ERDDAP OSU Pytheas
Accès aux données environnementales... |
log in
Erddap est un produit développé par : NOAA ERD |
Dataset Title: | Symphonie 3D (time, Z1, X, Y) outputs "SIM7_3km_2001_2009" experiment. |
Institution: | MIO UMR7294 CNRS / OSU Pytheas (Dataset ID: SIM7_3km_2001_2009_z1) |
Information: | Summary | License | Metadata | Background | Files | Make a graph |
Attributes { time { String _CoordinateAxisType "Time"; Float64 actual_range 9.790416e+8, 9.793872e+8; String axis "T"; String calendar "gregorian"; String ioos_category "Time"; String long_name "Time"; String standard_name "time"; String time_origin "01-JAN-1970 00:00:00"; String units "seconds since 1970-01-01T00:00:00Z"; } Z1 { Int16 actual_range 0, 39; String ioos_category "Unknown"; String long_name "Z1"; String units "count"; } Y { Int16 actual_range 0, 114; String ioos_category "Location"; String long_name "Y"; String units "count"; } X { Int16 actual_range 0, 338; String ioos_category "Location"; String long_name "X"; String units "count"; } DIFH_oi { Float32 _FillValue -9999.0; String associate "time level_dpth2 lat2 lo"; String axis "FZYX"; Float64 colorBarMaximum 10.0; Float64 colorBarMinimum -10.0; String ioos_category "Unknown"; String long_name "horizontal diffusivity oi"; Float32 missing_value -9999.0; String standard_name "horizontal_diffusivity_oi"; Int32 type 1; String units "m2/s"; } DIFH_oj { Float32 _FillValue -9999.0; String associate "time level_dpth3 lat3 lo"; String axis "FZYX"; Float64 colorBarMaximum 10.0; Float64 colorBarMinimum -10.0; String ioos_category "Unknown"; String long_name "horizontal diffusivity oj"; Float32 missing_value -9999.0; String standard_name "horizontal_diffusivity_oj"; Int32 type 1; String units "m2/s"; } RHO { Float32 _FillValue -9999.0; String associate "time level_dpth lat lon"; String axis "FZYX"; Float64 colorBarMaximum 28.0; Float64 colorBarMinimum 20.0; String ioos_category "Salinity"; String long_name "sea water density"; Float32 missing_value -9999.0; String standard_name "sea_water_density"; Int32 type 1; String units "kg/m3"; } Savg { Float32 _FillValue -9999.0; String associate "time level_dpth lat lon"; String axis "FZYX"; Float64 colorBarMaximum 37.0; Float64 colorBarMinimum 32.0; String ioos_category "Salinity"; String long_name "sea water salinity_avg"; Float32 missing_value -9999.0; String standard_name "sea_water_salinity_avg"; Int32 type 1; String units "PSU"; } Sinst { Float32 _FillValue -9999.0; String associate "time level_dpth lat lon"; String axis "FZYX"; Float64 colorBarMaximum 37.0; Float64 colorBarMinimum 32.0; String ioos_category "Salinity"; String long_name "sea water salinity_instant"; Float32 missing_value -9999.0; String standard_name "sea_water_salinity_instant"; Int32 type 1; String units "PSU"; } Tavg { Float32 _FillValue -9999.0; String associate "time level_dpth lat lon"; String axis "FZYX"; String ioos_category "Temperature"; String long_name "sea water temperature_avg"; Float32 missing_value -9999.0; String standard_name "sea_water_temperature_avg"; Int32 type 1; String units "C"; } Tinst { Float32 _FillValue -9999.0; String associate "time level_dpth lat lon"; String axis "FZYX"; String ioos_category "Temperature"; String long_name "sea water temperature_instant"; Float32 missing_value -9999.0; String standard_name "sea_water_temperature_instant"; Int32 type 1; String units "C"; } Uavg { Float32 _FillValue -9999.0; String associate "time level_dpth2 lat2 lon2"; String axis "FZYX"; Float64 colorBarMaximum 0.5; Float64 colorBarMinimum -0.5; String ioos_category "Currents"; String long_name "xward seawater velocity avg"; Float32 missing_value -9999.0; String standard_name "xward_sea_water_velocity_avg"; Int32 type 2; String units "m/s"; } Uinst { Float32 _FillValue -9999.0; String associate "time level_dpth2 lat2 lon2"; String axis "FZYX"; Float64 colorBarMaximum 0.5; Float64 colorBarMinimum -0.5; String ioos_category "Currents"; String long_name "xward seawater velocity inst"; Float32 missing_value -9999.0; String standard_name "xward_sea_water_velocity_inst"; Int32 type 2; String units "m/s"; } Vavg { Float32 _FillValue -9999.0; String associate "time level_dpth3 lat3 lon3"; String axis "FZYX"; Float64 colorBarMaximum 0.5; Float64 colorBarMinimum -0.5; String ioos_category "Currents"; String long_name "yward seawater velocity avg"; Float32 missing_value -9999.0; String standard_name "yward_sea_water_velocity_avg"; Int32 type 3; String units "m/s"; } Vinst { Float32 _FillValue -9999.0; String associate "time level_dpth3 lat3 lon3"; String axis "FZYX"; Float64 colorBarMaximum 0.5; Float64 colorBarMinimum -0.5; String ioos_category "Currents"; String long_name "yward seawater velocity inst"; Float32 missing_value -9999.0; String standard_name "yward_sea_water_velocity_inst"; Int32 type 3; String units "m/s"; } NC_GLOBAL { String cdm_data_type "Grid"; String Conventions "CF 1.0, COARDS, ACDD-1.3"; String file_name "symphonie.nc"; String grid_type "C"; String history "Mon Mar 6 15:33:43 2017: ncks -O --mk_rec_dmn time 20010109_000000_8.nc 20010109_000000_8.nc 2024-11-13T15:31:11Z (local files) 2024-11-13T15:31:11Z http://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_z1.das"; String infoUrl "https://dx.doi.org/10.1029/2011JC007074"; String institution "MIO UMR7294 CNRS / OSU Pytheas"; String keywords "average, currents, data, density, diffusivity, DIFH_oi, DIFH_oj, Earth Science > Oceans > Salinity/Density > Density, horizontal, horizontal_diffusivity_oi, horizontal_diffusivity_oj, inst, instant, local, ocean, oceans, RHO, salinity, Savg, sea, sea_water_density, sea_water_salinity_avg, sea_water_salinity_instant, sea_water_temperature_avg, sea_water_temperature_instant, seawater, Sinst, source, Tavg, temperature, time, Tinst, Uavg, Uinst, Vavg, velocity, Vinst, water, xward, xward_sea_water_velocity_avg, xward_sea_water_velocity_inst, yward, yward_sea_water_velocity_avg, yward_sea_water_velocity_inst"; String keywords_vocabulary "GCMD Science Keywords"; String license "The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information."; String NCO "4.4.2"; Int32 number_of_vartype 4; String production "POC 2003"; String project "LATEX"; String sourceUrl "(local files)"; String standard_name_vocabulary "CF Standard Name Table v29"; String summary "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"; String time_coverage_end "2001-01-13T12:00:00Z"; String time_coverage_start "2001-01-09T12:00:00Z"; String title "Symphonie 3D (time, Z1, X, Y) outputs \"SIM7_3km_2001_2009\" experiment."; } }
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst),
followed by [(start):stride:(stop)]
(or a shorter variation of that) for each of the variable's dimensions
(for example, [time][latitude][longitude]).
For details, see the griddap Documentation.