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Dataset Title:  SURF | TPXO8 | Tidal Elevation N2 1/30 Degree Subscribe RSS
Institution:  Oregon State University   (Dataset ID: surf_osu_tpxo8_hf_n2_30_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 longitude (degrees_east) ?      10800    0.03333333 (even)
  < slider >
 latitude (degrees_north) ?      5401    0.03333333 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 hRe (Tidal Elevation Complex Amplitude Real Part, mm) ?
 hIm (Tidal Elevation Complex Amplitude Imaginary Part, mm) ?

File type: (more information)

(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 {
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.033333334014147384, 359.999995931178;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -90.0000035597249, 90.0000035597249;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  hRe {
    String field "Re(z), scalar, amp=abs(hRe+i*hIm);GMT phase=atan2(-hIm,hRe)/pi*180;";
    String ioos_category "Sea Level";
    String long_name "Tidal Elevation Complex Amplitude Real Part";
    String option_0 "land";
    String option_1 "~=0 - water";
    String units "mm";
  }
  hIm {
    String field "Im(z), scalar";
    String ioos_category "Sea Level";
    String long_name "Tidal Elevation Complex Amplitude Imaginary Part";
    String option_0 "land";
    String option_1 "~=0 - water";
    String units "mm";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    Float64 Easternmost_Easting 359.999995931178;
    Float64 geospatial_lat_max 90.0000035597249;
    Float64 geospatial_lat_min -90.0000035597249;
    Float64 geospatial_lat_resolution 0.033333334651749966;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.999995931178;
    Float64 geospatial_lon_min 0.033333334014147384;
    Float64 geospatial_lon_resolution 0.03333333295649262;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-06-06T01:10:11Z (local files)
2026-06-06T01:10:11Z https://erddap.cmcc-opa.eu/erddap/griddap/surf_osu_tpxo8_hf_n2_30_v1.das";
    String infoUrl "https://www.tpxo.net/";
    String institution "Oregon State University";
    String keywords "amplitude, elevation, imaginary, ocean, real, tidal, tide, water level";
    String license "Contact the data provider for redistribution and license terms.";
    Float64 Northernmost_Northing 90.0000035597249;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -90.0000035597249;
    String summary "TPXO8 tidal elevation complex amplitude fields for constituent N2 at 1/30-degree resolution.";
    String title "SURF | TPXO8 | Tidal Elevation N2 1/30 Degree";
    String type "OTIS tidal elevation file";
    Float64 Westernmost_Easting 0.033333334014147384;
  }
}

 

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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