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)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
AMON (Ammonium (NH4-N) content, umol/l)
NTRA (Nitrate (NO3-N) content, umol/l)
PHOS (Phosphate (PO4-P) content, umol/l)
CHLT (Chlorophyll total, mg/m3)
PAR (Photosynthetically Available Radiation, W/m^2)
HBAC (Mole concentration of heterotrophic bacteria expressed as carbon in sea water, mol/m^3)
HBAN (Mole concentration of heterotrophic bacteria expressed as nitrogen in sea water, mol/m^3)
HBAP (Mole concentration of heterotrophic bacteria expressed as phosphorus in sea water, mol/m^3)
HBAW (Nb Of Heterotrophic Bacteria, nb/ml)
CIMC (Mole concentration of microzooplankton expressed as carbon in sea water, mol/m^3)
CICW (Number of seawater ciliates, nb/l)
CIMN (Mole concentration of microzooplankton expressed as nitrogen in sea water, mol/m^3)
CIMP (Mole concentration of microzooplankton expressed as phophorus in sea water, mol/m^3)
TotMeszMassC (Biomass as carbon of mesozooplankton, mg/m^3)
COPP (Number of copepods, nb/m^3)
NFHC (Mole concentration of heterotrophic nanoflagellates expressed as carbon in sea water, mol/m^3)
NFHW (Number of heterotrophic nanoflagellates, nb/l)
NFHN (Mole concentration of heterotrophic nanoflagellates expressed as nitrogen in sea water, mol/m^3)
NFHP (Mole concentration of heterotrophic nanoflagellatesexpressed as phosphorus in sea water, mol/m^3)
LPHC (Mole concentration of large phytoplankton expressed as carbon in sea water, mol/m^3)
LPHCW (Large phytoplankton abundance, nb/l)
LPHCHL (Mole concentration of large phytoplankton expressed as chlorophyl in sea water, mol/m^3)
LPHN (Mole concentration of large phytoplankton expressed as nitrogen in sea water, mol/m^3)
LPHP (Mole concentration of large phytoplankton expressed as phosphorus in sea water, mol/m^3)
SPHC (Mole concentration of small phytoplankton expressed as carbon in sea water, mol/m^3)
SPHCW (Small phytoplankton abundance, nb/ml)
... (7 more variables)


The scientific objectives of the project MAUPITI HOE are to understand the hydrodynamics of an archetypal reef-lagoon system of a high volcanic reef island. The physical functioning of the hydrosystem involves a fine coupling between water levels, waves (including wind, infragravity and VLF waves), currents and seabed structure (reef roughness). The present data focuses on the reef barrier dynamics

cdm_data_type = TimeSeries
VARIABLES:
station_id
time (Datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
sea_surface_swell_wave_significant_height (meter)
sea_surface_infragravity_waves_significant_height (Sea Surface Wave Significant Height, meter)
surface_elevation


The scientific objectives of the project MAUPITI HOE are to understand the hydrodynamics of an archetypal reef-lagoon system of a high volcanic reef island. The physical functioning of the hydrosystem involves a fine coupling between water levels, waves (including wind, infragravity and VLF waves), currents and seabed structure (reef roughness). The present data focuses on the reef barrier dynamics

cdm_data_type = TimeSeries
VARIABLES:
station_name
station_id (string)
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
sea_surface_swell_wave_significant_height (hauteur des vagues en surface, meter)
sea_surface_infragravity_waves_significant_height (hauteur des vagues en surface infragravité, meter)
altitude (Surface Elevation, m)


Meteorologie locale en baie de Marseille : Frioul (2007-2019)

Meteorological data from the Bay of Marseille based on the measurements taken on the site located on the Pomegues island

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Direction_Max (degree)
Rafale_m_s (Rafale(m/s), m.s-1)
Vitesse_moyenne_max (Vitesse Moyenne Max (m/s), m.s-1)
Direction (Direction (degree), degree)
Temperature (Temperature (degree C), degree_C)
Humidite_relative (Humidite Relative (%), %)
Rayonnement_J_cm2 (Rayonnement(J/cm2), J.cm-2)


Meteorologie locale en baie de Marseille : Frioul (from 2024-06)

Meteorological data from the Bay of Marseille based on the measurements taken on the site located on the Pomegues island (Lat 43.2744, Long 5.3072)

cdm_data_type = Point
VARIABLES:
time (Date Time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Battery (Battery [volts], volts)
Internal_Temperature (Internal Temperature [degree C], degree_C)
Air_Temperature (Air Temperature [degree C], degree_C)
Humidity (Humidity [%], percent %)
Dew_point (Dew Point [degree C], degree_C)
Wind_speed (m.s-1)
Wind_Direction (Wind From Direction, degree)
Solar_Radiation (Solar Radiation [W.m-2], W.m-2)


Meteorologie locale en baie de Marseille : site Endoume

Meteorological data from Marseille based on the measurements taken from Endoume site

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
temperature_C (Temperature[C], degrees C)
humidity (Humidity[%], %)
dew_point_C (Dew Point[C], degree C)
sealevel_pressure_hPa (Sealevel Pressure[h Pa], hPa)
avg_wind_speed_m_s (Wind Speed, m.s-1)
gust_speed_m_s (Wind Speed Of Gust, m.s-1)
winddir_degree (Wind From Direction, degree)
rainfall00 (mm)
longitude (degrees_east)
latitude (degrees_north)


Meteorologie locale site "climed" chaine de l'Etoile

Meteorological data from Marseille based on the measurements taken on "CLIMED" site chaine de l'Etoile

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Humidity (Humidity (%), percent %)
Temperature_Air (Temperature Air (degree C), degree C)
Solar_radiation (Solar Radiation (W.m^-2), W.m-2)
Wind_direction (degree)
Wind_speed (m.s-1)


Meteorological data from  Toulon France (Var)

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
Temperature (Temperature (degree C))
Humidity (Humidity (%))
Rainfall (Rainfall (6mn))
Solar_radiation (Solar Radiation (W.m^-2))
Wind_Direction (Wind From Direction)
Wind_speed
Gust_Speed (Wind Speed Of Gust)
Gust_Direction (Gust Direction (degree))
Air_pressure_at_station_level (Air Pressure)
Air_pressure_at_sea_levele (Air Pressure)
latitude (degrees_north)
longitude (degrees_east)


NEMO Eco3M daily Chl simulation by Guyennon

Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][y][x]):
Chltot


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.)

cdm_data_type = TimeSeries
VARIABLES:
time2 (Time)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
pair (Air pressure, hPa)
tair (Air Temperature, degree_C)
hur (Relative air humidity, 1)
sst (degree_C)
rho (Density of air, kg m-3)
rlds (downwelling longwave radiation flux, positive downward, W m-2)
rlus (upwelling longwave radiation flux, positive upward, W m-2)
rsds (downwelling shortwave radiation flux, positive downward, W m-2)
rsus (upwelling shortwave radiation flux, positive upward, W m-2)
wdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)
wspd (Magnitude of wind velocity with respect to ground, m s-1)
u10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)
hsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
hsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
Tsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
Tsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
tauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
tauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
ustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)
hsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)
zL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)
ustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)
... (12 more variables)


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.)

cdm_data_type = TimeSeries
VARIABLES:
time2 (Time)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
pair (Air pressure, hPa)
tair (Air Temperature, degree_C)
hur (Relative air humidity, 1)
sst (degree_C)
rho (Density of air, kg m-3)
rlds (downwelling longwave radiation flux, positive downward, W m-2)
rlus (upwelling longwave radiation flux, positive upward, W m-2)
rsds (downwelling shortwave radiation flux, positive downward, W m-2)
rsus (upwelling shortwave radiation flux, positive upward, W m-2)
wdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)
wspd (Magnitude of wind velocity with respect to ground, m s-1)
u10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)
hsw (Significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
hsw_day (daily estimate of the significant wave height, calculated as four times the square root of the integration of the vertical platform velocity, m)
Tsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
Tsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
tauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
tauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
ustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)
hsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)
zL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)
ustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)
... (12 more variables)


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.)

cdm_data_type = TimeSeries
VARIABLES:
time2 (Time)
time (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
pair (Air pressure, hPa)
tair (Air Temperature, degree_C)
hur (Relative air humidity, 1)
sst (degree_C)
rho (Density of air, kg m-3)
wdir (Direction of the wind vector with respect to ground, measured positive clockwise from due north, degrees)
wspd (Magnitude of wind velocity with respect to ground, m s-1)
u10n (Equivalent neutral wind extrapolated at a 10-m height, from eddy-covariance calculation, m s-1)
hsw (Significant wave height, calculated as four times the square root of the double integration of the vertical platform acceleration, m)
hsw_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)
Tsw (Inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
Tsw_day (Daily estimate of the inverse of the frequency at the maximum of the power spectrum of the vertical platform velocity (experimental), s)
tauu (Eastward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
tauv (Northward component of the surface wind stress vector, from eddy-covariance calculation, Pa)
ustar (Turbulent surface friction velocity, from eddy-covariance calculation, m s-1)
hsv (Turbulent surface buoyancy flux, from eddy-covariance calculation, W m-2)
zL (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from eddy-covariance calculation, 1)
ustar_bulk (Turbulent surface friction velocity, COARE 3.0 (please see header) drag parameterization adjusted to OCARINA data, m s-1)
hsv_bulk (Turbulent surface buoyancy flux, positive upward, from bulk calculation, W m-2)
hfss_bulk (Turbulent surface sensible heat flux, positive upward, from bulk calculation, W m-2)
hfls_bulk (Turbulent surface latent heat flux, positive upward, from bulk calculation, W m-2)
zL_bulk (Monin-Obukhov ratio, which quantifies surface boundary layer stability, from bulk calculation, 1)
... (8 more variables)


OCARINA BBWAVES 2016 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


OCARINA FROMVAR 2011 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


OCARINA STRASSE 2012 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


OCARINA UPCAST 2017 experiment, prototype 1, level 2 surface and air-sea turbulent fluxes


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

cdm_data_type = TrajectoryProfile
VARIABLES:
REFERENCE_DATE_TIME (Date of reference julian day)
JULD (Julian day relative to REFERENCE_DATE_TIME)
time (ADCP Julian day relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)
JULD_j1 (Begin Ensemble Julian day relative to REFERENCE_DATE_TIME)
JULD_j2 (End Ensemble Julian day relative to REFERENCE_DATE_TIME)
DATE_TIME_UTC (ASCII gregorian date and time)
CAS_DATE_FLAG (Flag on date)
latitude (Latitude of each location, degrees_north)
longitude (Longitude of each location, degrees_east)
UVEL_SHIP (Eastward Sea Water Velocity At Sea Floor, meter per second)
VVEL_SHIP (Northward Sea Water Velocity At Sea Floor, meter per second)
depth (Depth of bin center, m)
TEMP_ADCP (ADCP transducer temperature, Degree_Celsius)
HDG (Ship Heading, Degree)
HDG_G1 (Ship Heading G1, Degree)
HDG_G2 (Ship Heading G2, Degree)
PTCH (Ship Pitch, Degree)
ROLL (Ship Roll, Degree)
NB_ENS_AVE (Number of averaged pings per ensemble)
U_BOTTOM (Bottom Track Eastward velocity, meter per second)
V_BOTTOM (Bottom Track Northward velocity, meter per second)
W_BOTTOM (Bottom Track Vertical velocity, meter per second)
RNG_BOTTOM (Bottom Range, meter)
UVEL_ADCP (Eastward Sea Water Velocity, meter per second)
... (29 more variables)


Rhone : Suivi des eaux du panache du Rhone en zone cotiere (CSV files)

Suivi des eaux du Rhone en zone cotiere par mesure haute frequence de la temperature et de la salinite de surface

cdm_data_type = TimeSeries
VARIABLES:
Station
latitude (degrees_north)
longitude (degrees_east)
time (DateTime, seconds since 1970-01-01T00:00:00Z)
Temperature (degree_C)
Salinite (PSU)


Rhone : Suivi des eaux du panache du Rhone en zone cotiere (Netcdf files)

Rhone : Suivi des eaux du panache du Rhone en zone cotiere. Suivi des eaux du Rhone en zone cotiere par mesure haute frequence de la temperature et de la salinite de surface

cdm_data_type = TimeSeries
VARIABLES:
station_name
station (string)
latitude (degrees_north)
longitude (degrees_east)
time (datetime, seconds since 1970-01-01T00:00:00Z)
temperature (degree_C)
Salinite (PSU)


SOOT-SEA : Impact of Black Carbon in South East Asia (CSV file)

Impact of Black Carbon in South East Asia

cdm_data_type = Point
VARIABLES:
sample
latitude (degrees_north)
longitude (degrees_east)
time (Datetime, seconds since 1970-01-01T00:00:00Z)
cycle
volume_filtered (m3)
Al (Aluminium, ug.m-3)
Ti (Titane, ug.m-3)
V (Vanadium, ug.m-3)
Cr (Chrome, ug.m-3)
Mn (Manganese, ug.m-3)
Fe (Fer, ug.m-3)
Co (Cobalt, ug.m-3)
Ni (Nickel, ug.m-3)
Cu (Cuivre, ug.m-3)
Zn (Zinc, ug.m-3)
As (Arsenic, ug.m-3)
Ag (Argent, ug.m-3)
Cd (Cadmium, ug.m-3)
Sn (Etain, ug.m-3)
Sb (Antimoine, ug.m-3)
Cs (Cesium, ug.m-3)
Ce (Cerium, ug.m-3)
Nd (Neodyme, ug.m-3)
Pb208 (ug.m-3)
U (Uranium, ng.m-3)
Hg (Mercure, ng.m-3)
... (81 more variables)


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.

cdm_data_type = TimeSeries
VARIABLES:
station_name
Sample (count)
latitude (degree, degrees_north)
longitude (degree, degrees_east)
time (datetime, seconds since 1970-01-01T00:00:00Z)
Cycle (hour, hour)
Volume_filtered (m3)
Al (Aluminium, ug.m-3)
Ti (Titane, ug.m-3)
V (Vanadium, ug.m-3)
Cr (Chrome, ug.m-3)
Mn (Manganese, ug.m-3)
Fe (Fer, ug.m-3)
Co (Cobalt, ug.m-3)
Ni (Nickel, ug.m-3)
Cu (Cuivre, ug.m-3)
Zn (Zinc, ug.m-3)
As (Arsenic, ug.m-3)
Ag (Argent, ug.m-3)
Cd (Cadmium, ug.m-3)
Sn (Etain, ug.m-3)
Sb (Antimoine, ug.m-3)
... (87 more variables)


SUMOS ModSpray23, seasprays distribution according B21A scheme Along Track

SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
crs
MNH_B21A_Concentrations_shiplocation (#/cm^3)
MNH_B21A_Radius (um)


SUMOS ModSpray23, seasprays distribution according B21B scheme Along Track

SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
crs
MNH_B21B_Concentrations_shiplocation (#/cm^3)
MNH_B21B_Radius (um)


SUMOS ModSpray23, seasprays distribution according OVA14 scheme Along Track

SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
crs
MNH_OVA14_Concentrations_shiplocation (#/cm^3)
MNH_OVA14_Radius (um)


SUMOS ModSpray23, wind speed at 15 m Along Track

SUMOS ModSpray23 - Along Track. Numerical simulations using Meso-NH (v5.4) in the Bay of Biscay. The wind field is forced by the European Centre for Medium-Range Weather
Forecasts (ECMWF) model. Sea spray is generating using the OVA14, B21A and B21B sea spray generation functions. Model data is extracted 15 m above sea level.

cdm_data_type = Trajectory
VARIABLES:
time (seconds, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
MNH_windspeed_shiplocation (m/s)
crs


Symphonie 2D (time, X, Y) outputs "SIM7_3km_2001_2009" experiment.

These simulations are performed in the framework of the LATEX project
            Project Web Site:
            http://www.mio.univ-amu.fr/LATEX
            Review Paper:
            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.

            For detailed information on the model implementation the reader is referred to:
            - 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.
            - 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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][Y][X]):
VBARavg (mean yward velocity avg, m/s)
UBARinst (mean xward velocity instant, m/s)
VBARinst (mean yward velocity instant, m/s)
surfelev (surface elevation, m)
UBARavg (mean xward velocity avg, m/s)


Symphonie 3D (time, Z1, X, Y) outputs "SIM7_3km_2001_2009" experiment.

These simulations are performed in the framework of the LATEX project
            Project Web Site:
            http://www.mio.univ-amu.fr/LATEX
            Review Paper:
            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.

            For detailed information on the model implementation the reader is referred to:
            - 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.
            - 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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][Z1][Y][X]):
DIFH_oi (horizontal diffusivity oi, m2/s)
DIFH_oj (horizontal diffusivity oj, m2/s)
RHO (sea water density, kg/m3)
Savg (sea water salinity_avg, PSU)
Sinst (sea water salinity_instant, PSU)
Tavg (sea water temperature_avg, C)
Tinst (sea water temperature_instant, C)
Uavg (xward seawater velocity avg, m/s)
Uinst (xward seawater velocity inst, m/s)
Vavg (yward seawater velocity avg, m/s)
Vinst (yward seawater velocity inst, m/s)


Symphonie 3D (time, Z2, X, Y) outputs "SIM7_3km_2001_2009" experiment.

These simulations are performed in the framework of the LATEX project
            Project Web Site:
            http://www.mio.univ-amu.fr/LATEX
            Review Paper:
            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.

            For detailed information on the model implementation the reader is referred to:
            - 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.
            - 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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][Z2][Y][X]):
W (Upward Sea Water)
ECT (eddy kinetic energy, m2/s2)
DIFV (vertical diffusivity, m2/s)


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

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Dardennes_Reservoir_Water_level_elevation (Dardennes Reservoir Water Level Elevation (m Asl) Daily Average)
Ragas_karst_Water_level_elevation (Ragas Karst Water Level Elevation (m Asl) Daily Average)
Ragas_karst_Water_Temperature (Ragas Karst Water Temperature (degree C) Daily Average)
Saint_Antoine_spring_Discharge (Saint Antoine Spring Discharge (m3/s) Daily Average)


Zooplankton timeseries Marseille bay (CSV file)

describing the dynamics of the mesozooplankton community both in term of biomass and taxonomic groups. This dataset contains the planktonic organisms collected by a WP2 net (Diameter 55 cm; Length : 3 m; Mesh size: 200??m mesh) and therefore covering zooplanktonic organisms from 200??m to ~2cm.

cdm_data_type = Point
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
biomass_fraction_gt_2000_um (mg DW.m-3)
biomass_fraction_1000_2000_um (mg DW.m-3)
biomass_fraction_500_1000_um (mg DW.m-3)
biomass_fraction_300_500_um (mg DW.m-3)
biomass_fraction_200_300_um (mg DW.m-3)
biomass_fraction_80_200_um (mg DW.m-3)
Total_biomass (mg DW.m-3)
Bivalvia (nb ind.m-3)
Chaetognatha (nb ind.m-3)
Calanoida (nb ind.m-3)
Oithonoida (nb ind.m-3)
Ergasilida (nb ind.m-3)
Harpacticoida (nb ind.m-3)
Fish_Eggs (nb ind.m-3)
Nauplii (nb ind.m-3)
Salpida (nb ind.m-3)
Crustacea (nb ind.m-3)
Pteropoda (nb ind.m-3)
Appendicularia (nb ind.m-3)
Cnidaria (nb ind.m-3)
Others (nb ind.m-3)
Total_Abundance (nb ind.m-3)


Zooplankton timeseries Marseille bay (NetCDF files)

This series is part of the long-term planktonic monitoring of Marseille Oceanographic Laboratories (successively Centre Océanographique de Marseille, Laboratoire d’Océanographie Biologique, Laboratoire d’Océanographie Physique et Biogéochimique, and presently Mediterranean Institute of oceanography / OSU Pytheas ).  It aims at describing the dynamics of the mesozooplankton community both in term of biomass and taxonomic groups.  This dataset contains the planktonic organisms collected by a WP2 net (Diameter 55 cm; Length : 3 m; Mesh size: 200μm mesh) and therefore covering zooplanktonic organisms from 200µm to ~2cm.  The sampling is carried out twice a month at a fixed station in the center of the bay of Marseille (43.2417°N; 5.29167°E) with a depth of 60m (see https://www.somlit.fr/marseille/ ).  The WP2 net (200μm mesh) is hauled vertically from 55 to the surface. Sample preserved in 4% buffered formalin and stored over the long term at the MIO.  Sample have bee scanned on a ZooScan, images processed with ZooProcess and sorted taxonomically on Particle Trieur, within the Plateforme Microscopie et IMagerie (MIM).  The data collection and processing has been funded by several projects over its lifetime. It is currently supported directly by the Mediterranean Institute of oceanography (MIO), as part of its long-term monitoring effort associated with SOMLIT. (https://www.somlit.fr/marseille/). Sont remerciés pour leur contributions à l’échantillonnage et/ou au traitement des échantillons Loic Guilloux; Theo Garcia; Salome Chen; Katty Donoso; Antoine Nowaxzyk; Virginie Riandey; Emmanuel Dieval; Karim Morsly; Nada Neffati; Baptiste Lebourg; Antony Dron

cdm_data_type = TimeSeries
VARIABLES:
station_name
time (datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
biomass_fraction_gt_2000_um (biomass fraction > 2000 um, mg DW.m-3)
biomass_fraction_1000_2000_um (mg DW.m-3)
biomass_fraction_500_1000_um (mg DW.m-3)
biomass_fraction_300_500_um (mg DW.m-3)
biomass_fraction_200_300_um (mg DW.m-3)
... (17 more variables)