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griddap Subset tabledap Make A Graph wms files Accessible Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.osupytheas.fr/erddap/tabledap/EMSO_Marmara_RCM_Maregami2.subset https://erddap.osupytheas.fr/erddap/tabledap/EMSO_Marmara_RCM_Maregami2 https://erddap.osupytheas.fr/erddap/tabledap/EMSO_Marmara_RCM_Maregami2.graph https://erddap.osupytheas.fr/erddap/files/EMSO_Marmara_RCM_Maregami2/ public EMSO / MAREGAMI Marmara BPR2 station Lat:40.7934 Long:29.0312 Depth:1225m, Seaguard RCM data Seaguard RCM: Time series acquired with Seaguard RCM #155, sensors: DCS #146, Conductivity #788, Tide (P,T) #393\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nnorthward_seawater_velocity (m.s-1)\neastward_seawater_velocity (m.s-1)\nInstrument_heading_Deg (degree)\nTilt_X_Deg (degree)\nTilt_Y_Deg (degree)\nSingle_ping_Std_cm_s_1 (cm.s-1)\nSignal_Strength_dB (dB)\nsea_water_electrical_conductivity (S.m-1)\nsea_water_temperature (degree_C)\nsea_water_pressure (dbar)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/EMSO_Marmara_RCM_Maregami2_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/EMSO_Marmara_RCM_Maregami2_iso19115.xml https://erddap.osupytheas.fr/erddap/info/EMSO_Marmara_RCM_Maregami2/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/EMSO_Marmara_RCM_Maregami2.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=EMSO_Marmara_RCM_Maregami2&showErrors=false&email= CEREGE UMR 7330 CNRS EMSO_Marmara_RCM_Maregami2
https://erddap.osupytheas.fr/erddap/tabledap/EMSO_Marmara_RCM_Maregami3.subset https://erddap.osupytheas.fr/erddap/tabledap/EMSO_Marmara_RCM_Maregami3 https://erddap.osupytheas.fr/erddap/tabledap/EMSO_Marmara_RCM_Maregami3.graph https://erddap.osupytheas.fr/erddap/files/EMSO_Marmara_RCM_Maregami3/ public EMSO / MAREGAMI Marmara BPR3 station Lat:40.8568, Long:28.1523, Depth:1184m Seaguard RCM data Seaguard RCM: Time series acquired with Seaguard RCM #155, sensors: DCS #146, Conductivity #788, Tide (P,T) #393\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nnorthward_seawater_velocity (m.s-1)\neastward_seawater_velocity (m.s-1)\nInstrument_heading_Deg (degree)\nTilt_X_Deg (degree)\nTilt_Y_Deg (degree)\nStd_Tilt_Deg (degree)\nSingle_ping_Std_cm_s_1 (cm.s-1)\nSignal_Strength_dB (Signal Strength D B, dB)\nsea_water_temperature (degree_C)\nsea_water_pressure (dbar)\nmole_concentration_of_dissolved_molecular_oxygen_in_sea_water (mol.m-3)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/EMSO_Marmara_RCM_Maregami3_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/EMSO_Marmara_RCM_Maregami3_iso19115.xml https://erddap.osupytheas.fr/erddap/info/EMSO_Marmara_RCM_Maregami3/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/EMSO_Marmara_RCM_Maregami3.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=EMSO_Marmara_RCM_Maregami3&showErrors=false&email= CEREGE UMR 7330 CNRS EMSO_Marmara_RCM_Maregami3
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014/ public EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (CSV 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nDEPH\nX_East\nY_North\nZ_Up\nAmplitude_X\nAmplitude_Y\nAmplitude_Z\nBattery\nSVEL\n... (7 more variables)\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2014
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015/ public EMSO Western Ligurian : Albatross mooring, AQUADOPP sensor (CSV 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nID\nDEPH\nPRES (Pressure)\nTEMP (Temperature)\nX_East\nY_North\nZ_Up\nSVEL\nHeading\n... (4 more variables)\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Aquadopp_CSV_2015
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2014.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2014 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2014.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_CSV_2014/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nID\nDEPH\nPRES (Pressure)\nTEMP (Temperature)\nCNDC\nDOX1\nTPOT\nDOX2\nPSAL\nDENS\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_CSV_2014/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_CSV_2014.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_CSV_2014&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_CSV_2014
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2015.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2015 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2015.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_CSV_2015/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nID\nDEPH\nPRES (Pressure)\nTEMP (Temperature)\nCNDC\nDOX1\nTPOT\nDOX2\nPSAL\nDENS\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_CSV_2015/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_CSV_2015.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_CSV_2015&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_CSV_2015
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2016.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2016 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2016.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_CSV_2016/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nTIME_QC\nDEPH\nCNDC\nCNDC_QC\nPRES (Pressure)\nPRES_QC\nTEMP (Temperature)\nTEMP_QC\nTPOT\n... (6 more variables)\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_CSV_2016/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_CSV_2016.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_CSV_2016&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_CSV_2016
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2018.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2018 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2018.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_CSV_2018/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nTIME_QC\nCNDC\nDEPH\nCNDC_QC\nPRES (Pressure)\nDENS\nDENS_QC\nPRES_QC\nTEMP (Temperature)\n... (8 more variables)\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_CSV_2018/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_CSV_2018.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_CSV_2018&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_CSV_2018
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2019.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2019 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2019.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_CSV_2019/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 2019-2020) 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nSensor_serial_number\nDEPH\nTEMP (Temperature)\nCNDC\nPRES (Pressure)\nDOX1\nPSAL\nTPOT\nOSAT\nDENS\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_CSV_2019/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_CSV_2019.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_CSV_2019&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_CSV_2019
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2021.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2021 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2021.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_CSV_2021/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV files from 2021-07) 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nSensor_serial_number\nDEPH\nTEMP (Temperature)\nCNDC\nPRES (Pressure)\nDOX1\nDOX2\nPSAL\nTPOT\nOSAT\nDENS\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_CSV_2021/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_CSV_2021.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_CSV_2021&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_CSV_2021
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 (external link) 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/griddap/DINEOF_59f6_b797_92a2 https://erddap.osupytheas.fr/erddap/griddap/DINEOF_59f6_b797_92a2.graph https://erddap.osupytheas.fr/erddap/wms/DINEOF_59f6_b797_92a2/request https://erddap.osupytheas.fr/erddap/files/DINEOF_59f6_b797_92a2/ public HF radar daily averaged sea surface current filterd by dineof Daily High Frequency Radar (HFR) surface current data (radial velocity files and total velocity file) from 2 different stations located on the French Mediterranean coast (Toulon), spanning from January 2012 to December 2019. The radial datasets have been processed to remove outliers. Then the gaps in the data have been filled using the DINEOF algorithm. The total velocity is then reconstructed from the filled radial velocity files, and projected onto a cartesian grid of 1kmx1km.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nEWCT (West-east current component, m s-1)\nNSCT (South-north current component, m s-1)\nQCflag (Overall Quality Flags, 1)\nGDOP (Geometrical Dilution Of Precision, 1)\nPOSITION_QC (Position Quality Flag, 1)\nGDOP_QC (GDOP Threshold Quality Flags, 1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/DINEOF_59f6_b797_92a2_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/DINEOF_59f6_b797_92a2_iso19115.xml https://erddap.osupytheas.fr/erddap/info/DINEOF_59f6_b797_92a2/index.htmlTable http://hfradar.univ-tln.fr/HFRADAR/squel.php?content=accueil (external link) http://erddap.osupytheas.fr/erddap/rss/DINEOF_59f6_b797_92a2.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=DINEOF_59f6_b797_92a2&showErrors=false&email= Mediterranean Institute of Oceanography DINEOF_59f6_b797_92a2
https://erddap.osupytheas.fr/erddap/griddap/HFradar_Daily_May2012_Sept2014 https://erddap.osupytheas.fr/erddap/griddap/HFradar_Daily_May2012_Sept2014.graph https://erddap.osupytheas.fr/erddap/wms/HFradar_Daily_May2012_Sept2014/request https://erddap.osupytheas.fr/erddap/files/HFradar_Daily_May2012_Sept2014/ public HF radar daily averaged surface currents from the MOOSE MEDTLN sites (Toulon area) over the May 2012 to September 2014 period. The dataset consists of daily averaged surface currents computed from High Frequency (HF) radar hourly total velocity (Quality Control (QC) level L3b) with additional QC tests as described in the comment attribute below.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nEWCT (Daily averaged surface eastward sea water velocity, m/s)\nNSCT (Daily averaged surface northward sea water velocity, m/s)\nEWCS (Daily standard deviation of EWCT, m/s)\nNSCS (Daily standard deviation of NSCT, m/s)\nQC_EWCT (Daily averaged QC for EWCT)\nQC_NSCT (Daily averaged QC for NSCT)\nN_EWCT (Number of hourly EWCT values over the 25h centered time averaging window)\nN_NSCT (Number of hourly NSCT values over the 25h centered time averaging window)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/HFradar_Daily_May2012_Sept2014_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/HFradar_Daily_May2012_Sept2014_iso19115.xml https://erddap.osupytheas.fr/erddap/info/HFradar_Daily_May2012_Sept2014/index.htmlTable http://hfradar.univ-tln.fr/HFRADAR/squel.php?content=accueil (external link) http://erddap.osupytheas.fr/erddap/rss/HFradar_Daily_May2012_Sept2014.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=HFradar_Daily_May2012_Sept2014&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas HFradar_Daily_May2012_Sept2014
https://erddap.osupytheas.fr/erddap/griddap/cmems_nc_cf0e_c84a_8ead https://erddap.osupytheas.fr/erddap/griddap/cmems_nc_cf0e_c84a_8ead.graph https://erddap.osupytheas.fr/erddap/wms/cmems_nc_cf0e_c84a_8ead/request https://erddap.osupytheas.fr/erddap/files/cmems_nc_cf0e_c84a_8ead/ public HF radar data hourly processed in real-time of the Surface Ocean Velocity in MedSea Sea surface currents recorded by High Frequency (HF) radar in the north-western Mediterranean Sea. The network has been in situ on the French Riviera since 2012 and is operated by MIO - the Mediterranean Institute of Oceanography (UMR Aix Marseille Universite, CNRS, IRD, Universite de Toulon).\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nEWCT (West-east current component, m s-1)\nNSCT (South-north current component, m s-1)\nEWCS (Standard Deviation of Surface Eastward Sea Water Velocity, m s-1)\nNSCS (Standard Deviation of Surface Northward Sea Water Velocity, m s-1)\nGDOP (Geometrical Dilution Of Precision, 1)\nPOSITION_QC (1)\nQCflag (1)\nVART_QC (1)\nGDOP_QC (1)\nDDNS_QC (1)\nCSPD_QC (1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/cmems_nc_cf0e_c84a_8ead_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/cmems_nc_cf0e_c84a_8ead_iso19115.xml https://erddap.osupytheas.fr/erddap/info/cmems_nc_cf0e_c84a_8ead/index.htmlTable https://erddap.osupytheas.fr http://erddap.osupytheas.fr/erddap/rss/cmems_nc_cf0e_c84a_8ead.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=cmems_nc_cf0e_c84a_8ead&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas cmems_nc_cf0e_c84a_8ead
https://erddap.osupytheas.fr/erddap/griddap/HFradar_MonthlyAveraged_May2012_Sept2014 https://erddap.osupytheas.fr/erddap/griddap/HFradar_MonthlyAveraged_May2012_Sept2014.graph https://erddap.osupytheas.fr/erddap/wms/HFradar_MonthlyAveraged_May2012_Sept2014/request https://erddap.osupytheas.fr/erddap/files/HFradar_MonthlyAveraged_May2012_Sept2014/ public HF radar monthly Near Real Time Surface Ocean Velocity by MedSea (Toulon area) 2012-2019 The  dataset  consists  of  maps  of  total velocity of the surface current in the Meditarranean Sea in the area of Toulon averaged  over  a time interval of 1 hour starting from the cardinal hour.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nEWCT (West-east current component, m s-1)\nNSCT (South-north current component, m s-1)\nEKE (Eddy Kinetical Energy, m2 s-2)\nEWCS (Standard Deviation of Surface Eastward Sea Water Velocity, m s-1)\nNSCS (Standard Deviation of Surface Northward Sea Water Velocity, m s-1)\nGDOP (Geometrical Dilution Of Precision, 1)\nPOSITION_QC (Position Quality Flags, 1)\nQCflag (Overall Quality Flags, 1)\nVART_QC (Variance Threshold Quality Flags, 1)\nGDOP_QC (GDOP Threshold Quality Flags, 1)\nDDNS_QC (Data Density Threshold Quality Flags, 1)\nCSPD_QC (Velocity Threshold Quality Flags, 1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/HFradar_MonthlyAveraged_May2012_Sept2014_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/HFradar_MonthlyAveraged_May2012_Sept2014_iso19115.xml https://erddap.osupytheas.fr/erddap/info/HFradar_MonthlyAveraged_May2012_Sept2014/index.htmlTable http://hfradar.univ-tln.fr/HFRADAR/squel.php?content=Historique.php (external link) http://erddap.osupytheas.fr/erddap/rss/HFradar_MonthlyAveraged_May2012_Sept2014.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=HFradar_MonthlyAveraged_May2012_Sept2014&showErrors=false&email= MIO UMR7294 CNRS HFradar_MonthlyAveraged_May2012_Sept2014
https://erddap.osupytheas.fr/erddap/tabledap/lastDay_cf2a_1330_42fa.subset https://erddap.osupytheas.fr/erddap/tabledap/lastDay_cf2a_1330_42fa https://erddap.osupytheas.fr/erddap/tabledap/lastDay_cf2a_1330_42fa.graph https://erddap.osupytheas.fr/erddap/files/lastDay_cf2a_1330_42fa/ public HTMNET: Hydrodynamique et Transport de Matieres en Suspension: Niveaux Eau et Temperature This project consists in providing original measurement data for a better understanding and modelling of interactions and couplings between coastal dynamics and coastal dynamics at bay scale (currently the area of the Toulon conurbation with a project to extend it on a larger scale along the Mediterranean coast), by developing a long-term observation system (several years)\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nstation_name\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\ntmer (SST, degree_C)\npmer (1m pressure, hPa)\ntair (Air Temperature, degree_C)\npair (Air pressure, hPa)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/lastDay_cf2a_1330_42fa_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/lastDay_cf2a_1330_42fa_iso19115.xml https://erddap.osupytheas.fr/erddap/info/lastDay_cf2a_1330_42fa/index.htmlTable https://htmnet.mio.osupytheas.fr/ (external link) http://erddap.osupytheas.fr/erddap/rss/lastDay_cf2a_1330_42fa.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=lastDay_cf2a_1330_42fa&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas lastDay_cf2a_1330_42fa
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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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 (external link) 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/griddap/laser-med_climato https://erddap.osupytheas.fr/erddap/griddap/laser-med_climato.graph https://erddap.osupytheas.fr/erddap/wms/laser-med_climato/request https://erddap.osupytheas.fr/erddap/files/laser-med_climato/ public LaSer-MED Regional Climate Projection (1985-2100) Climate Projection (1985-2100) of the mediterranean biogeochemistry provided by the CNRM-RCSM4/Eco3M-MED model under a regional RCP8.5 scenario (LaSeR-Med project)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nAMON (Ammonium (NH4-N) content, umol/l)\nNTRA (Nitrate (NO3-N) content, umol/l)\nPHOS (Phosphate (PO4-P) content, umol/l)\nCHLT (Chlorophyll total, mg/m3)\nPAR (Photosynthetically Available Radiation, W/m^2)\nHBAC (Mole concentration of heterotrophic bacteria expressed as carbon in sea water, mol/m^3)\nHBAN (Mole concentration of heterotrophic bacteria expressed as nitrogen in sea water, mol/m^3)\nHBAP (Mole concentration of heterotrophic bacteria expressed as phosphorus in sea water, mol/m^3)\nHBAW (Nb Of Heterotrophic Bacteria, nb/ml)\nCIMC (Mole concentration of microzooplankton expressed as carbon in sea water, mol/m^3)\nCICW (Number of seawater ciliates, nb/l)\nCIMN (Mole concentration of microzooplankton expressed as nitrogen in sea water, mol/m^3)\nCIMP (Mole concentration of microzooplankton expressed as phophorus in sea water, mol/m^3)\nTotMeszMassC (Biomass as carbon of mesozooplankton, mg/m^3)\nCOPP (Number of copepods, nb/m^3)\nNFHC (Mole concentration of heterotrophic nanoflagellates expressed as carbon in sea water, mol/m^3)\nNFHW (Number of heterotrophic nanoflagellates, nb/l)\nNFHN (Mole concentration of heterotrophic nanoflagellates expressed as nitrogen in sea water, mol/m^3)\nNFHP (Mole concentration of heterotrophic nanoflagellatesexpressed as phosphorus in sea water, mol/m^3)\nLPHC (Mole concentration of large phytoplankton expressed as carbon in sea water, mol/m^3)\nLPHCW (Large phytoplankton abundance, nb/l)\nLPHCHL (Mole concentration of large phytoplankton expressed as chlorophyl in sea water, mol/m^3)\nLPHN (Mole concentration of large phytoplankton expressed as nitrogen in sea water, mol/m^3)\nLPHP (Mole concentration of large phytoplankton expressed as phosphorus in sea water, mol/m^3)\nSPHC (Mole concentration of small phytoplankton expressed as carbon in sea water, mol/m^3)\nSPHCW (Small phytoplankton abundance, nb/ml)\n... (7 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/laser-med_climato_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/laser-med_climato_iso19115.xml https://erddap.osupytheas.fr/erddap/info/laser-med_climato/index.htmlTable ??? http://erddap.osupytheas.fr/erddap/rss/laser-med_climato.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=laser-med_climato&showErrors=false&email= MIO UMR7294 CNRS, Marseille laser-med_climato
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 (external link) 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 (external link) 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_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 (external link) 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 (external link) 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 (external link) 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 (external link) 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/griddap/SIM7_3km_2001_2009_2d https://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_2d.graph https://erddap.osupytheas.fr/erddap/files/SIM7_3km_2001_2009_2d/ public Symphonie 2D (time, 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][Y][X]):\nVBARavg (mean yward velocity avg, m/s)\nUBARinst (mean xward velocity instant, m/s)\nVBARinst (mean yward velocity instant, m/s)\nsurfelev (surface elevation, m)\nUBARavg (mean xward velocity avg, m/s)\n https://erddap.osupytheas.fr/erddap/info/SIM7_3km_2001_2009_2d/index.htmlTable https://dx.doi.org/10.1029/2011JC007074 (external link) http://erddap.osupytheas.fr/erddap/rss/SIM7_3km_2001_2009_2d.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=SIM7_3km_2001_2009_2d&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas SIM7_3km_2001_2009_2d
https://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_z1 https://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_z1.graph https://erddap.osupytheas.fr/erddap/files/SIM7_3km_2001_2009_z1/ public Symphonie 3D (time, Z1, 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][Z1][Y][X]):\nDIFH_oi (horizontal diffusivity oi, m2/s)\nDIFH_oj (horizontal diffusivity oj, m2/s)\nRHO (sea water density, kg/m3)\nSavg (sea water salinity_avg, PSU)\nSinst (sea water salinity_instant, PSU)\nTavg (sea water temperature_avg, C)\nTinst (sea water temperature_instant, C)\nUavg (xward seawater velocity avg, m/s)\nUinst (xward seawater velocity inst, m/s)\nVavg (yward seawater velocity avg, m/s)\nVinst (yward seawater velocity inst, m/s)\n https://erddap.osupytheas.fr/erddap/info/SIM7_3km_2001_2009_z1/index.htmlTable https://dx.doi.org/10.1029/2011JC007074 (external link) http://erddap.osupytheas.fr/erddap/rss/SIM7_3km_2001_2009_z1.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=SIM7_3km_2001_2009_z1&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas SIM7_3km_2001_2009_z1
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 (external link) 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

 
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