Make A Graph

Dataset Title:	Maximum wave run-up considering SW storms
Institution:	UNIGE-DISTAV (Dataset ID: unige-distav_camogli_runup_libeccio)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

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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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.766141e+8, 1.6363945e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    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";
    Float64 _FillValue NaN;
    Float64 actual_range 44.334401469808654, 44.35180094596979;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 9.1284920193131, 9.162435017026374;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  zs {
    Float64 _FillValue -3.4028234663852886e+38;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String long_name "water level";
    String standard_name "sea_surface_height_above_sea_level";
    String units "m";
  }
  zb {
    Float64 _FillValue -3.4028234663852886e+38;
    String long_name "bed level";
    String standard_name "altitude";
    String units "m";
  }
  ue {
    Float64 _FillValue -3.4028234663852886e+38;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String long_name "Eulerian velocity in cell centre, x-component";
    String standard_name "sea_water_x_velocity";
    String units "m/s";
  }
  ve {
    Float64 _FillValue -3.4028234663852886e+38;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String long_name "Eulerian velocity in cell centre, y-component";
    String standard_name "sea_water_y_velocity";
    String units "m/s";
  }
  H {
    Float64 _FillValue -3.4028234663852886e+38;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Hrms wave height based on instantaneous wave energy";
    String units "m";
  }
  E {
    Float64 _FillValue -3.4028234663852886e+38;
    String long_name "wave energy";
    String units "Nm/m2";
  }
  L1 {
    Float64 _FillValue -3.4028234663852886e+38;
    String long_name "wave length (used in dispersion relation)";
    String units "m";
  }
  Qb {
    Float64 _FillValue -3.4028234663852886e+38;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String long_name "fraction breaking waves";
  }
  sedero {
    Float64 _FillValue -3.4028234663852886e+38;
    String long_name "cum. sedimentation/erosion";
    String units "m";
  }
  thetamean {
    Float64 _FillValue -3.4028234663852886e+38;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String long_name "mean wave angle";
    String standard_name "sea_surface_wind_wave_to_direction";
    String units "rad";
  }
  NC_GLOBAL {
    String Build_Date "14-04-2021 12:19:55";
    String Build_Revision "5834";
    String cdm_data_type "Grid";
    String contributors_email "marco.ferrari@unige.it";
    String contributors_name "Ferrari, Marco";
    String contributors_orcid "0000-0001-7009-6552";
    String contributors_role "supervised and addressed the research activity";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String coordinates "globaltime";
    String creator_email "luca.carpi@edu.unige.it";
    String creator_name "Carpi, Luca";
    String creator_orcid "0000-0003-4954-4183";
    String creator_type "research fellow";
    String creator_url "https://distav.unige.it/luca.carpi@edu.unige.it";
    String data_doi "10.5281/zenodo.18173755";
    String data_format_original "netcdf";
    String data_version "1";
    String documentation "https://s4raise.it/dssmare/coastal_erosion/, https://raise-spoke3.s4raise.it/project06";
    Float64 Easternmost_Easting 9.162435017026374;
    Float64 geospatial_lat_max 44.35180094596979;
    Float64 geospatial_lat_min 44.334401469808654;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.162435017026374;
    Float64 geospatial_lon_min 9.1284920193131;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T04:28:28Z (local files)
2026-04-03T04:28:28Z https://erddap.s4raise.it/griddap/unige-distav_camogli_runup_libeccio.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "UNIGE-DISTAV";
    String institution_country "IT";
    String keywords "Wave Runup (9a4816c1-dba8-4ae4-9c3b-7f98a4ac245b)";
    String keywords_vocabulary "GCMD Science Keywords";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String naming_authority "RAISE";
    Float64 Northernmost_Northing 44.35180094596979;
    String owner "UNIGE-DISTAV";
    String owner_url "https://distav.unige.it/";
    String Producer "XBeach littoral zone wave model (http://www.xbeach.org)";
    String project_code "RAISE";
    String project_id "ECS00000035";
    String project_name "Robotics and AI for Socio-economic Empowerment";
    String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).";
    String project_url "https://www.raiseliguria.it/";
    String publisher "ETT S.p.A.";
    String references "10.5281/zenodo.18173755";
    String source "XBeach version 1.23.5834";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.334401469808654;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios, also considering the storm surge (wave set-up), to estimate the wave run-up on the Camogli coast. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety.";
    String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
    String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
    String time_coverage_end "2021-11-08T18:01:40Z";
    String time_coverage_start "1981-12-07T23:01:40Z";
    String title "Maximum wave run-up considering SW storms";
    String URL "http://svn.oss.deltares.nl/repos/xbeach/trunk/";
    String visibility "public";
    Float64 Westernmost_Easting 9.1284920193131;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes 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.

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.