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This report describes the governance of the European HF radar network including: the landscape of the Ocean observation networks and infrastructures, the role and links between operators of observational systems and stakeholders, the role and activities of the EuroGOOS HF radar Task Team in building a sound community strategy, the roadmap of the community with current achievements and future work lines.

Il presente documento restituisce una sintesi delle attività del progetto IMPACT ed è diviso in due parti. La prima parte evidenzia gli strumenti completati durante la durata del progetto, in particolare la rete di radar costieri per il monitoraggio delle correnti marine e la piattaforma webGIS per la consultazione dei dati raccolti ed elaborati dai partner di progetto. La seconda parte capitalizza sui suddetti strumenti per fornire sia indicazioni metodologiche che di governance. Nello specifico, la rete di radar costieri viene utilizzata per creare mappe di potenziale contaminazione e indicare in che condizioni le attività portuali possano essere più sostenibili. Le misure demografiche e i calcoli di ritenzione indicano il livello d'efficacia delle dimensioni attuali delle AMP mentre le misure di contaminazione suggeriscono di considerare un numero maggiore di stazioni nell'ottica di migliorare i piani di monitoraggio esistenti. In quest'ottica, le indicazioni rappresentano il piano d'azione e le linee guida del progetto. L'ulteriore espansione della rete di radar costieri prevista nei progetti SICOMAR plus e SINAPSI è la prova che la conclusione delle attività del progetto IMPACT sia in realtà solo un importante punto di partenza.

This document is a step-by-step guide to start transferring HF radar (HFR) data from your network to the EU HFR node . The EU HFR node acts as the focal point for the European HFR data providers, implementing the HF radar data flow from the data providers to the distribution platforms ( Copernicus Marine Service , EMODnet-Phys and SeaDataNet ). Published Refereed Current 14.A Surface currents TRL 9 Actual system "mission proven" through successful mission operations (ground or space) Best Practice Standard Operating Procedure

This Product User Manual describes the INSITU_GLO_UV_NRT_OBSERVATIONS_013_048 product distributed by the Copernicus Marine Service In Situ Thematic Assembly Centre (CMEMS INS-TAC): how it is built, what is the content, what data services are available to access them, and how to use the files. This product concerns four real-time datasets dedicated to near-surface currents measurements coming from two platform categories (Lagrangian surface drifters and High Frequency radars): ● drifter: near-surface zonal and meridional raw velocities measured by drifting buoys, wind & wind stress components, quality flags and metadada. These surface observations are part of the DBCP’s Global Drifter Program (see Table 1) ● drifter_filt: near-surface zonal and meridional velocities and 3-day filtered (with a Lanczos filter) velocities measured by drifting buoys. All the platforms are gathered together and concatenated in concatenated daily files. ● radar_total: near-surface zonal and meridional raw velocities measured by High Frequency radars (HFR), standard deviation of near-surface zonal and meridional raw velocities, Geometrical Dilution of Precision (GDOP), quality flags and metadata. These surface observations are part of the European HF radar Network (see Mader et al, 2017 and Corgnati et al., 2018) ● radar_radial: near-surface zonal and meridional components of raw radial velocities measured by HFRs, magnitude and direction of near-surface zonal and meridional components of raw radial velocities (measured in the radial directions covered by each of the HFR stations), standard deviation of near-surface zonal and meridional components of raw radial velocities, quality flags and metadata. These surface observations are part of the European HF radar Network (see Mader et al, 2017 and Corgnati et al., 2018) ● Argo: ocean currents derived from the original trajectory data from Argo GDAC (Global Data Assembly Center). Deep current is calculated from floats drift at parking depth, surface current is calculated from float surface drift. The INS-TAC aims at providing a research and operational framework to develop and deliver in situ observations and derived products based on such observations, to address progressively global (GLO) but also regional needs either for monitoring, modelling or downstream service development. Published Refereed Current 14.A Surface currents TRL 9 Actual system "mission proven" through successful mission operations (ground or space) Manual (incl. handbook, guide, cookbook etc)

Deliverable D3.4 is the second and final deliverable of Task 3.2, where a final assessment and testing of all the new developed methodologies related to HF radar data is provided. An impressive suite of new tools is presented, and their impact on the use of HF radars is discussed. HF radars are today a vital and growing part of the observing system in Europe, and Task 3,2, have greatly contributed to this growth through methodological development. The work has been performed in synergy with other WPs, in particular WP4 for testing in specific areas, and WP5 for the elaboration of interoperability standards. Scientific collaborations have included a number of international scientists and institutions also outside the original JERICO-NEXT consortium, Testing has been carried out using data from several installations in various European seas and oceans, including the German Bight, the Bay of Biscay, the West Med, the Adriatic Sea and the Swedish coasts. The developments focus on the following three main aspects, mirroring the three subtasks in Task 3.2: 1) scientific basis for quality control and interoperability standards; 2) methods to optimize installation planning; 3) methods for advanced analyses to be used in practical applications.1.The quality of current retrievals has been investigated, and methods to improve their QC have been developed and tested. A focused scientific investigation has been performed on how to quantify accuracy in the important and challenging case of high current sub-grid variability. The approach, tested in the German Bight, provides general methodological indications that can be applied to different situations. Also, scientific support has been provided to the interoperability effort carried out in the framework of WP5. Improved recommendations for European QC have been investigated thanks to an international collaboration, providing the basis for the results in the WP5 deliverable D5.14. 2) Methods to guide the design of HF radar networks have been completed. A cost benefit analysis is made available taking into account the geographical distribution of the requirements and the geographical capabilities of the existing and potential HF radar network. It allows the prioritization of potential new platforms considering their respective contribution into the overall impact of the HF Radar network. As a demonstrator, different scenarios have been assessed for the development of long-range HF Radar network in the Bay of Biscay and north-western Iberian Peninsula. An additional tool has been introduced for considering the variability of the ocean processes at the scale resolved by the targeted observing platform. 3) A number of new products have been implemented for the analyses of HF radar data and their use in practical applications. Methods for blending HF radar data with water column information from ADCP and glider data have been implemented and tested, providing guidance for important future applications toward the integration of different observing system components. Various gap filling methods have been tested and a new one implemented, in order to ensure smooth trajectory computations for transport applications. Innovative flow characterization methods for biological applications have been explored. They include Lagrangian methods to quantify flow transport and retention, and their impact on phytoplankton or larval transport and fishery management, as well as a new class of indexes of small scale divergence and vertical velocities with potential ecosystem impact. Finally, two different approaches to improve transport and flow forecasting using HF radar data have been assessed.

Il presente documento descrive la rete radar transfrontaliera implementata nell'ambito del progetto IMPACT.

Best Practice in the implementation and use of HF-radar systems

This document specifies the QC standard procedures, the standard interoperable data and metadata format and the derived CDI metadata format for historical radial and total velocity data measured by HF Radars. These standard procedures and formats are necessary for the ingestion of historical HF Radar current data into SDN catalogues. Published Refereed Current 14.A TRL 9 Actual system "mission proven" through successful mission operations (ground or space) Manual (incl. handbook, guide, cookbook etc) Standard Operating Procedure

This document specifies the QC standard procedures, the standard interoperable data and metadata format and the derived CDI metadata format for historical radial and total velocity data measured by HF Radars. These standard procedures and formats are necessary for the ingestion of historical HF Radar current data into SDN catalogues.

l presente documento illustra la strategia che verrà adottata nel progetto IMPACT per rendere interoperabili i dati acquisiti con tecnologia radar HF relativamente alla misura delle correnti marine superficiali, e per integrare i dataset prodotti nell'arco della durata del progetto dai partner coinvolti in questa attività e che possiedono e gestiscono reti di radar HF, ovvero ISMAR-CNR, Consorzio LaMMA e Università di Tolone. La descrizione della rete radar transfrontaliera che dà origine ai dati in oggetto e alcuni cenni sulla tecnologia radar HF sono riportati nel prodotto 2.1.1 di IMPACT. Il tipo di dato è una mappa di vettori 2- dimensionale (vettori "totali") su griglia rettangolare con risoluzione spaziale tipica che varia tra 1,5 e 3 km e risoluzione temporale tipica di 1h. I dati rilevati da High Frequency Radar (HFR), unica tecnologia di telerilevamento da costa che consente la mappatura di campi di correnti marine su ampie aree con un'elevata risoluzione spaziale e temporale, sono applicati in molti settori come la ricerca oceanografica e sull'ambiente marino, la sicurezza, la gestione costiera, la pesca, la navigazione e l'energia rinnovabile (Paduane Washburn, 2013, Rubio et al., 2017, Corgnati et al., 2018, Sciascia et al., 2019). Tali dati inoltre, essendo stati identificati come una tecnologia emergente nell'ambito del Global Ocean Observation System, saranno sistematicamente assimilati dai modelli numerici marini per la valutazione e la validazione delle previsioni.

Recommendation Report 2 on improved common procedures for HFR QC analysis, including recommended common metadata and data model for HFR current data for HFR data implementation in European marine data infrastructures

Recommendation Report 1 for HFR data implementation in European marine data infrastructures, including recommended common metadata and data model for HFR

Report on first methodological improvements on retrieval algorithms and HF radar network design. Results obtained to date in Subtasks 3.2.1-3.2.2 will provide first recommendations on the implementation of improved techniques for HF radar systems (M24)