seanoe:80130 Schmidt Sabine CNRS, UMR5805 EPOC, France 2022-10-05 ISO 19115:2003/19139 1.0 High frequency monitoring of water quality in the North-Aquitanian estuaries: data from the Portets station 2021 2022-10-05 Schmidt Sabine, The Magest Consortium (2021). High frequency monitoring of water quality in the North-Aquitanian estuaries: data from the Portets station. SEANOE. https://doi.org/10.17882/80130 The French Atlantic coast hosts numerous macrotidal and turbid estuaries that flow into the Bay of Biscay that are natural corridors for migratory fishes. The two best known are those of the Gironde and the Loire. However, there are also a dozen estuaries set geographically among them, of a smaller scale. The physico-chemical quality of estuarine waters is a necessary support element for biological life and determines the distribution of species, on which many ecosystem services (e.g. professional or recreational fishing) depend. With rising temperatures and water levels, declining precipitation and population growth projected for the New Aquitaine region by 2030, the question of how the quality and ecological status of estuarine waters will evolve becomes increasingly critical. The MAGEST (Mesures Automatisées pour l’observation et la Gestion des ESTuaires nord aquitains) high-frequency monitoring of key physico-chemical parameters was first developed in the Gironde estuary in 2004 ; the Seudre and Charente estuaries were instrumented late 2020. First based on real-time automated systems, MAGEST is now equipped by autonomous multiparameter sensors. Depending of the stations, an optode is also deployed to secure dissolved oxygen measurement. By the end of 2020, MAGEST had 12 instrumented sites. Portets is a measuring station located in the upper Gironde estuary (Garonne subestuary, about 20 km upstream of the Bordeaux metropolis. This work is financially supported by the consortium MAGEST, which is composed of the following organisms: AEAG (Agence de l’Eau Adour-Garonne); SMIDDEST (Syndicat MIxte pour le Développement Durable de l'ESTuaire de la Gironde); SMEAG (Syndicat Mixte d'Etudes et d'Aménagement de la Garonne); EPIDOR (Etablissement Public Interdépartemental de la Dordogne); CNPE-Blayais; GPMB (Grand Port Maritime de Bordeaux); BORDEAUX METROPOLE; Conseil Régional Nouvelle Aquitaine; Le département de la Gironde; IRSTEA; CNRS; Université Bordeaux. Schmidt Sabine CNRS, UMR5805 EPOC, France the MAGEST consortium MAGEST consortium SEANOE https://www.seanoe.org/data/00689/80130/illustration.gif The floating pontoon of Portets on which the multiparameter sensor was moored estuary observing system high frequency MAGEST Gironde Seudre Charente salinity turbidity temperature dissolved oxygen subsurface measurement levels Portets MAGEST Garonne Chemical oceanography Dissolved oxygen Salinity Sea temperature Turbidity ODATIS aggregation parameters and Essential Variable names 2024-09-16 geonetwork.thesaurus.external.theme.NVS.OD1 Chemical oceanography SeaDataNet Parameter Disciplines 2021-04-07 geonetwork.thesaurus.external.parameter.NVS.P08 /Observational data/in-situ Type de jeux de donnée ODATIS 2024-10-15 geonetwork.thesaurus.local.theme.type_jeux_donnee CC-BY-NC (Creative Commons - Attribution, No commercial usage) oceans -1.3 0.2 44.6 46.0 2019-08-05 2020-10-05 CSV https://www.seanoe.org/data/00689/80130/data/83177.csv WWW:DOWNLOAD-1.0-link--download Quality controlled data Salinity, turbidity, dissolved oxygen and temperature measured of subsurface water in Portets station - 1 MB https://data-marineinsitu.ifremer.fr/glo_multiparameter_nrt/history/MO/GL_TS_MO_62308.nc WWW:LINK Copernicus NetCDF standard format https://doi.org/10.17882/80130 WWW:LINK-1.0-http--metadata-URL DOI of the product https://www.seanoe.org/data/00689/80130/ rel-canonical Seanoe The measurements were done using a multiparameter sensor, called SAMBAT, developed by NKE Instrumentation (France). The measured parameters are temperature (−-5 to +35°C; ± < 1%), salinity (range 0.1 -42; ± < 5%), turbidity (Turner Designs CYCLOPS-7; 0 - 3000 NTU; ± < 5%), dissolved oxygen (0 - 200 %;  ± 5 ). The data were qualified according three categories : 1 - Good data, 3 - Probably good data, 9 - Missing value. Missing data are replaced by the value “-9999”.