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Dataset Title:  NOAA CoastWatch, Sea Surface Height Anomalies from Altimetry, Global, 2017-
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Institution:  NOAA/NESDIS Center for Satellite Applications and Research   (Dataset ID: nesdisSSH1day)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1274    1 day 0h 3m 24s (uneven)
  < slider >
 latitude (degrees_north) ?      720    0.25 (even)
  < slider >
 longitude (degrees_east) ?      1440    0.25 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 sla (Sea Level Anomalies, m) ?

File type: (more info)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.486944e+9, 1.5971904e+9;
    String axis "T";
    String calendar "gregorian";
    String coverage_content_type "coordinate";
    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";
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 89.875;
    Float32 valid_min -89.875;
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.875, 179.875;
    String axis "X";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 179.875;
    Float32 valid_min -179.875;
  sla {
    Float64 _FillValue -3.2767;
    String cell_methods "time: mean (interval: 1 day)";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String comment "The sea level anomaly is referenced using the DTU15 mean sea surface height";
    String coverage_content_type "physicalMeasurement";
    String grid_mapping "crs";
    String ioos_category "Sea Level";
    String long_name "Sea Level Anomalies";
    Float64 missing_value -3.2767;
    String standard_name "sea_surface_height_above_sea_level";
    String units "m";
    Float64 valid_max 1.7029;
    Float64 valid_min -1.2969000000000002;
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "Eric Leuliette";
    String creator_url "";
    String cw_processing_algorithm "RADS 4.2.5";
    String cw_product_status "Experimental";
    String cw_satellite 
    String date_created "2020-08-13T12:00:45.570Z";
    String date_modified "2020-08-13T12:00:45.570Z";
    Float64 Easternmost_Easting 179.875;
    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 history 
"Data from Radar Altimetry Database System (RADS)
        Every day, at NOAA NMFS SWFSC ERD downloads new data from
    String id "nesdisSSH1day";
    String infoUrl "";
    String institution "NOAA/NESDIS Center for Satellite Applications and Research";
    String keywords "above, altimetry, anomalies, anomaly, applications, center, CoastWatch, CryoSat-2, daily, data, day, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science > Oceans > Surface Sea Surface Height, Earth Science > Solid Earth > Geodetics/Gravity > Geoid Properties, environmental, height, information, Jason-2, Jason-3, latitude, level, longitude, merged, national, nesdis, noaa, ocean, oceans, OceanWatch, RADS-NRT-SLA-Daily-L3, research, SARAL, satellite, sea, sea level, sea level anomalies, sea surface height, sea_surface_height_above_sea_level, Sentinel-3A, service, sla, ssh, surface, time, topography";
    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.

Please acknowledge NOAA CoastWatch/OceanWatch and Southwest Fisheries Science Center's Environmental Research Division when you use these data. To cite these data in a paper, please cite Leuliette and Scharroo (2010) found in the reference attribute and follow the instructions in the license and at this link:"";
    String naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 89.875;
    String platform "Jason-2, Jason-3, Sentinel-3A, CryoSat-2, SARAL";
    String processing_level "L3";
    String project "Radar Altimetry Database System";
    String publisher_email "";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "";
    String reference "Leuliette, E. W., and R. Scharroo (2010). Integrating Jason-2 into a Multiple-Altimeter Climate Data Record. Marine Geodesy, 33(1), 504–517. doi:10.1080/01490419.2010.487795";
    String source "Altimetry measurements";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The altimetry data are from RADS (, the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.";
    String testOutOfDate "now-3days";
    String time_coverage_end "2020-08-12T00:00:00Z";
    String time_coverage_resolution "PD1";
    String time_coverage_start "2017-02-13T00:00:00Z";
    String title "NOAA CoastWatch, Sea Surface Height Anomalies from Altimetry, Global, 2017-present, EXPERIMENTAL";
    Float64 Westernmost_Easting -179.875;


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{?query}
For example,[(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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