scholarly journals Integration between X-Band Radar and Buoy Sea State Monitoring

2016 ◽  
Author(s):  
Giovanni Ludeno ◽  
Ferdinando Reale ◽  
Francesco Raffa ◽  
Fabio Dentale ◽  
Francesco Soldovieri ◽  
...  
Keyword(s):  
Radar Data ◽  
Small Scale ◽  
State Monitoring ◽  
Sea State ◽  
Simultaneous Acquisition ◽  
X Band ◽  
Definite Improvement ◽  
Good Consistency ◽  
Monitoring Activity ◽  
Important Progress

Abstract. The paper presents the results of an integrated buoy and X-Band radar sea state monitoring activity carried out on the southern coast of Sicily. The work involved the integration of buoy and radar data, as well as the simultaneous acquisition of Significant Wave Height (SWH) values from two similar radar sets located at a slight distance from each other – a rare and fortunate circumstance which took place during two storms in the winter 2014–2015. Good consistency and repeatability was reached between the two radars and the reliability of X-Band radar as a wave monitoring system was confirmed by the comparison with the buoy wave meter. A further and important result of the work is the knowledge gained on the short spatial and temporal fluctuations of the sea state: while such Small Scale Storm Variations (SSSV) cannot be easily discriminated from electromagnetic effects and from algorithm artefacts, some important progress has been done towards the identification of this phenomenon. Integration of different sensors is the key to a definite improvement of sea state monitoring for most coastal applications.

Sea-State Monitoring Via X-Band Marine Radar Images Sequences: A New Approach for an Accurate Surface Currents Estimation

2009 ◽  
Author(s):  
Francesco Serafino ◽  
Claudio Lugni ◽  
Francesco Soldovieri
Keyword(s):  
Synthetic Data ◽  
Surface Current ◽  
Key Factors ◽  
State Monitoring ◽  
Sea State ◽  
Reconstruction Procedure ◽  
Factors Affecting ◽  
Radar Images ◽  
X Band ◽  
Marine Radar

This work deals with the sea state monitoring starting from marine radar images collected on a moving ship. For such a topic, one of the key factors affecting the reliability of the reconstruction procedure is the determination of the equivalent surface current that also accounts for the speed of the moving ship. Here, we propose a method able to evaluate also high values of the sea surface current. The reliability of the proposed procedure is shown by a numerical analysis with synthetic data. Finally, we present some preliminary results with measurements collected on a moving ship.

scholarly journals X-Band Radar for the Monitoring of Sea Waves and Currents: A Comparison between Medium and Short Radar Pulses

2017 ◽  
Author(s):  
Giovanni Ludeno ◽  
Francesco Raffa ◽  
Francesco Soldovieri ◽  
Francesco Serafino
Keyword(s):  
Surface Current ◽  
Parameters Estimation ◽  
Sea Waves ◽  
State Monitoring ◽  
Sea State ◽  
Experimental Campaign ◽  
X Band ◽  
Waves And Currents ◽  
Marine Radar ◽  
Good Agreement

Abstract. This letter presents the monitoring results of the sea waves and the surface currents obtained by analyzing data acquired by a X-band marine radar in two different operative conditions, namely the short and medium pulse modes. In particular, we investigated the feasibility to use a medium radar pulse for sea state monitoring by comparing the performance in both the radar modes. The comparison was carried out by means of an experimental campaign and we observed a good agreement for surface current and sea state parameters estimation.

scholarly journals Proof of Feasibility of the Sea State Monitoring from Data Collected in Medium Pulse Mode by a X-Band Wave Radar System

2018 ◽  
Vol 10 (3) ◽  
pp. 459 ◽  
Author(s):  
Giovanni Ludeno ◽  
Francesco Raffa ◽  
Francesco Soldovieri ◽  
Francesco Serafino
Keyword(s):  
Pulse Mode ◽  
Radar System ◽  
State Monitoring ◽  
Sea State ◽  
X Band ◽  
Wave Radar

Comparison of radar and raingauge measurements during heavy rainfall

2005 ◽  
Vol 51 (2) ◽  
pp. 195-201 ◽  
Author(s):  
T. Einfalt ◽  
M. Jessen ◽  
B. Mehlig
Keyword(s):  
Time Series ◽  
Heavy Rainfall ◽  
Radar Data ◽  
Spatial Extent ◽  
Small Scale ◽  
Rainfall Events ◽  
Radar Images ◽  
X Band ◽  
Raingauge Data ◽  
Quality Check

Five heavy small-scale rainfall events in North Rhine-Westphalia (Germany) were investigated with radar and raingauge data. Special attention was paid to quality check and adjustment of radar data. Attenuation effects could be observed on both, C-Band and on X-Band radar. Adjustment of radar data to raingauge values turned out to be very difficult in the vicinity of heavy local rain cells. For the five affected regions the precipitation was quantified in the form of areal time series and cumulated radar images. As further result of this project, the spatial extent of the precipitation fields was identified and compared with radar and raingauge data.

Integration between X-Band Radar and Buoy Sea State Monitoring

2018 ◽  
Vol 34 (6) ◽  
pp. 1358
Author(s):  
Ferdinando Reale ◽  
Giovanni Ludeno ◽  
Francesco Raffa
Keyword(s):  
State Monitoring ◽  
Sea State ◽  
X Band

REMOCEAN: A Flexible X-Band Radar System for Sea-State Monitoring and Surface Current Estimation

2012 ◽  
Vol 9 (5) ◽  
pp. 822-826 ◽  
Author(s):  
F. Serafino ◽  
C. Lugni ◽  
G. Ludeno ◽  
D. Arturi ◽  
M. Uttieri ◽  
...  
Keyword(s):  
Surface Current ◽  
Radar System ◽  
State Monitoring ◽  
Sea State ◽  
Current Estimation ◽  
X Band

scholarly journals Small-Scale Rainfall Variability Impacts Analyzed by Fully-Distributed Model Using C-Band and X-Band Radar Data

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1273 ◽  
Author(s):  
Igor Paz ◽  
Bernard Willinger ◽  
Auguste Gires ◽  
Bianca Alves de Souza ◽  
Laurent Monier ◽  
...  
Keyword(s):  
Data Quality ◽  
Rainfall Variability ◽  
Drainage System ◽  
Radar Data ◽  
Rainfall Data ◽  
Distributed Model ◽  
Small Scale ◽  
Distributed Models ◽  
X Band ◽  
Spatio Temporal

Recent studies have highlighted the need for high resolution rainfall measurements for better modelling of urban and peri-urban catchment responses. In this work, we used a fully-distributed model called “Multi-Hydro” to study small-scale rainfall variability and its hydrological impacts. The catchment modelled is a semi-urban area located in the southwest region of Paris, an area that has been previously partially validated. At this time, we make some changes to the model, henceforth using its drainage system globally, and we investigate the influence of small-scale rainfall variability by modelling three rainfall events with two different rainfall data inputs: the C-band radar data provided by Météo-France at a 1 km × 1 km × 5 min resolution, and the new X-band radar (recently installed at Ecole des Ponts, France) data at a resolution of 250 m × 250 m × 3.41 min, thereby presenting the gains of better resolution (with the help of Universal Multifractals). Finally, we compare the Multi-Hydro hydrological results with those obtained using an operational semi-distributed model called “Optim Sim” over the same area to revalidate Multi-Hydro modelling, and discuss the model’s limitations and the impacts of data quality and resolution, observing the difficulties associated with semi-distributed models when accounting the spatial variability of weather radar data. This work concludes that it may be useful in future to improve rainfall data acquisition, aiming for better spatio-temporal resolution (now achieved by the weather dual-polarized X-band radars) and data quality when considering small-scale rainfall variability, and to merge deterministic, fully-distributed and stochastic models into a hybrid model which would be capable of taking this small-scale rainfall variability into account.

scholarly journals Sea surface topography reconstruction from X-band radar images

2008 ◽  
Vol 19 ◽  
pp. 83-86 ◽  
Author(s):  
F. Serafino ◽  
C. Lugni ◽  
F. Soldovieri
Keyword(s):  
Sea Surface ◽  
State Monitoring ◽  
Sea State ◽  
Radar Images ◽  
Sea Surface Topography ◽  
X Band ◽  
Sea Current ◽  
Global Vision ◽  
Inversion Procedure

Abstract. The paper deals with the feasibility study of the sea state monitoring starting from X-band radar images. The exploitation of radar images allows to achieve a global vision of the sea state compared to the local vision given by the usual sensors as the buoys. The processing approach is based on the formulation of problem as an inverse one where starting from the electromagnetic field backscattered by the sea surface, the information about the sea state are retrieved. The reliability of the inversion procedure is shown by processing synthetic and experimental data where particular attention is focussed to the determination of the sea current and speed of the vessel.

The Multiple-Vortex Structure of the El Reno, Oklahoma, Tornado on 31 May 2013

2018 ◽  
Vol 146 (8) ◽  
pp. 2483-2502 ◽  
Author(s):  
Howard B. Bluestein ◽  
Kyle J. Thiem ◽  
Jeffrey C. Snyder ◽  
Jana B. Houser
Keyword(s):  
Doppler Radar ◽  
Radar Data ◽  
Rapid Scan ◽  
X Band ◽  
Close Range ◽  
Formation And Evolution ◽  
Using Data ◽  
Secondary Vortices ◽  
The Right ◽  
Gust Front

Abstract This study documents the formation and evolution of secondary vortices associated within a large, violent tornado in Oklahoma based on data from a close-range, mobile, polarimetric, rapid-scan, X-band Doppler radar. Secondary vortices were tracked relative to the parent circulation using data collected every 2 s. It was found that most long-lived vortices (those that could be tracked for ≥15 s) formed within the radius of maximum wind (RMW), mainly in the left-rear quadrant (with respect to parent tornado motion), passing around the center of the parent tornado and dissipating closer to the center in the right-forward and left-forward quadrants. Some secondary vortices persisted for at least 1 min. When a Burgers–Rott vortex is fit to the Doppler radar data, and the vortex is assumed to be axisymmetric, the secondary vortices propagated slowly against the mean azimuthal flow; if the vortex is not assumed to be axisymmetric as a result of a strong rear-flank gust front on one side of it, then the secondary vortices moved along approximately with the wind.

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