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| Dataset Title: | SSS SMOS L4 OI, LOPS-v2021
|
| Institution: | SMOS CATDS (Dataset ID: MULTIOBS_GLO_PHY_SSS_L4_MY_015_015) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
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Attributes {
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.2936672e+9, 1.6565472e+9;
String axis "T";
String calendar "standard";
String ioos_category "Time";
String long_name "mean time of coverage period";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String units "seconds since 1970-01-01T00:00:00Z";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 actual_range -83.51713562011719, 83.51713562011719;
String axis "Y";
String ioos_category "Location";
String long_name "Latitude";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 actual_range -179.8703155517578, 179.8703155517578;
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String standard_name "longitude";
String units "degrees_east";
}
sss {
String long_name "Corrected Practical Sea Surface Salinity (pss-78)";
String standard_name "sea_water_practical_salinity";
String units "PSU";
}
sss_isas {
String long_name "Reference Practical SSS from ISAS in situ gridded product (pss-78)";
String standard_name "sea_water_practical_salinity";
String units "PSU";
}
sss_corr_smos {
String long_name "Practical Sea Surface Salinity Correction of SMOS (pss-78)";
String standard_name "sea_water_practical_salinity";
String units "PSU";
}
sst {
String long_name "Sea Surface Temperature";
String standard_name "sea_surface_temperature";
String units "degree_C";
}
spiciness0 {
String long_name "Spiciness at p = 0 dbar (75-term equation) computed from TEOS-10 MATLAB Toolbox";
String units "kg/m^3";
}
SA {
String long_name "Absolute Salinity from Practical Salinity computed from TEOS-10 MATLAB Toolbox";
String standard_name "sea_water_absolute_salinity";
String units "g/kg";
}
CT {
String long_name "Conservative Temperature from in-situ temperature computed from TEOS-10 MATLAB Toolbox";
String standard_name "sea_water_conservative_temperature";
String units "degree_C";
}
rho {
String long_name "In-situ density computed from TEOS-10 MATLAB Toolbox";
String standard_name "sea_surface_density";
String units "kg/m^3";
}
alpha {
String long_name "Thermal expansion coefficient with respect to Conservative Temperature computed from TEOS-10 MATLAB Toolbox";
String units "1/K";
}
beta {
String long_name "Haline contraction coefficient at constant Conservative Temperature computed from TEOS-10 MATLAB Toolbox";
String units "1000";
}
ice_mask {
Float64 _FillValue 0.0;
String long_name "Sea Ice Fraction (>=15 %) from multi-sensor L4 foundation SST product from Remote Sensing Systems";
Float64 mask_data 1.0;
}
NC_GLOBAL {
String cdm_data_type "Grid";
String citation "CATDS (2022). CATDS-PDC L4OS SMOS-OI - Weekly optimal interpolation salinity field product from SMOS satellite and ISAS. CATDS (CNES, IFREMER, LOPS). https://dx.doi.org/10.12770/639a918e-0711-4eff-965d-15a728acb27d";
String computation_method "TEOS-10";
String contact "servicedesk.cmems@mercator-ocean.eu";
String Conventions "CF-1.8, COARDS, ACDD-1.3";
String creation_date "18-Jul-2022 11:19:21";
String creator_email "support@catds.fr";
String creator_name "SMOS CATDS";
String datum "+ellps = WGS84";
String DOI "10.12770/639a918e-0711-4eff-965d-15a728acb27d";
String DOI_link "https://doi.org/10.12770/639a918e-0711-4eff-965d-15a728acb27d";
String ease_global "yes";
Float64 ease_origin_lat -83.51714;
Float64 ease_origin_lon -179.8703;
String ease_projection "cylindrical";
Float64 ease_resolution 25.0;
Float64 Easternmost_Easting 179.8703155517578;
Float64 geospatial_lat_max 83.51713562011719;
Float64 geospatial_lat_min -83.51713562011719;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 179.8703155517578;
Float64 geospatial_lon_min -179.8703155517578;
String geospatial_lon_units "degrees_east";
String grip_mapping "projection";
String history
"2024-12-21T12:46:07Z (local files)
2024-12-21T12:46:07Z http://erddap.emodnet-physics.eu/erddap/griddap/MULTIOBS_GLO_PHY_SSS_L4_MY_015_015.das";
String infoUrl "https://www.catds.fr/";
String institution "SMOS CATDS";
String keywords "75-term, absolute, alpha, beta, coefficient, computed, conservative, constant, contraction, corrected, correction, data, dbar, density, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Salinity/Density > Density, Earth Science > Oceans > Salinity/Density > Salinity, equation, expansion, foundation, fraction, gridded, haline, ice, ice_mask, in-situ, interpolation, isas, L4, lops, lops-v2021, matlab, multi, multi-sensor, ocean, oceans, optimum, percent, practical, product, pss, pss-78, reference, remote, respect, rho, salinity, scale, science, sea, sea_surface_density, sea_surface_temperature, sea_water_absolute_salinity, sea_water_conservative_temperature, sea_water_practical_salinity, seawater, sensing, sensor, situ, smos, spiciness, spiciness0, sss, sss_corr_smos, sss_isas, sst, surface, systems, temperature, teos, teos-10, term, thermal, time, toolbox, v2021, water, with, www.catds.fr";
String keywords_vocabulary "GCMD Science Keywords";
String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
Float64 Northernmost_Northing 83.51713562011719;
String processing_step "2 – operational processing";
String product_version "1.0";
String proj4text "+proj=cea +lon_0=0 +lat_ts=30 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs";
String publication "In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication: Kolodziejczyk Nicolas, Hamon Michel, Boutin Jacqueline, Vergely Jean-Luc, Reverdin Gilles, Supply Alexandre, Reul Nicolas (2021). Objective analysis of SMOS and SMAP Sea Surface Salinity to reduce large scale and time dependent biases from low to high latitudes. Journal Of Atmospheric And Oceanic Technology, 38(3), 405-421. Publisher's official version : https://doi.org/10.1175/JTECH-D-20-0093.1 , Open Access version : https://archimer.ifremer.fr/doc/00665/77702/";
String references "IOC, SCOR and IAPSO, 2010: The international thermodynamic equation of seawater – 2010: Calculation and use of thermodynamic properties. Intergovernmental Oceanographic Commission, Manuals and Guides No. 56, UNESCO (English), 196 pp.";
String references_1 "http://marine.copernicus.eu/";
String references_2 "https://dx.doi.org/10.12770/0f02fc28-cb86-4c44-89f3-ee7df6177e7b";
String references_3 "http://www.remss.com/missions/amsr/";
String references_4 "http://www.remss.com/measurements/sea-surface-temperature/oisst-description/";
String source_1 "Coriolis ISAS NRT";
String source_2 "CATDS-PDC L3OS L3Q mixed – Debiased average 10 days salinity field product";
String source_3 "Remote Sensing Systems - AMSR-2 - SST";
String source_4 "Remote Sensing Systems - REMSS-L4_GHRSST-SSTfnd-MW_OI-GLOB-v02.0-fv05.0 - Sea Ice Fraction";
String sourceUrl "(local files)";
Float64 Southernmost_Northing -83.51713562011719;
String srid "EPSG:6933";
String standard_name_vocabulary "CF Standard Name Table v70";
String summary "SSS SMOS L4 Optimum Interpolation (OI) - LOPS-v2021. config_73 : SMOS_RE06_L3Q-9d-gauss-varJLV-OI1-V1-500-1-0-OI2-25-1-0.2-medSTD";
String time_coverage_end "2022-06-30T00:00:00Z";
String time_coverage_start "2010-12-30T00:00:00Z";
String title "SSS SMOS L4 OI, LOPS-v2021";
Float64 Westernmost_Easting -179.8703155517578;
}
}
Data Access Protocol (DAP) and its
projection constraints.
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.