state, 2) the ability to automatically detect and analyze severe local hazardous weather events at 1-km horizontal resolution every 5 min in real time based on the current weather situation, and 3) the identification of strong circulation patterns embedded in thunderstorms. Although still in the early development stage, the system performed very well within the NOAA's Hazardous Weather Testbed (HWT) Experimental Warning Program during preliminary testing in spring 2010 when many severe weather events were successfully detected and analyzed. This study represents a first step in the assessment of this type of 3DVAR analysis for use in severe weather warnings. The eventual goal of this real-time 3DVAR system is to help meteorologists better track severe weather events and eventually provide better warning information to the public, ultimately saving lives and reducing property damage.

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