Comparison between VHF radar observations and data from drifter clusters in the Gulf of La Spezia (Mediterranean Sea)

Molcard, Anne; Poulain, Pierre‐Marie; Forget, Philippe; Griffa, Annalisa; Barbin, Yves; Gaggelli, Joel; Maistre, J. C. de; Rixen, M.

doi:10.1016/j.jmarsys.2009.01.012

Cited by 63 publications

(59 citation statements)

References 34 publications

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“…This can explain the significant scatter found in the literature concerning point to point comparison between HFR and other in situ measurements. When HFR data are compared with surface drifter clusters or ADCPs whose uppermost bins are not deeper than 5 m, RMSDs typical values range between 3 and 12 cm.s −1 (e.g., Ohlmann et al, 2007;Molcard et al, 2009;Liu et al, 2010;Kalampokis et al, 2016). Each row corresponds to one of the ITU frequency bands allocated for oceanographic radar with the lower and upper band limits in frequency.…”

Section: Basic Principles Of Hfr Operation and Data Specificationsmentioning

confidence: 99%

“…In Europe, the number of systems is growing with over 50 HFRs currently deployed and a number in the planning stage. Nowadays, these systems are integrated in many European coastal observatories with proven potential for monitoring (e.g., Wyatt et al, 2006;Molcard et al, 2009;Berta et al, 2014b) and even providing short-term prediction of coastal currents (e.g., Orfila et al, 2015;Solabarrieta et al, 2016;Vilibić et al, 2016), and inputs for data assimilation and the validation and calibration of numerical ocean forecasting models, especially near the coast (e.g., Barth et al, 2008Barth et al, , 2011Marmain et al, 2014;Stanev et al, 2015;Iermano et al, 2016). The growing number of HFRs, the optimization of HFR operation against technical hitches and the need for complex data processing and analysis, highlight the urgent requirement to increase the coordination in the HFR community.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

et al. 2017

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High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. HFRs have become invaluable tools in the field of operational oceanography for measuring surface currents, waves and winds, with direct applications in different sectors and an unprecedented potential for the integrated management of the coastal zone. In Europe, the number of HFR networks has been showing a significant growth over the past 10 years, with over 50 HFRs currently deployed and a number in the planning stage. There is also a growing literature concerning the use of this technology in research and operational oceanography. A big effort is made in Europe toward a coordinated development of coastal HFR technology and its products within the framework of different European and international initiatives. One recent initiative has been to make an up-to-date inventory of the existing HFR operational systems in Europe, describing the characteristics of the systems, their operational products and applications. This paper offers a comprehensive review on the present status of European HFR network, and discusses the next steps toward the integration of HFR platforms as operational components of the European Ocean Observing System, designed to align and integrate Europe's ocean observing capacity for a truly integrated end-to-end observing system for the European coasts.

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Section: Basic Principles Of Hfr Operation and Data Specificationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

et al. 2017

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“…As stated in , HF-radar measurements are affected by intrinsic uncertainties (like radio wave interferences, antenna pattern distortions or environmental noise), and reliability of HFradar data has been previously tested in several validation studies including comparisons of HF-radar-derived surface currents with moored ADCP's, point-wise current meters and Lagrangian drifters (Ohlmann et al, 2007;Molcard et al, 2009;Shaden et al, 2009).…”

Section: G Sotillo Et Al: the Medess-gib Databasementioning

confidence: 99%

The MEDESS-GIB database: tracking the Atlantic water inflow

Sotillo

Garcı́a-Ladona²,

Orfila

et al. 2016

Earth Syst. Sci. Data

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Abstract. On 9 September 2014, an intensive drifter deployment was carried out in the Strait of Gibraltar. In the frame of the MEDESS-4MS Project (EU MED Program), the MEDESS-GIB experiment consisted of the deployment of 35 satellite tracked drifters, mostly of CODE-type, equipped with temperature sensor sampling at a rate of 30 min. Drifters were distributed along and on both sides of the Strait of Gibraltar. The MEDESS-GIB deployment plan was designed as to ensure quasi-synoptic spatial coverage. To this end, four boats covering an area of about 680 NM 2 in 6 h were coordinated. As far as these authors know, this experiment is the most important exercise in the area in terms of number of drifters released. Collected satellite-tracked data along drifter trajectories have been quality controlled and processed to build the presented MEDESS-GIB database. This paper reports the MEDESS-GIB data set that comprises drifter trajectories, derived surface currents and in situ SST measurements collected along the buoys tracks. This series of data is available through the PANGAEA (Data Publisher for Earth and Environmental Science) repository, with the following

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“…The differences are quantified in terms of bias error and RMS error, where bias error b is b= < udiff > and RMS error is where u diff = u radar -u drifter averaged over time, the < > symbols denote averaging, u radar the radar-derived radial velocity and u drifter the radial component of the velocity obtained from the drifter track (Molcard et al, 2009). The (bii) comparison provides an overall evaluation of the final HF-radar derived velocity fields.…”

Section: Performance Evaluationmentioning

confidence: 99%

HF Radar observations of the Dardanelles outflow current in North Eastern Aegean using validated WERA HF radar data

Kokkini¹,

Potiris²,

Kalampokis³

et al. 2014

Medit. Mar. Sci.

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A two-site WERA High Frequency radar (HF radar) system, named "Dardanos", was installed in November 2009 on the eastern coast of Lemnos Island, North Aegean Sea, to monitor the surface inflow of Black Sea waters exiting from the Dardanelles Strait, as well as to constitute a coastal management tool for incidents of oil-pollution or search-and-rescue operations. Strong interference from external radio signals has been a source of noise deteriorating the quality of the backscattered signal, thus significantly reducing the HF radar's effective operating range. In order to ameliorate this problem, further quality-control and data gap interpolating procedures have been developed and applied, to be used in addition to the procedures incorporated and used by the manufacturer's signal processing software. The second-level processing involves traditional despiking in the temporal domain, preceding Empirical Orthogonal Function analysis. The latter is used not only to filter high-frequency noise but also to fill data gaps in time and space. The data reconstruction procedure has been assessed via comparison of (a) HF radial versus CODE-type drifter radial velocities as well as (b) HF-derived virtual drifter tracks versus actual drifter tracks. The main circulation features and their variability, as revealed by the reconstructed fields, are presented.

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Comparison between VHF radar observations and data from drifter clusters in the Gulf of La Spezia (Mediterranean Sea)

Cited by 63 publications

References 34 publications

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

The MEDESS-GIB database: tracking the Atlantic water inflow

HF Radar observations of the Dardanelles outflow current in North Eastern Aegean using validated WERA HF radar data

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