The Impact of New Multi-platform Observing Systems in Science, Technology Development and Response to Society Needs; from Small to Large Scales…

Tintoré, Joaquín; Casas, Benjamín; Heslop, Emma; Vizoso, Guillermo; Pascual, Ananda; Orfila, Alejandro; Ruiz, Simón; Renault, Lionel; Juza, Mélanie; Balaguer, Pau; Gómez-Pujol, Lluı́s; Álvarez-Ellacuría, Amaya; Gómara, Sonia; Sebastián, Kristian; Lora, Sebastián; Beltrán, Joan Pau; March, David; Escudier, Romain; Martínez-Ledesma, Miguel; Torner, Marc; Cusí, Simó; Roque, David; Lizarán, Irene; Castilla, Carlos; Cañellas, Tomeu; Lana, Arancha; Conti, Daniel; Sayol, Juan Manuel; Mason, Evan; Barceló-Llull, Bàrbara; Alemany, Francisco; Álvarez-Berastegui, Diego; Reglero, Patricia; Massutı́, Enric; Vélez‐Belchí, P.; Ruiz, Javier; Oğuz, Temel; Gómez, Marta I.; Álvarez, Enrique; Ansorena, Luís; Manríquez, Mario

doi:10.1007/978-3-642-53862-9_44

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…One of the challenges of coastal ocean observing systems in the next decades is the integration of new and conventional technologies to monitor the variability at small scales and through integration into multiplatform observing and forecasting systems (Tintoré et al, 2013). The establishment of coastal ocean observing systems is being implemented as an important component of marine strategy.…”

Section: Discussionmentioning

confidence: 99%

Model-Observations Synergy in the Coastal Ocean

et al. 2019

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Integration of observations of the coastal ocean continuum, from regional oceans to shelf seas and estuaries/deltas with models, can substantially increase the value of observations and enable a wealth of applications. In particular, models can play a critical role at connecting sparse observations, synthesizing them, and assisting the design of observational networks; in turn, whenever available, observations can guide coastal model development. Coastal observations should sample the two-way interactions between nearshore, estuarine and shelf processes and open ocean processes, while accounting for the different pace of circulation drivers, such as the fast atmospheric, hydrological and tidal processes and the slower general ocean circulation and climate scales. Because of these challenges, high-resolution models can serve as connectors and integrators of coastal continuum observations. Data assimilation approaches can provide quantitative, validated estimates of Essential Ocean Variables in the coastal continuum, adding scientific and socioeconomic value to observations through applications (e.g., sea-level rise monitoring, coastal management under a sustainable ecosystem approach, aquaculture, dredging, transport and fate of pollutants, maritime safety, hazards under natural variability or climate change). We strongly recommend an internationally coordinated approach in support of the proper integration of global and coastal continuum scales, as well as for critical tasks such as community-agreed bathymetry and coastline products.

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Section: Discussionmentioning

confidence: 99%

Model-Observations Synergy in the Coastal Ocean

et al. 2019

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“…The heart of any observation system is its sensors. The variety of sensors used on autonomous platforms has been growing for more than two decades (Schofield et al, 2010;Tintoré et al, 2013;Marques et al, 2018;Testor et al, 2018). These capabilities are driven by the need to characterize the ocean comprehensively and in near real-time (Zappalà et al, 2016).…”

Section: Sensorsmentioning

confidence: 99%

Future Vision for Autonomous Ocean Observations

Whitt¹,

Pearlman²,

Polagye

et al. 2020

Front. Mar. Sci.

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Whitt et al. Future of Autonomous Ocean Observations reductions. Cost reductions could enable order-of-magnitude increases in platform operations and increase sampling resolution for a given level of investment. Energy harvesting technologies should be integral to the system design, for sensors, platforms, vehicles, and docking stations. Connections are needed between the marine energy and ocean observing communities to coordinate among funding sources, researchers, and end users. Regional teams should work with global organizations such as IOC/GOOS in governance development. International networks such as emerging glider operations (EGO) should also provide a forum for addressing governance. Networks of multiple vehicles can improve operational efficiencies and transform operational patterns. There is a need to develop operational architectures at regional and global scales to provide a backbone for active networking of autonomous platforms.

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“…Since 2012, the Balearic Island Coastal Observing and forecasting System (SOCIB, Tintoré et al (2013)) operates a CODAR HFR system that monitors the IC with two antennas measuring hourly surface currents (Tintoré et al, 2020). Lana et al (2016) validated the IC HFR observations against current-meter, ADCP and surface Lagrangian drifters, showing a good agreement and the absence of significant mean error (hereafter referred as bias).…”

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confidence: 99%

Evaluating High-Frequency radar data assimilation impact in coastal ocean operational modelling

Hernández-Lasheras¹,

Mourre²,

Orfila³

et al. 2021

Preprint

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Abstract. The impact of the assimilation of HFR (High-Frequency Radar) observations in a high-resolution regional model is evaluated, focusing on the improvement of the mesoscale dynamics. The study area is the Ibiza Channel, located in the Western Mediterranean Sea. The resulting fields are tested against trajectories from 13 drifters. Six different assimilation experiments are compared to a control run (no assimilation). The experiments consists in assimilating (i) Sea surface temperature, sea level anomaly and Argo profiles (generic observation dataset); the generic observation dataset plus (ii) HFR total velocities and (iii) HFR radial velocities. Moreover, for each dataset two different initialization methods are assessed: a) restarting directly from the analysis after the assimilation or b) using an intermediate initialization step applying a strong nudging towards the analysis fields. The experiments assimilating generic observations plus HFR total velocities with the direct restart provides the best results, improving by 53 % the average separation distance between drifters and virtual particles after the first 48 hours of simulation in comparison to the control run. When using the nudging initialization step, the best results are found when assimilating HFR radial velocities, with a reduction of the mean separation distance by around 48 %. Results show the capability of the Ensemble Optimal Interpolation data-assimilative system to correct surface currents not only inside but also beyond the HFR coverage area. The assimilation of radial observations benefits from the smoothing effect associated with the application of the intermediate nudging step.

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The Impact of New Multi-platform Observing Systems in Science, Technology Development and Response to Society Needs; from Small to Large Scales…

Cited by 7 publications

References 13 publications

Model-Observations Synergy in the Coastal Ocean

Model-Observations Synergy in the Coastal Ocean

Future Vision for Autonomous Ocean Observations

Evaluating High-Frequency radar data assimilation impact in coastal ocean operational modelling

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