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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_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 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 = 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/Emso_Western_Ligurian_Albatross_Microcat_CSV_2024.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2024 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_Albatross_Microcat_CSV_2024.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_Albatross_Microcat_CSV_2024/ public EMSO Western Ligurian : Albatross mooring, MICROCAT sensor (CSV 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 = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nSensor_serial_number\nSensor_Depth_Theoric\nTemp_insitu\nConductivity (Sea Water Electrical Conductivity)\nPressure\nOxygen\nDissolved_oxygen (Volume Fraction Of Oxygen In Sea Water)\ndepth (m)\nSalinity (Sea Water Practical Salinity, PSU)\nTemp_Pot\nO2_saturation\nSigmaTheta (Sea Water Sigma Theta)\n https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_Albatross_Microcat_CSV_2024/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_Albatross_Microcat_CSV_2024.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_Albatross_Microcat_CSV_2024&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_Albatross_Microcat_CSV_2024
https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017.subset https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017 https://erddap.osupytheas.fr/erddap/tabledap/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017.graph https://erddap.osupytheas.fr/erddap/files/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017/ public EMSO Western Ligurian : MII, CSTAR 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)\nrefCount (ref Count, 1)\nrefCount_QC (refCount quality flag)\nsignalCount (signal Count, 1)\nsignalCount_QC (signalCount quality flag)\n... (6 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017/index.htmlTable http://www.emso-fr.org/EMSO-France (external link) http://erddap.osupytheas.fr/erddap/rss/Emso_Western_Ligurian_MII_Cstar_NetCDF_2017.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Emso_Western_Ligurian_MII_Cstar_NetCDF_2017&showErrors=false&email= MIO UMR 7294 CNRS / OSU Pytheas Emso_Western_Ligurian_MII_Cstar_NetCDF_2017
https://erddap.osupytheas.fr/erddap/tabledap/GL_TV_HF_HFR-MedTln.subset https://erddap.osupytheas.fr/erddap/tabledap/GL_TV_HF_HFR-MedTln https://erddap.osupytheas.fr/erddap/tabledap/GL_TV_HF_HFR-MedTln.graph https://erddap.osupytheas.fr/erddap/files/GL_TV_HF_HFR-MedTln/ public HF radar - reprocessed data - Global Ocean, near-surface zonal and meridional velocities Global Ocean - near-surface zonal and meridional raw velocities measured by High Frequency radars. Hourly High Frequency Radar (HFR) surface current data (ocean surface vel\nocity) from 2 different stations located on the French Mediterranean coast (Toulon), reprocessed.\n\ncdm_data_type = Grid\nVARIABLES:\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ncrs\nSDN_CRUISE (Grid grouping label)\nSDN_STATION (Grid label)\nSDN_LOCAL_CDI_ID (SeaDataNet CDI identifier)\nSDN_REFERENCES (Usage metadata reference)\ndepth (m)\nEWCT (West-east current component, m s-1)\nNSCT (South-north current component, m s-1)\nUACC (Accuracy of surface eastward sea water velocity, m s-1)\nVACC (Accuracy of surface northward sea water velocity, m s-1)\nGDOP (Geometrical dilution of precision, 1)\nTIME_QC (Time quality flag, 1)\nPOSITION_QC (Position quality flag, 1)\nDEPH_QC (Depth quality flag, 1)\nQCflag (Overall quality flag, 1)\nVART_QC (Variance threshold quality flag, 1)\nGDOP_QC (GDOP threshold quality flag, 1)\nDDNS_QC (Data density threshold quality flag, 1)\nCSPD_QC (Velocity threshold quality flag, 1)\nNARX (Number of receive antennas, 1)\nNATX (Number of transmit antennas, 1)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/GL_TV_HF_HFR-MedTln_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/GL_TV_HF_HFR-MedTln_iso19115.xml https://erddap.osupytheas.fr/erddap/info/GL_TV_HF_HFR-MedTln/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/GL_TV_HF_HFR-MedTln-Total-reprocessed (external link) http://erddap.osupytheas.fr/erddap/rss/GL_TV_HF_HFR-MedTln.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=GL_TV_HF_HFR-MedTln&showErrors=false&email= MIO UMR 7294 CNRS - Marseille GL_TV_HF_HFR-MedTln
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/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/NDACC_2017_40c1_6fe7_88fe.subset https://erddap.osupytheas.fr/erddap/tabledap/NDACC_2017_40c1_6fe7_88fe https://erddap.osupytheas.fr/erddap/tabledap/NDACC_2017_40c1_6fe7_88fe.graph https://erddap.osupytheas.fr/erddap/files/NDACC_2017_40c1_6fe7_88fe/ public NDACC 2017 netcdf files (Network for Detection of Atmospheric Composition Change) reseau international de surveillance sur le long terme de la stratosphere et de la haute troposphere cree en 1991. Il a pour objectifs la detection des changements de composition chimique et de temperature d'origine naturelle ou anthropique ainsi que l'etude des interactions entre chimie et climat, et la validation sur le long terme des observations des memes parametres par les nombreux satellites mis en orbite depuis lors. Les activites francaises composent le Service d'Observation NDACC-France du CNRS /INSU coordonne au niveau national par l'Observatoire de l'universite de Versailles Saint-Quentin\n\ncdm_data_type = Other\nVARIABLES:\naltitude (m)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_COMBINED_STANDARD (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_RANDOM_STANDARD (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_SYSTEMATIC_STANDARD (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_IMPULSE_RESPONSE_FWHM (m)\nO3_MIXING_RATIO_VOLUME_DERIVED (ppmv)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_COMBINED_STANDARD (ppmv)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_RANDOM_STANDARD (ppmv)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_SYSTEMATIC_STANDARD (ppmv)\nPRESSURE_INDEPENDENT (hPa)\nTEMPERATURE_INDEPENDENT (K)\nPRESSURE_INDEPENDENT_SOURCE\nTEMPERATURE_INDEPENDENT_SOURCE\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_CUTOFF (m)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_ORIGINATOR (m)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_ORIGINATOR (molec m-3)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_ORIGINATOR (ppmv)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_NORMALIZED_FREQUENCY (1)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_TRANSFER_FUNCTION (1)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DISTANCE_FROM_IMPULSE (1)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_IMPULSE_RESPONSE (1)\n https://erddap.osupytheas.fr/erddap/info/NDACC_2017_40c1_6fe7_88fe/index.htmlTable http://www.insu.cnrs.fr/en/node/1240 (external link) http://erddap.osupytheas.fr/erddap/rss/NDACC_2017_40c1_6fe7_88fe.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=NDACC_2017_40c1_6fe7_88fe&showErrors=false&email= OSU PYTHEAS - Observatoire Haute Provence - Institut Pierre-Simon Laplace NDACC_2017_40c1_6fe7_88fe
https://erddap.osupytheas.fr/erddap/tabledap/NDACC_2018_f1a2_608f_01f2.subset https://erddap.osupytheas.fr/erddap/tabledap/NDACC_2018_f1a2_608f_01f2 https://erddap.osupytheas.fr/erddap/tabledap/NDACC_2018_f1a2_608f_01f2.graph https://erddap.osupytheas.fr/erddap/files/NDACC_2018_f1a2_608f_01f2/ public NDACC 2018 (Network for Detection of Atmospheric Composition Change) reseau international de surveillance sur le long terme de la stratosphere et de la haute troposphere cree en 1991. Il a pour objectifs la detection des changements de composition chimique et de temperature d'origine naturelle ou anthropique ainsi que l'etude des interactions entre chimie et climat, et la validation sur le long terme des observations des memes parametres par les nombreux satellites mis en orbite depuis lors. Les activites francaises composent le Service d'Observation NDACC-France du CNRS /INSU coordonne au niveau national par l'Observatoire de l'universite de Versailles Saint-Quentin\n\ncdm_data_type = Other\nVARIABLES:\naltitude (m)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_COMBINED_STANDARD (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_RANDOM_STANDARD (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_SYSTEMATIC_STANDARD (molec m-3)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_IMPULSE_RESPONSE_FWHM (m)\nO3_MIXING_RATIO_VOLUME_DERIVED (ppmv)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_COMBINED_STANDARD (ppmv)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_RANDOM_STANDARD (ppmv)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_SYSTEMATIC_STANDARD (ppmv)\nPRESSURE_INDEPENDENT (hPa)\nTEMPERATURE_INDEPENDENT (K)\nPRESSURE_INDEPENDENT_SOURCE\nTEMPERATURE_INDEPENDENT_SOURCE\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_CUTOFF (m)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_ORIGINATOR (m)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_UNCERTAINTY_ORIGINATOR (molec m-3)\nO3_MIXING_RATIO_VOLUME_DERIVED_UNCERTAINTY_ORIGINATOR (ppmv)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_NORMALIZED_FREQUENCY (1)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DF_TRANSFER_FUNCTION (1)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_DISTANCE_FROM_IMPULSE (1)\nO3_NUMBER_DENSITY_ABSORPTION_DIFFERENTIAL_RESOLUTION_ALTITUDE_IMPULSE_RESPONSE (1)\n https://erddap.osupytheas.fr/erddap/info/NDACC_2018_f1a2_608f_01f2/index.htmlTable http://www.insu.cnrs.fr/en/node/1240 (external link) http://erddap.osupytheas.fr/erddap/rss/NDACC_2018_f1a2_608f_01f2.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=NDACC_2018_f1a2_608f_01f2&showErrors=false&email= OSU PYTHEAS - Observatoire Haute Provence - Institut Pierre-Simon Laplace NDACC_2018_f1a2_608f_01f2
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_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 (external link) 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 (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/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/ (external link) 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/tabledap/SOOT_SEA_Netcdf_5228.subset https://erddap.osupytheas.fr/erddap/tabledap/SOOT_SEA_Netcdf_5228 https://erddap.osupytheas.fr/erddap/tabledap/SOOT_SEA_Netcdf_5228.graph https://erddap.osupytheas.fr/erddap/files/SOOT_SEA_Netcdf_5228/ public SOOT-SEA : Impact of Black Carbon in South East Asia 2019-2020 (NetCDF file) Study carried out during a complete annual cycle (weekly frequency). Aerosols were sampled for 24 hours using a large volume PM2.5 collector. Samples collected on quartz filters were analyzed to determine the concentrations of: - organic carbon (OC) and - elemental carbon (EC), - organic nitrogen (ON), - metals (Hg, Al, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Ag, Cd, Sn, Sb, Cs, Ce, Nd, Pb, U), - Pb isotopes, - PAHs, sugars, ions, organic acids, humic-like substances (HULIS).The oxidizing potential (OP) of these particles was determined using the DTT (Dithiotreithol) method.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation_name\nSample (count)\nlatitude (degree, degrees_north)\nlongitude (degree, degrees_east)\ntime (datetime, seconds since 1970-01-01T00:00:00Z)\nCycle (hour, hour)\nVolume_filtered (m3)\nAl (Aluminium, ug.m-3)\nTi (Titane, ug.m-3)\nV (Vanadium, ug.m-3)\nCr (Chrome, ug.m-3)\nMn (Manganese, ug.m-3)\nFe (Fer, ug.m-3)\nCo (Cobalt, ug.m-3)\nNi (Nickel, ug.m-3)\nCu (Cuivre, ug.m-3)\nZn (Zinc, ug.m-3)\nAs (Arsenic, ug.m-3)\nAg (Argent, ug.m-3)\nCd (Cadmium, ug.m-3)\nSn (Etain, ug.m-3)\nSb (Antimoine, ug.m-3)\n... (87 more variables)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/SOOT_SEA_Netcdf_5228_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/SOOT_SEA_Netcdf_5228_iso19115.xml https://erddap.osupytheas.fr/erddap/info/SOOT_SEA_Netcdf_5228/index.htmlTable https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/858fce6b-a882-43c0-b5d0-81e80efa7a1c (external link) http://erddap.osupytheas.fr/erddap/rss/SOOT_SEA_Netcdf_5228.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=SOOT_SEA_Netcdf_5228&showErrors=false&email= MIO UMR 7294 CNRS SOOT_SEA_Netcdf_5228
https://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_mesh2d https://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_mesh2d.graph https://erddap.osupytheas.fr/erddap/files/SIM7_3km_2001_2009_mesh2d/ public Symphonie 2D (X, Y) mesh file \"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 [Y][X]):\nbathy_m (bathymetry, m)\nlat (latitude, degrees_north)\nlat2 (latitude2, degrees_north)\nlat3 (latitude3, degrees_north)\nlon (longitude, degrees_east)\nlon2 (longitude2, degrees_east)\nlon3 (longitude3, degrees_east)\nmask_m (mask, m)\nnbniv (Number of levels type 1)\n https://erddap.osupytheas.fr/erddap/info/SIM7_3km_2001_2009_mesh2d/index.htmlTable https://dx.doi.org/10.1029/2011JC007074 (external link) http://erddap.osupytheas.fr/erddap/rss/SIM7_3km_2001_2009_mesh2d.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=SIM7_3km_2001_2009_mesh2d&showErrors=false&email= MIO UMR7294 CNRS / OSU Pytheas SIM7_3km_2001_2009_mesh2d
https://erddap.osupytheas.fr/erddap/tabledap/Ragas_Arfib_0a71_cf9c_8d81.subset https://erddap.osupytheas.fr/erddap/tabledap/Ragas_Arfib_0a71_cf9c_8d81 https://erddap.osupytheas.fr/erddap/tabledap/Ragas_Arfib_0a71_cf9c_8d81.graph https://erddap.osupytheas.fr/erddap/files/Ragas_Arfib_0a71_cf9c_8d81/ public Vallee du Las (Toulon), eau souterraine Vallee du Las (Toulon) - eau souterraine. projets de recherche KarstEAU et Dardennes, toutes les sources de la vallee du Las sont instrumentees entre les sources amont et la mer : Gouffre du Ragas, source de la retenue de Dardennes\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDardennes_Reservoir_Water_level_elevation (Dardennes Reservoir Water Level Elevation (m Asl) Daily Average)\nRagas_karst_Water_level_elevation (Ragas Karst Water Level Elevation (m Asl) Daily Average)\nRagas_karst_Water_Temperature (Ragas Karst Water Temperature (degree C) Daily Average)\nSaint_Antoine_spring_Discharge (Saint Antoine Spring Discharge (m3/s) Daily Average)\n https://erddap.osupytheas.fr/erddap/metadata/fgdc/xml/Ragas_Arfib_0a71_cf9c_8d81_fgdc.xml https://erddap.osupytheas.fr/erddap/metadata/iso19115/xml/Ragas_Arfib_0a71_cf9c_8d81_iso19115.xml https://erddap.osupytheas.fr/erddap/info/Ragas_Arfib_0a71_cf9c_8d81/index.htmlTable http://www.karsteau.fr/ (external link) http://erddap.osupytheas.fr/erddap/rss/Ragas_Arfib_0a71_cf9c_8d81.rss https://erddap.osupytheas.fr/erddap/subscriptions/add.html?datasetID=Ragas_Arfib_0a71_cf9c_8d81&showErrors=false&email= CEREGE UMR 7330 CNRS Ragas_Arfib_0a71_cf9c_8d81

 
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