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Erddap est un produit développé par : NOAA ERD |
griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014/ | public | EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (NetCDF 2014-2015) | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nDEPH (depth of measurements, Metres)\nTEMP (temperature, degree_C)\nTEMP_QC (Temperature quality flag)\nPRES (pressure, Decibars)\nPRES_QC (Pressure quality flag)\n... (22 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2014 | ||
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015/ | public | EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (NetCDF 2015-2016) | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nDEPH (depth of measurements, Metres)\nTEMP (temperature, degree_C)\nTEMP_QC (Temperature quality flag)\nPRES (pressure, Decibars)\nPRES_QC (Pressure quality flag)\n... (16 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2015 | ||
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016/ | public | EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (NetCDF 2016-2017) | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\nDEPH (depth of measurements, Metres)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nRFVL_X (Metres per second)\nRFVL_Y (Y_North, Metres per second)\nLRZA (Metres per second)\nXYZ_QC\n... (22 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2016 | ||
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018/ | public | EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (NetCDF 2018-2019) | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\nDEPH (depth of measurements, Metres)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nRFVL_X (Metres per second)\nRFVL_Y (Y_North, Metres per second)\nLRZA (Metres per second)\nXYZ_QC\n... (22 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2018 | ||
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021/ | public | EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (NetCDF files 2021-07 to 2023-05) | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\nDEPH (depth of measurements, Metres)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nRFVL_X (Metres per second)\nRFVL_Y (Y_North, Metres per second)\nLRZA (Metres per second)\nXYZ_QC\n... (22 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2021 | ||
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024/ | public | EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (NetCDF files from 2024-03) | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name, N/A)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\nDEPH (depth of measurements, Metres)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nEWCT (X_East, Metres per second)\nNSCT (Y_North, Metres per second)\nVCSP (Metres per second)\nXYX_QC (Current Velocity Quality Code)\n... (22 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_Albatross_Aquadopp_NetCDF_2024 | ||
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017/ | public | EMSO Western Ligurian : MII, AQUADOPP sensor (NetCDF files from 2017-09) | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstationname (station name)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nDEPH (depth of measurements, Metres)\nRFVL_X (Metres per second)\nRFVL_Y (Y_North, Metres per second)\nLRZA (Metres per second)\nXYZ_QC\n... (22 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_MII_Aquadopp_NetCDF_2017 | ||
https://erddap.osupytheas.fr/erddap/tabledap/EMSO_LO_BJS_ADCP_NCF_2023.subset | https://erddap.osupytheas.fr/erddap/tabledap/EMSO_LO_BJS_ADCP_NCF_2023 | https://erddap.osupytheas.fr/erddap/tabledap/EMSO_LO_BJS_ADCP_NCF_2023.graph | https://erddap.osupytheas.fr/erddap/files/EMSO_LO_BJS_ADCP_NCF_2023/ | public | EMSO-LO Western Ligurian : BJS_Bathydock, ADCP sensor (NetCDF files from 2023-09-20 | The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian (EMSO-WL) is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is located close by KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation at the EMSO-WL station is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS) as well as a junction box (BJS). The BathyFamily is a package of innovative multi-instrumented platforms to observe the deep sea. BathyBot is an Internet Operated Vehicle (IOV) deployed from a landing station (BathyDock), and close to BathyReef a 3D-printed biomimetic colonizer.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nPOSITION_QC (quality flag for position)\ndepth (depth of measurements, m)\nDEPH_QC (Profondeur quality flag)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Time quality flag)\nHEAD (Heading, degrees)\nHead_QC (Heading quality code)\nPITCH (degrees)\nPitch_QC (Pitch quality code)\n... (26 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/EMSO_LO_BJS_ADCP_NCF_2023_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/EMSO_LO_BJS_ADCP_NCF_2023_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/EMSO_LO_BJS_ADCP_NCF_2023/index.htmlTable | https://www.seadatanet.org/ | http://erddap.osupytheas.fr/erddap/rss/EMSO_LO_BJS_ADCP_NCF_2023.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=EMSO_LO_BJS_ADCP_NCF_2023&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | EMSO_LO_BJS_ADCP_NCF_2023 | ||
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023.subset | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023 | https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023.graph | https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023/ | public | EMSO-LO Western Ligurian : BJS_Bathydock_Bathybot Aquadopp sensor (NetCDF files from 2023-09-20) | EMSO-LO Western Ligurian : BathyBot, Aquadopp sensor (Network Common Data Format (NetCDF) files from 2023-04-28). The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories. It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems. This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea. There are currently eleven deep water nodes plus four shallow water test nodes. EMSO Western Ligurian (EMSO-WL) is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow. This underwater observation network is located close by KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation at the EMSO-WL station is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS) as well as a junction box (BJS). The BathyFamily is a package of innovative multi-instrumented platforms to observe the deep sea. BathyBot is an Internet Operated Vehicle (IOV) deployed from a landing station (BathyDock), and close to BathyReef a 3D-printed biomimetic colonizer\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation_id (station name, Not applicable)\nlatitude (Latitude of measurements, degrees_north)\nlongitude (Longitude of measurements, degrees_east)\nPosition_QC (quality flag for position)\nDEPH (depth of measurements, Metres)\nDeph_QC (Profondeur quality flag)\ntime (time of measurements, seconds since 1970-01-01T00:00:00Z)\nTime_QC (Time quality flag)\nEWCT (X_East eastward_sea_water_velocity, Metres per second)\nNSCT (Y_North northward_sea_water_velocity, Metres per second)\n... (26 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023/index.htmlTable | http://www.emso-fr.org/EMSO-France | http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | Emso_Western_Ligurian_Bathybot_Aquadopp_NetCDF_2023 | ||
https://erddap.osupytheas.fr/erddap/tabledap/EUREC4A_fc8e_b4d5_9836.subset | https://erddap.osupytheas.fr/erddap/tabledap/EUREC4A_fc8e_b4d5_9836 | https://erddap.osupytheas.fr/erddap/tabledap/EUREC4A_fc8e_b4d5_9836.graph | https://erddap.osupytheas.fr/erddap/files/EUREC4A_fc8e_b4d5_9836/ | public | EUREC4A-OA 2020 experiment, level 2 surface and air-sea turbulent fluxes | FLUX MAST EUREC4A-OA 2020 experiment, level 2 surface and air-sea turbulent fluxes\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from bulk calculation, m s-1)\nt10n (Equivalent neutral air temperature extrapolated at a 10-m height, from bulk calculation, degree_C)\nq10n (Equivalent neutral specific humidity extrapolated at a 10-m height, from bulk calculation, g kg-1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) zo parameterization from Smith (1988), m s-1)\nhsv_bulk (Turbulent surface buoyancy flux, positive upward, from bulk calculation, W m-2)\nhfss_bulk (Turbulent surface sensible heat flux, positive upward, from bulk calculation, W m-2)\nhfls_bulk (Turbulent surface latent heat flux, positive upward, from bulk calculation, W m-2)\nzL_bulk (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from bulk calculation, 1)\ndepth (Height above sea level for wind data (sonic anemometer), m)\nzt (Height above sea level for weather station data (temperature, pressure, and humidity), m)\nzd (Depth of SST data, m)\nstation_name\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/EUREC4A_fc8e_b4d5_9836_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/EUREC4A_fc8e_b4d5_9836_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/EUREC4A_fc8e_b4d5_9836/index.htmlTable | https://doi.org/10.17882/77341 | http://erddap.osupytheas.fr/erddap/rss/EUREC4A_fc8e_b4d5_9836.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=EUREC4A_fc8e_b4d5_9836&showErrors=false&email= | MIO UMR7294 CNRS | EUREC4A_fc8e_b4d5_9836 | ||
https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2012.subset | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2012 | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2012.graph | https://erddap.osupytheas.fr/erddap/files/JULIO_ADCP_2012/ | public | Julio ADCP current measurements, 2012 | JULIO - Acoustic Doppler Current Profiler (ADCP) current measurements. JULIO - ADCP ; JULIO (Judicious Location for Intrusions Observations) mooring is located close to the 100 m-deep isobath (around 5.25 degEast and 43.13 degNorth), offshore Marseille. With its bottom-moored (300kHz) ADCP, it enables measuring horizontal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental shelf.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (Depth of measurement, m)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nSTATION_ID (Station identifier)\nMPMN (Moored instrument DEPH, m)\nEWCT (Eastward Sea Water Velocity, m s-1)\nNSCT (Northward Sea Water Velocity, m s-1)\nVCSP (Bottom-top current component, m s-1)\nERVV (Error velocity, m s-1)\nCSPD (Speed mean of water current in the water body, m s-1)\nCDIR (Direction (towards) of water current in the water body, m s-1)\nECI1 (Echo intensity per beam 1, count)\nECI2 (Echo intensity per beam 2, count)\nECI3 (Echo intensity per beam 3, count)\nECI4 (Echo intensity per beam 4, count)\nPGB1 (Pings received as a percentage of pings sent per beam 1, percent)\nPGB2 (Pings received as a percentage of pings sent per beam 2, percent)\nPGB3 (Pings received as a percentage of pings sent per beam 3, percent)\nPGB4 (Pings received as a percentage of pings sent per beam 4, percent)\nQCflag (Overall quality flag, 1)\nTIME_QC (Time quality flag, 1)\n... (4 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/JULIO_ADCP_2012_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/JULIO_ADCP_2012_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/JULIO_ADCP_2012/index.htmlTable | https://www.mio.osupytheas.fr/ | http://erddap.osupytheas.fr/erddap/rss/JULIO_ADCP_2012.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=JULIO_ADCP_2012&showErrors=false&email= | MIO UMR7294 CNRS Marseille | JULIO_ADCP_2012 | ||
https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2013.subset | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2013 | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2013.graph | https://erddap.osupytheas.fr/erddap/files/JULIO_ADCP_2013/ | public | Julio ADCP current measurements, 2013 | JULIO - Acoustic Doppler Current Profiler (ADCP) current measurements. JULIO - ADCP ; JULIO (Judicious Location for Intrusions Observations) moori\nng is located close to the 100 m-deep isobath (around 5.25 degEast and 43.13 degNorth), offshore Marseille. With its bottom-moored (300kHz) ADCP, it enables measuring horizon\ntal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental she\nlf.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (Depth of measurement, m)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nSTATION_ID (Station identifier)\nMPMN (Moored instrument DEPH, m)\nEWCT (Eastward Sea Water Velocity, m s-1)\nNSCT (Northward Sea Water Velocity, m s-1)\nVCSP (Bottom-top current component, m s-1)\nERVV (Error velocity, m s-1)\nCSPD (Speed mean of water current in the water body, m s-1)\nCDIR (Direction (towards) of water current in the water body, m s-1)\nECI1 (Echo intensity per beam 1, count)\nECI2 (Echo intensity per beam 2, count)\nECI3 (Echo intensity per beam 3, count)\nECI4 (Echo intensity per beam 4, count)\nPGB1 (Pings received as a percentage of pings sent per beam 1, percent)\nPGB2 (Pings received as a percentage of pings sent per beam 2, percent)\nPGB3 (Pings received as a percentage of pings sent per beam 3, percent)\nPGB4 (Pings received as a percentage of pings sent per beam 4, percent)\nQCflag (Overall quality flag, 1)\n... (5 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/JULIO_ADCP_2013_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/JULIO_ADCP_2013_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/JULIO_ADCP_2013/index.htmlTable | https://www.mio.osupytheas.fr/ | http://erddap.osupytheas.fr/erddap/rss/JULIO_ADCP_2013.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=JULIO_ADCP_2013&showErrors=false&email= | MIO UMR7294 CNRS Marseille | JULIO_ADCP_2013 | ||
https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2014.subset | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2014 | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2014.graph | https://erddap.osupytheas.fr/erddap/files/JULIO_ADCP_2014/ | public | Julio ADCP current measurements, 2014 | JULIO - Acoustic Doppler Current Profiler (ADCP) current measurements. JULIO - ADCP ; JULIO (Judicious Location for Intrusions Observations) moori\nng is located close to the 100 m-deep isobath (around 5.25 degEast and 43.13 degNorth), offshore Marseille. With its bottom-moored (300kHz) ADCP, it enables measuring horizon\ntal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental she\nlf.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (Depth of measurement, m)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nSTATION_ID (Station identifier)\nMPMN (Moored instrument DEPH, m)\nEWCT (Eastward Sea Water Velocity, m s-1)\nNSCT (Northward Sea Water Velocity, m s-1)\nVCSP (Bottom-top current component, m s-1)\nERVV (Error velocity, m s-1)\nCSPD (Speed mean of water current in the water body, m s-1)\nCDIR (Direction (towards) of water current in the water body, m s-1)\nECI1 (Echo intensity per beam 1, count)\nECI2 (Echo intensity per beam 2, count)\nECI3 (Echo intensity per beam 3, count)\nECI4 (Echo intensity per beam 4, count)\nPGB1 (Pings received as a percentage of pings sent per beam 1, percent)\nPGB2 (Pings received as a percentage of pings sent per beam 2, percent)\nPGB3 (Pings received as a percentage of pings sent per beam 3, percent)\nPGB4 (Pings received as a percentage of pings sent per beam 4, percent)\nQCflag (Overall quality flag, 1)\n... (5 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/JULIO_ADCP_2014_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/JULIO_ADCP_2014_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/JULIO_ADCP_2014/index.htmlTable | https://www.mio.osupytheas.fr/ | http://erddap.osupytheas.fr/erddap/rss/JULIO_ADCP_2014.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=JULIO_ADCP_2014&showErrors=false&email= | MIO UMR7294 CNRS Marseille | JULIO_ADCP_2014 | ||
https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2020.subset | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2020 | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2020.graph | https://erddap.osupytheas.fr/erddap/files/JULIO_ADCP_2020/ | public | Julio ADCP current measurements, 2020 | JULIO - Acoustic Doppler Current Profiler (ADCP) current measurements. JULIO - ADCP ; JULIO (Judicious Location for Intrusions Observations) moori\nng is located close to the 100 m-deep isobath (around 5.25 degEast and 43.13 degNorth), offshore Marseille. With its bottom-moored (300kHz) ADCP, it enables measuring horizon\ntal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental she\nlf.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (Depth of measurement, m)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nSTATION_ID (Station identifier)\nMPMN (Moored instrument DEPH, m)\nEWCT (Eastward Sea Water Velocity, m s-1)\nNSCT (Northward Sea Water Velocity, m s-1)\nVCSP (Bottom-top current component, m s-1)\nERVV (Error velocity, m s-1)\nCSPD (Speed mean of water current in the water body, m s-1)\nCDIR (Direction (towards) of water current in the water body, m s-1)\nECI1 (Echo intensity per beam 1, count)\nECI2 (Echo intensity per beam 2, count)\nECI3 (Echo intensity per beam 3, count)\nECI4 (Echo intensity per beam 4, count)\nPGB1 (Pings received as a percentage of pings sent per beam 1, percent)\nPGB2 (Pings received as a percentage of pings sent per beam 2, percent)\nPGB3 (Pings received as a percentage of pings sent per beam 3, percent)\nPGB4 (Pings received as a percentage of pings sent per beam 4, percent)\nQCflag (Overall quality flag, 1)\n... (5 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/JULIO_ADCP_2020_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/JULIO_ADCP_2020_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/JULIO_ADCP_2020/index.htmlTable | https://www.mio.osupytheas.fr/ | http://erddap.osupytheas.fr/erddap/rss/JULIO_ADCP_2020.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=JULIO_ADCP_2020&showErrors=false&email= | MIO UMR7294 CNRS Marseille | JULIO_ADCP_2020 | ||
https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2021.subset | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2021 | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2021.graph | https://erddap.osupytheas.fr/erddap/files/JULIO_ADCP_2021/ | public | Julio ADCP current measurements, 2021 | JULIO - Acoustic Doppler Current Profiler (ADCP) current measurements. JULIO - ADCP ; JULIO (Judicious Location for Intrusions Observations) moori\nng is located close to the 100 m-deep isobath (around 5.25 degEast and 43.13 degNorth), offshore Marseille. With its bottom-moored (300kHz) ADCP, it enables measuring horizon\ntal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental she\nlf.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (Depth of measurement, m)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nSTATION_ID (Station identifier)\nMPMN (Moored instrument DEPH, m)\nEWCT (Eastward Sea Water Velocity, m s-1)\nNSCT (Northward Sea Water Velocity, m s-1)\nVCSP (Bottom-top current component, m s-1)\nERVV (Error velocity, m s-1)\nCSPD (Speed mean of water current in the water body, m s-1)\nCDIR (Direction (towards) of water current in the water body, m s-1)\nECI1 (Echo intensity per beam 1, count)\nECI2 (Echo intensity per beam 2, count)\nECI3 (Echo intensity per beam 3, count)\nECI4 (Echo intensity per beam 4, count)\nPGB1 (Pings received as a percentage of pings sent per beam 1, percent)\nPGB2 (Pings received as a percentage of pings sent per beam 2, percent)\nPGB3 (Pings received as a percentage of pings sent per beam 3, percent)\nPGB4 (Pings received as a percentage of pings sent per beam 4, percent)\nQCflag (Overall quality flag, 1)\n... (5 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/JULIO_ADCP_2021_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/JULIO_ADCP_2021_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/JULIO_ADCP_2021/index.htmlTable | https://www.mio.osupytheas.fr/ | http://erddap.osupytheas.fr/erddap/rss/JULIO_ADCP_2021.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=JULIO_ADCP_2021&showErrors=false&email= | MIO UMR7294 CNRS Marseille | JULIO_ADCP_2021 | ||
https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2022.subset | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2022 | https://erddap.osupytheas.fr/erddap/tabledap/JULIO_ADCP_2022.graph | https://erddap.osupytheas.fr/erddap/files/JULIO_ADCP_2022/ | public | Julio ADCP current measurements, 2022 | JULIO (Judicious Location for Intrusions Observations) mooring is located close to the 100 m-deep isobath (around 5.25?E and 43.13?N), offshore Marseille. With its bottom-moored (300kHz) Acoustic Doppler Current Profiler (ADCP), it enables measuring horizontal currents (every 4 m and every 30 minutes) through the water column, and among others, identifying periods of exchange between the Northern Current and the continental shelf.\n\ncdm_data_type = Other\nVARIABLES:\nSTATION (Station identifier)\ndepth (DEPH of measurement, m)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nMPMN (Moored instrument DEPH, m)\nEWCT (Eastward Sea Water Velocity, m s-1)\nNSCT (Northward Sea Water Velocity, m s-1)\nVCSP (Bottom-top current component, m s-1)\nERVV (Error velocity, m s-1)\nCSPD (Speed mean of water current in the water body, m s-1)\nCDIR (Direction (towards) of water current in the water body, m s-1)\nECI1 (Echo intensity per beam 1, count)\nECI2 (Echo intensity per beam 2, count)\nECI3 (Echo intensity per beam 3, count)\nECI4 (Echo intensity per beam 4, count)\nPGB1 (Pings received as a percentage of pings sent per beam 1, percent)\nPGB2 (Pings received as a percentage of pings sent per beam 2, percent)\nPGB3 (Pings received as a percentage of pings sent per beam 3, percent)\nPGB4 (Pings received as a percentage of pings sent per beam 4, percent)\nQCflag (Overall quality flag, 1)\nTIME_QC (Time quality flag, 1)\nPOSITION_QC (Position quality flag, 1)\nEWCT_QC (Overall quality flag, 1)\nNSCT_QC (Overall quality flag, 1)\nVCSP_QC (Overall quality flag, 1)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/JULIO_ADCP_2022_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/JULIO_ADCP_2022_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/JULIO_ADCP_2022/index.htmlTable | https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search;jsessionid=2CA212C4AE3E6178F901C9DE2EA2EC98#/metadata/ap_mio_20231114 | http://erddap.osupytheas.fr/erddap/rss/JULIO_ADCP_2022.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=JULIO_ADCP_2022&showErrors=false&email= | MIO UMR7294 CNRS / OSU Pytheas | JULIO_ADCP_2022 | ||
https://erddap.osupytheas.fr/erddap/tabledap/AMOP_3b75_05e1_8951.subset | https://erddap.osupytheas.fr/erddap/tabledap/AMOP_3b75_05e1_8951 | https://erddap.osupytheas.fr/erddap/tabledap/AMOP_3b75_05e1_8951.graph | https://erddap.osupytheas.fr/erddap/files/AMOP_3b75_05e1_8951/ | public | OCARINA AMOP 2014 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes | OCARINA level 2 data, calibrated. Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/AMOP_3b75_05e1_8951_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/AMOP_3b75_05e1_8951_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/AMOP_3b75_05e1_8951/index.htmlTable | http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a | http://erddap.osupytheas.fr/erddap/rss/AMOP_3b75_05e1_8951.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=AMOP_3b75_05e1_8951&showErrors=false&email= | MIO UMR7294 CNRS | AMOP_3b75_05e1_8951 | ||
https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto1_02c1_999c_aa46.subset | https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto1_02c1_999c_aa46 | https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto1_02c1_999c_aa46.graph | https://erddap.osupytheas.fr/erddap/files/BBWAVES_2015_proto1_02c1_999c_aa46/ | public | OCARINA BBWAVES 2015 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes | Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/BBWAVES_2015_proto1_02c1_999c_aa46_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/BBWAVES_2015_proto1_02c1_999c_aa46_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/BBWAVES_2015_proto1_02c1_999c_aa46/index.htmlTable | http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a | http://erddap.osupytheas.fr/erddap/rss/BBWAVES_2015_proto1_02c1_999c_aa46.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=BBWAVES_2015_proto1_02c1_999c_aa46&showErrors=false&email= | MIO UMR7294 CNRS | BBWAVES_2015_proto1_02c1_999c_aa46 | ||
https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto2_0c15_7ba6_2c7c.subset | https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto2_0c15_7ba6_2c7c | https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2015_proto2_0c15_7ba6_2c7c.graph | https://erddap.osupytheas.fr/erddap/files/BBWAVES_2015_proto2_0c15_7ba6_2c7c/ | public | OCARINA BBWAVES 2015 experiment, prototype 2, level 2 surface and air-sea turbulent fluxes | Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the double integration of the vertical platform acceleration, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the double integration of the vertical platform acceleration, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\nhsv_bulk (Turbulent surface buoyancy flux, positive upward, from bulk calculation, W m-2)\nhfss_bulk (Turbulent surface sensible heat flux, positive upward, from bulk calculation, W m-2)\nhfls_bulk (Turbulent surface latent heat flux, positive upward, from bulk calculation, W m-2)\nzL_bulk (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from bulk calculation, 1)\n... (8 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/BBWAVES_2015_proto2_0c15_7ba6_2c7c_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/BBWAVES_2015_proto2_0c15_7ba6_2c7c_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/BBWAVES_2015_proto2_0c15_7ba6_2c7c/index.htmlTable | http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a | http://erddap.osupytheas.fr/erddap/rss/BBWAVES_2015_proto2_0c15_7ba6_2c7c.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=BBWAVES_2015_proto2_0c15_7ba6_2c7c&showErrors=false&email= | MIO UMR7294 CNRS | BBWAVES_2015_proto2_0c15_7ba6_2c7c | ||
https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2016_proto1_5ecc_9507_edad.subset | https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2016_proto1_5ecc_9507_edad | https://erddap.osupytheas.fr/erddap/tabledap/BBWAVES_2016_proto1_5ecc_9507_edad.graph | https://erddap.osupytheas.fr/erddap/files/BBWAVES_2016_proto1_5ecc_9507_edad/ | public | OCARINA BBWAVES 2016 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes | Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/BBWAVES_2016_proto1_5ecc_9507_edad_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/BBWAVES_2016_proto1_5ecc_9507_edad_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/BBWAVES_2016_proto1_5ecc_9507_edad/index.htmlTable | http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a | http://erddap.osupytheas.fr/erddap/rss/BBWAVES_2016_proto1_5ecc_9507_edad.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=BBWAVES_2016_proto1_5ecc_9507_edad&showErrors=false&email= | MIO UMR7294 CNRS | BBWAVES_2016_proto1_5ecc_9507_edad | ||
https://erddap.osupytheas.fr/erddap/tabledap/FROMVAR_142e_219c_c4aa.subset | https://erddap.osupytheas.fr/erddap/tabledap/FROMVAR_142e_219c_c4aa | https://erddap.osupytheas.fr/erddap/tabledap/FROMVAR_142e_219c_c4aa.graph | https://erddap.osupytheas.fr/erddap/files/FROMVAR_142e_219c_c4aa/ | public | OCARINA FROMVAR 2011 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes | Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/FROMVAR_142e_219c_c4aa_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/FROMVAR_142e_219c_c4aa_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/FROMVAR_142e_219c_c4aa/index.htmlTable | http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a | http://erddap.osupytheas.fr/erddap/rss/FROMVAR_142e_219c_c4aa.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=FROMVAR_142e_219c_c4aa&showErrors=false&email= | MIO UMR7294 CNRS | FROMVAR_142e_219c_c4aa | ||
https://erddap.osupytheas.fr/erddap/tabledap/STRASSE_89bd_108e_d909.subset | https://erddap.osupytheas.fr/erddap/tabledap/STRASSE_89bd_108e_d909 | https://erddap.osupytheas.fr/erddap/tabledap/STRASSE_89bd_108e_d909.graph | https://erddap.osupytheas.fr/erddap/files/STRASSE_89bd_108e_d909/ | public | OCARINA STRASSE 2012 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes | Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/STRASSE_89bd_108e_d909_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/STRASSE_89bd_108e_d909_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/STRASSE_89bd_108e_d909/index.htmlTable | http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a | http://erddap.osupytheas.fr/erddap/rss/STRASSE_89bd_108e_d909.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=STRASSE_89bd_108e_d909&showErrors=false&email= | MIO UMR7294 CNRS | STRASSE_89bd_108e_d909 | ||
https://erddap.osupytheas.fr/erddap/tabledap/UPCAST_b0e2_399c_6fd2.subset | https://erddap.osupytheas.fr/erddap/tabledap/UPCAST_b0e2_399c_6fd2 | https://erddap.osupytheas.fr/erddap/tabledap/UPCAST_b0e2_399c_6fd2.graph | https://erddap.osupytheas.fr/erddap/files/UPCAST_b0e2_399c_6fd2/ | public | OCARINA UPCAST 2017 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes | Turbulent air-sea fluxes and associated variables from the OCARINA wave-following and drifting platform (Bourras et al. 2014, DOI: 10.1175/JTECH-D-13-00055.)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime2 (Time)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\npair (Air pressure, hPa)\ntair (Air Temperature, degree_C)\nhur (Relative air humidity, 1)\nsst (degree_C)\nrho (Density of air, kg m-3)\nrlds (downwelling longwave radiation flux, positive downward, W m-2)\nrlus (upwelling longwave radiation flux, positive upward, W m-2)\nrsds (downwelling shortwave radiation flux, positive downward, W m-2)\nrsus (upwelling shortwave radiation flux, positive upward, W m-2)\nwdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)\nwspd (Magnitude of wind velocity with respect to ground, m s-1)\nu10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)\nhsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nhsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)\nTsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\nTsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)\ntauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\ntauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)\nustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)\nhsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)\nzL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)\nustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)\n... (12 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/UPCAST_b0e2_399c_6fd2_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/UPCAST_b0e2_399c_6fd2_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/UPCAST_b0e2_399c_6fd2/index.htmlTable | http://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/9d2f74a1-a7af-4062-a4e9-bd63b904856a | http://erddap.osupytheas.fr/erddap/rss/UPCAST_b0e2_399c_6fd2.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=UPCAST_b0e2_399c_6fd2&showErrors=false&email= | MIO UMR7294 CNRS | UPCAST_b0e2_399c_6fd2 | ||
https://erddap.osupytheas.fr/erddap/tabledap/dataOSCAHR_dd2c_0f9d_b6b0.subset | https://erddap.osupytheas.fr/erddap/tabledap/dataOSCAHR_dd2c_0f9d_b6b0 | https://erddap.osupytheas.fr/erddap/tabledap/dataOSCAHR_dd2c_0f9d_b6b0.graph | https://erddap.osupytheas.fr/erddap/files/dataOSCAHR_dd2c_0f9d_b6b0/ | public | OSCAHR CRUISE SADCP Tethys data | The scientific objectives of the OSCAHR (Observing Submesoscale Coupling At High Resolution) project are to characterize a submesoscale dynamical structure and to study its influence on the distribution of biogenic elements and on the structure and dynamics of the first trophic levels associated with it\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\nREFERENCE_DATE_TIME (Date of reference julian day)\nJULD (Julian day relative to REFERENCE_DATE_TIME)\ntime (ADCP Julian day relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nJULD_j1 (Begin Ensemble Julian day relative to REFERENCE_DATE_TIME)\nJULD_j2 (End Ensemble Julian day relative to REFERENCE_DATE_TIME)\nDATE_TIME_UTC (ASCII gregorian date and time)\nCAS_DATE_FLAG (Flag on date)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nUVEL_SHIP (Eastward Sea Water Velocity At Sea Floor, meter per second)\nVVEL_SHIP (Northward Sea Water Velocity At Sea Floor, meter per second)\ndepth (Depth of bin center, m)\nTEMP_ADCP (ADCP transducer temperature, Degree_Celsius)\nHDG (Ship Heading, Degree)\nHDG_G1 (Ship Heading G1, Degree)\nHDG_G2 (Ship Heading G2, Degree)\nPTCH (Ship Pitch, Degree)\nROLL (Ship Roll, Degree)\nNB_ENS_AVE (Number of averaged pings per ensemble)\nU_BOTTOM (Bottom Track Eastward velocity, meter per second)\nV_BOTTOM (Bottom Track Northward velocity, meter per second)\nW_BOTTOM (Bottom Track Vertical velocity, meter per second)\nRNG_BOTTOM (Bottom Range, meter)\nUVEL_ADCP (Eastward Sea Water Velocity, meter per second)\n... (29 more variables)\n | https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/dataOSCAHR_dd2c_0f9d_b6b0_fgdc.xml | https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/dataOSCAHR_dd2c_0f9d_b6b0_iso19115.xml | https://erddap.osupytheas.fr/erddap/info/dataOSCAHR_dd2c_0f9d_b6b0/index.htmlTable | https://oscahr.mio.osupytheas.fr/ | http://erddap.osupytheas.fr/erddap/rss/dataOSCAHR_dd2c_0f9d_b6b0.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=dataOSCAHR_dd2c_0f9d_b6b0&showErrors=false&email= | MIO UMR 7294 CNRS / OSU Pytheas | dataOSCAHR_dd2c_0f9d_b6b0 | ||
https://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_z2 | https://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_z2.graph | https://erddap.osupytheas.fr/erddap/files/SIM7_3km_2001_2009_z2/ | public | Symphonie 3D (time, Z2, X, Y) outputs \"SIM7_3km_2001_2009\" experiment. | These simulations are performed in the framework of the LATEX project\n Project Web Site:\n http://www.mio.univ-amu.fr/LATEX\n Review Paper:\n Petrenko, A.A., Doglioli, A.M., Nencioli, F., Kersale, M., Hu, Z., d'Ovidio, F. (accepted). A review of the LATEX project: mesoscale to submesoscale processes in a coastal environment. Ocean Dynam., doi:10.1007/s10236-017-1040-9.\n\n For detailed information on the model implementation the reader is referred to:\n - Hu, Z.H., Petrenko, A.A., Doglioli, A.M., Dekeyser, I. (2011). Numerical study of eddy generation in the western part of the Gulf of Lion. J. Geophys. Res., Vol.116, C12030, doi:10.1029/2011JC007074.\n - Kersale, M., Petrenko, A.A., Doglioli, A.M., Dekeyser, I., Nencioli, F. (2013). Physical characteristics and dynamics of the coastal Latex09 Eddy derived from in situ data and numerical modeling. J. Geophys. Res., Vol.118, pp.1-11, doi:10.1029/2012JC008229\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][Z2][Y][X]):\nW (Upward Sea Water)\nECT (eddy kinetic energy, m2/s2)\nDIFV (vertical diffusivity, m2/s)\n | https://erddap.osupytheas.fr/erddap/info/SIM7_3km_2001_2009_z2/index.htmlTable | https://dx.doi.org/10.1029/2011JC007074 | http://erddap.osupytheas.fr/erddap/rss/SIM7_3km_2001_2009_z2.rss | https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=SIM7_3km_2001_2009_z2&showErrors=false&email= | MIO UMR7294 CNRS / OSU Pytheas | SIM7_3km_2001_2009_z2 |