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Dataset Title:  SMOS BEC global SSS product v2 L3 Subscribe RSS
Institution:  BEC, ICM-CSIC, Barcelona, Spain   (Dataset ID: SMOS_SSS_L3)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom:
[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.2958272e+9, 1.6218972e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time "T";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.875, 179.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  uncertainty_sss {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 60.0;
    Float64 colorBarMinimum 0.0;
    String description "Practical Sea Surface Salinity [psu]";
    String long_name "Sea Surface Salinity Uncertainty";
    Float32 missing_value -999.0;
    String standard_name "uncertainty_sea_surface_salinity";
    String units "1";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  hr_sss {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 60.0;
    Float64 colorBarMinimum 0.0;
    String description "Binned Sea Surface Salinity in Practical Salinity Units [psu]";
    String long_name "High Resolution Sea Surface Salinity";
    Float32 missing_value -999.0;
    String standard_name "high_resolution_sea_surface_salinity";
    String units "1";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  lr_sss {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 60.0;
    Float64 colorBarMinimum 0.0;
    String description "Smoothed Sea Surface Salinity in Practical Salinity Units [psu]";
    String long_name "Low Resolution Sea Surface Salinity";
    Float32 missing_value -999.0;
    String standard_name "low_resolution_sea_surface_salinity";
    String units "1";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String Acknowledgement "A complete description of the algorithms and quality assessment of the SMOS SSS product are described in Olmedo, E., et al.: Nine years of SMOS sea surface salinity global maps at the Barcelona Expert Center, Earth Syst. Sci. Data, 13, 857–888. This product has been developed by the Instituto de Ciencias del Mar / Barcelona Expert Center (CSIC) as part of the European Marine Observation and Data Network Physics (EMODnet Physics) - EASME/EMFF/2020/3.1.11/Lot4/SI2.838612. The development was also supported by the Ministry of Economy and Competitiviness, Spain, through the National R+D Plan under Interact Project PID2020-114623RB-C31 and previous grants and by the European Space Agency.";
    String cdm_data_type "Grid";
    String comment "These data were produced at BEC as part of the Lambda project. Please, send your feedback to olmedo@icm.csic.es";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String copyright "BEC research products are freely distributed. If this data is used for publication, the following ackowlegment should be included: These data were produced by the Barcelona Expert Centre (http://bec.icm.csic.es/). The Barcelona Expert Center is a joint initiative of the Spanish Research Council (CSIC) and Technical (University of Catalonia (UPC), mainly founded by the Spanish National Program on Space.";
    String creator_email "olmedo@icm.csic.es";
    String creator_mail "smos-bec@icm.csic.es";
    String creator_name "OLMEDO";
    String creator_type "institution";
    String creator_url "http://bec.icm.csic.es";
    String date_created "2022-02-18T01:09:45Z";
    Float64 Easternmost_Easting 179.875;
    String funding "The development was also supported by the Ministry of Economy and Competitiviness, Spain, through the National R+D Plan under L-Band Project ESP2017-89463-C3-1-R and previous grants and by the European Space Agency by means of the contract CCI+ Salinity.";
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.875;
    Float64 geospatial_lon_min -179.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_datum "WGS84";
    Float32 grid_mapping_inverse_flattening 298.25723;
    Float32 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    String grid_mapping_proj4tex "+proj=latlong +ellps=WGS84";
    Float32 grid_mapping_semi_major_axis 6378137.0;
    String history 
"Thu Jun 18 14:29:41 2020: ncap2 -O -s time[time]=1310601600; tmp1.nc tmp2.nc
2022-06-27T03:05:16Z (local files)
2022-06-27T03:05:16Z https://erddap.emodnet-physics.eu/griddap/SMOS_SSS_L3.das";
    String infoUrl "http://bec.icm.csic.es";
    String institution "BEC, ICM-CSIC, Barcelona, Spain";
    String keywords "barcelona, bec, csic, data, global, high, high_resolution_sea_surface_salinity, hr_sss, icm, icm-csic, low, low_resolution_sea_surface_salinity, lr_sss, product, resolution, salinity, sea, smos, spain, sss, surface, time, uncertainty, uncertainty_sea_surface_salinity, uncertainty_sss";
    String license "This product is distributed under Creative Commons Attribution license (CC BY 4.0).You are free to share and adapt this product under the following terms:You must give appropriate credit (see copyright), provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.";
    String license_url "https://creativecommons.org/licenses/by/4.0/";
    String NCO "netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 89.875;
    String platform "PROTEUS";
    String product_version "2.0";
    String project "This product has been developed as part of the Copernicus Marine Environment Monitoring Service (CMEMS) Land-Marine Boundary Development and Analysis (Lambda) project.";
    String references "SSS have been retrieved following the algorithm described in Olmedo, E. et al., De-biased non-Bayesian Retrieval: a novel approach to SMOS Sea Surface Salinity, Remote Sensing of Environment 193 (2017) 103–126 and Olmedo, E. et al.,CHARACTERIZATION AND CORRECTION OF THE LATITUDINAL AND SEASONAL BIAS IN BEC SMOS SEA SURFACE SALINITY MAPS, 2019, Proceedings of IGARSS 2019 (Paper number WE4.R12.4). Specific publication describing the entire methodology and the performance of the product has been submitted in Earth System Science Data journal, Olmedo, E. et al., Nine years of SMOS Sea Surface Salinity global maps at the Barcelona Expert Center";
    String sensor "SMOS/MIRAS";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"This product integrates Sea Surface Salinity measurements provided by the Soil Moisture and Ocean Salinity (SMOS) European satellite mission.
This product provides 9-day integrated satellite Sea Surface Salinity (SSS) measurements at global scale. The product has a spatial resolution of 0.25ºx0.25º and the temporal coverage is from 2011 til May 2021.";
    String time_coverage_end "2021-05-24T23:00:00Z";
    String time_coverage_start "2011-01-24T00:00:00Z";
    String title "SMOS BEC global SSS product v2 L3";
    String url "http://bec.icm.csic.es";
    Float64 Westernmost_Easting -179.875;
    String wms_getcapabilities "https://erddap.emodnet-physics.eu/ncWMS2/wms?SERVICE=WMS&REQUEST=GetCapabilities&VERSION=1.3.0&DATASET=SMOS_SSS_L3";
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

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.


 
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