Make A Graph

Dataset Title:	Estimated sea surface temperature at 1 km spatial resolution (20240719T090552Z)
Institution:	UNIGE-DITEN (Dataset ID: unige-diten_sea_surface_temperature_final_output_20240719T090552)
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

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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Then set the File Type: (File Type information)
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or view the URL:
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Click on the map to specify a new center point.

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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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.81, 44.230000000000004;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "y";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 9.11, 10.49;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "x";
    String standard_name "longitude";
    String units "degrees_east";
  }
  estimated_sst {
    Float64 _FillValue NaN;
    String long_name "Estimated Sst";
    String name "estimated_sst";
  }
  NC_GLOBAL {
    String acquisition_frequence "Periodic acquisition following Sentinel-3 (daily to sub-daily) observation cycles, subject to cloud coverage.";
    String acquisition_methodology "Input data acquired through satellite remote sensing using Copernicus Sentinel-3 observations.";
    String acquisition_mode "Delayed-mode acquisition using archived Sentinel-3 satellite data.";
    String cdm_data_type "Grid";
    String contributors_email "michela.castellano@unige.it; francesco.massa@unige.it;  tiziana.ciuffardi@enea.it";
    String contributors_name "Castellano, Michela; Massa, Francesco; Ciuffardi, Tiziana";
    String contributors_orcid "0000-0001-6101-0112; 0000-0001-9632-4939; 0000-0003-2512-7991";
    String contributors_role "data provision of in-situ measurements of sea surface temperature, support about the use of in situ data and results interpretation; provision of in-situ measurements of sea surface temperature, support about the use of in situ data and results interpretation; provision of in-situ measurements of sea surface temperature, support about the use of in situ data and results interpretation";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "Sebastiano.Serpico@unige.it; Gabriele.Moser@unige.it; abdul.basit@edu.unige.it";
    String creator_name "Serpico, Bruno Sebastiano; Moser, Gabriele; Basit, Abdul";
    String creator_orcid "0000-0001-9858-7230; 0000-0002-3796-2938; 0000-0002-0092-6853";
    String creator_type "person; person; person";
    String creator_url "https://www.iprslab.it/";
    String data_doi "10.5281/zenodo.18172060";
    String data_format_original "netCDF";
    String data_version "1";
    String documentation "https://s4raise.it/dssmare/distributed_monitoring/, https://s4raise.it/dssmare/satellite_monitoring/, https://raise-spoke3.s4raise.it/project01";
    Float64 Easternmost_Easting 10.49;
    Float64 geospatial_lat_max 44.230000000000004;
    Float64 geospatial_lat_min 41.81;
    Float64 geospatial_lat_resolution 0.020000000000000014;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.49;
    Float64 geospatial_lon_min 9.11;
    Float64 geospatial_lon_resolution 0.02000000000000001;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_crs_wkt "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]";
    String grid_mapping_geographic_crs_name "WGS 84";
    String grid_mapping_GeoTransform "8.700000000000001 0.02 0.0 44.38 0.0 -0.02";
    String grid_mapping_horizontal_datum_name "World Geodetic System 1984";
    String grid_mapping_inverse_flattening "298.257223563";
    String grid_mapping_longitude_of_prime_meridian "0.0";
    String grid_mapping_name "latitude_longitude";
    String grid_mapping_prime_meridian_name "Greenwich";
    String grid_mapping_reference_ellipsoid_name "WGS 84";
    String grid_mapping_semi_major_axis "6378137.0";
    String grid_mapping_semi_minor_axis "6356752.314245179";
    String grid_mapping_spatial_ref "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]";
    String history 
"2026-04-03T04:35:48Z (local files)
2026-04-03T04:35:48Z https://erddap.s4raise.it/griddap/unige-diten_sea_surface_temperature_final_output_20240719T090552.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "UNIGE-DITEN";
    String institution_country "IT";
    String keywords "Machine Learning Models (fe4392b0-13a9-43ff-bacc-f44a65aed4fa)";
    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 44.230000000000004;
    String owner "UNIGE-DITEN";
    String owner_url "https://diten.unige.it/";
    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 sensors "Sea and Land Surface Temperature Radiometer (SLSTR) onboard Sentinel-3";
    String source "Model-generated data produced using supervised Random Forest (RF) and Mondrian Forest (MF) machine learning models (version 1.0)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.81;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The dataset consists of estimated sea surface temperature (SST) obtained as the output of a machine learning model. Thermal infrared data from the Sentinel-3 mission of the Copernicus programme of the European Union, together with in situ sea-truth temperature measurements provided by colleagues at UNIGE-DISTAV and ENEA, are used to train the model within a supervised machine learning framework";
    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 title "Estimated sea surface temperature at 1 km spatial resolution (20240719T090552Z)";
    String visibility "public";
    Float64 Westernmost_Easting 9.11;
  }
}

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.