Make A Graph

Dataset Title:	Total Water Level (twl_beaches)
Institution:	+ATLANTIC_CoLAB (Dataset ID: twl)
Range:	longitude = -9.48275 to -7.517529°E, latitude = 36.97846 to 41.84606°N, time = 1994-01-01T00:00:00Z to 2021-12-31T21:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1, 129;
    String comment "Unique ID for each location";
    String ioos_category "Identifier";
    String long_name "profile ID";
    String standard_name "id";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -9.48275, -7.517529;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 36.97846, 41.84606;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  slope {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.554;
    Float64 colorBarMaximum 0.4;
    Float64 colorBarMinimum 0.0;
    String comment "Beach slope calculated from a LiDAR-derived Digital Terrain Model (DTM)";
    String ioos_category "Unknown";
    String long_name "beach slope";
    String observation_type "remote sensing: LiDAR (UAV-based)";
    String processing_method "Finite Difference Method";
    String standard_name "surface_slope";
    String time_sampling "point measurement (2011)";
    String units "1";
    Float32 valid_max 0.3;
    Float32 valid_min 0.0;
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 7.573824e+8, 1.6409844e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String cf_role "timeseries_id";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_sampling "hourly";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  TWL {
    Float32 _FillValue -999.9;
    Float32 actual_range -1.86, 31.04;
    String ioos_category "Sea Level";
    String long_name "Total Water Level";
    String observation_type "merged from multiple sources";
    String processing_method "linear summation empirical modelling downscaling (LSDW)";
    String source "+ATLANTIC";
    String time_sampling "hourly";
    String units "m";
  }
  R2 {
    Float32 _FillValue -999.9;
    Float32 actual_range 0.03, 30.64;
    String ioos_category "Surface Waves";
    String long_name "Wave Runup";
    String observation_type "reanalysis, remote sensing and in situ";
    String processing_method "Stockdon2006";
    String source "WAVERYS + COSMO program";
    String time_sampling "hourly";
    String units "m";
  }
  AT {
    Float32 _FillValue -999.9;
    Float32 actual_range -1.86, 1.9;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String ioos_category "Sea Level";
    String long_name "Astronomical Tide";
    String observation_type "numerical model";
    String processing_method "numerical model";
    String source "FES2021";
    String standard_name "sea_surface_height";
    String time_sampling "hourly";
    String units "m";
  }
  SS {
    Float32 _FillValue -999.9;
    Float32 actual_range -0.35, 0.58;
    String ioos_category "Meteorology";
    String long_name "Storm Surge";
    String observation_type "numerical model";
    String processing_method "numerical model";
    String source "MOG2D - DAC";
    String time_sampling "hourly";
    String units "m";
  }
  SLA {
    Float32 _FillValue -999.9;
    Float32 actual_range -0.39, 0.34;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Location";
    String long_name "Sea Level Anomaly";
    String observation_type "satellite";
    String processing_method "along-track data";
    String source "X-TRACK";
    String time_sampling "hourly";
    String units "m";
  }
  beach {
    String ioos_category "Unknown";
    String long_name "Beach Name";
    String standard_name "beach_name";
  }
 }
  NC_GLOBAL {
    String area "Portugal Continental Coast";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "time, TWL";
    String comment "Total Water Level (TWL) computed based on the closest data available from satellite, reanalysis and model data.";
    String contributor_name "0000-0001-5878-3317 - 0009-0009-2108-7639";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "https://orcid.org/0009-0009-2108-7639";
    String creator_url "https://colabatlantic.com";
    String data_type "time-series data";
    Float64 Easternmost_Easting -7.517529;
    String featureType "TimeSeries";
    String format_version "v1.0";
    Float64 geospatial_lat_max 41.84606;
    Float64 geospatial_lat_min 36.97846;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -7.517529;
    Float64 geospatial_lon_min -9.48275;
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical "meters above/below mean sea level";
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"2025-07-18T01:37:12Z (local files)
2025-07-18T01:37:12Z http://erddap.atlanticsense.com/tabledap/twl.das";
    String infoUrl "https://colabatlantic.com";
    String institution "+ATLANTIC_CoLAB";
    String institution_edmo_code "3348";
    String instrument "radar altimeter; numerial models";
    String instrument_vocabulary "CEOS";
    String keywords "+atlantic, anomaly, astronomical, beach, beach_name, beaches, colab, data, earth, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, height, identifier, latitude, level, longitude, meteorology, name, ocean, oceans, portugal, profile, runup, science, sea, sea level, sea_surface_height, seawater, SLA, slope, storm, surface, surface waves, surface_slope, surge, tide, time, topography, total, twl, water, wave, waves";
    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 method "The linear summation empirical modelling downscaling (LSDW) approach";
    String netcdf_version "4.4.1.1";
    Float64 Northernmost_Northing 41.84606;
    String platform_type "satellite; reanalysis; model";
    String platform_vocabulary "CEOS";
    String processing_level "L4";
    String product_version "v1.2";
    String references "ToBeUpdate";
    String scientific_support_contact "info@colabatlantic.com";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 36.97846;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Total Water Level. twl_beaches. +ATLANTIC_CoLAB data from a local source.";
    String technical_support_contact "atlanticsense@colabatlantic.com";
    String time_coverage_end "2021-12-31T21:00:00Z";
    String time_coverage_resolution "hourly";
    String time_coverage_start "1994-01-01T00:00:00Z";
    String title "Total Water Level (twl_beaches)";
    String track_id "ToBeUpdate";
    String update_interval "Not specified";
    String version_date "2025-02-07T16:46:56Z";
    Float64 Westernmost_Easting -9.48275;
  }
}

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its selection 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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

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