Data qualification guide for coastal ocean high frequency observation (COAST-HF, IR-ILICO). ; Guide pour la qualification des données hautes fréquences côtières acquises dans le cadre de l'IR-ILICO et du SNO-COAST-HF.

French national observation "services" (SNO) are scientific research networks dedicated to the observation, collection and use of data. 9 of them are dedicated to the coastal ocean and are coordinated by the Coastal Research Infrastructure (IR-Ilico). Among them, there is the COAST-HF network (Coastal OceAn observing SysTem – High Frequency) which aims to bring together and coordinate a set of fixed high-frequency hydrological measurement platforms. The data acquired is used to monitor the evolution of coastal environments in the long term and detect the impact of extreme events (e.g. floods, storms, droughts, ecological crises). This data must be of optimal quality which must be controlled, evaluated and formalized.To contribute to this, 3 months of work was carried out from October to December 2022 (CDD) with the financial support of IR-ILICO. It aimed to implement the quality control tool Scoop 3 (System Of Control Oriented Oceanographic Parameters, Ifremer) in “routine” mode and apply it to standard SNO (Coast-HF-Iroise) datasets in order to test it and make it accessible to the entire network. Accessibility is ensured by this report which documents “step by step” the main stages of the validation process. This work aims to contribute to the definition and formalization of the network’s “Best Practices”.As a reminder, the data is collected by multi-parameter probes, and is sent and disseminated on various websites, including the coastal Coriolis portal. They are then checked and corrected if necessary, by expert validators, using other datasets available at the same measuring stations. This inter-comparison is essentially made with Somlit data (SNO-Service d’Observation en Milieu LITtoral), collected at low frequency, manually and analyzed in the laboratory.Specifically, three objectives were set (Fig. 1):(i) explore, test and document all websites with standard data (Iroise) in order to facilitate their use(ii) take charge of the SCOOP qualification tool and test it by qualifying the standard data ...