Make A Graph

Dataset Title:	Modeling the volcanic Lake Albano, STATIC
Institution:	Istituto Nazionale Geofisica e Vulcanologia - Sezione di Bologna (Dataset ID: ALBANO_LAKE_MODEL_STATIC)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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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:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

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";
    Float32 actual_range 41.7351, 41.7609;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 12.6519, 12.6861;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  bath {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String long_name "bathymetric depth";
    Float32 missing_value -999.0;
    String standard_name "sea_floor_depth_below_sea_surface";
    String units "m";
  }
  NC_GLOBAL {
    String area_type "lake";
    String cdm_data_type "Grid";
    String citation "not yet available";
    String contributor_name "Anita Grezio,Damiano Delrosso,Claudia Fratianni";
    String contributor_role "Researcher,Researcher,Data Curator/Manager";
    String contributor_url "https://orcid.org/0000-0001-6848-7589, https://orcid.org/0000-0002-3646-9893, https://orcid.org/0000-0002-4983-4255";
    String Conventions "CF-1.8 ACDD-1.3, COARDS";
    String creator_name "Istituto Nazionale Geofisica e Vulcanologia - Sezione di Bologna";
    String drawLandMask "off";
    Float64 Easternmost_Easting 12.6861;
    Float64 geospatial_lat_max 41.7609;
    Float64 geospatial_lat_min 41.7351;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.6861;
    Float64 geospatial_lon_min 12.6519;
    Float64 geospatial_lon_resolution 3.0000000000000203e-4;
    String geospatial_lon_units "degrees_east";
    String history 
"Model data produced by SHYFEM at INGV
2026-02-12T09:40:16Z (local files)
2026-02-12T09:40:16Z http://oceano.bo.ingv.it/griddap/ALBANO_LAKE_MODEL_STATIC.das";
    String infoUrl "https://www.bo.ingv.it/";
    String institution "Istituto Nazionale Geofisica e Vulcanologia - Sezione di Bologna";
    String institution_edmo_code "251";
    String institution_edmo_ror "https://ror.org/029w2re51";
    String institution_edmo_uri "https://edmo.seadatanet.org/report/251";
    String keywords "albano, bath, bathymetric, bathymetry, bathymetry/seafloor, below, bologna, data, depth, earth, Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry, floor, geofisica, istituto, lake, MACMAP, modeling, nazionale, ocean, oceans, science, sea, sea_floor_depth_below_sea_surface, seafloor, sezione, static, surface, topography, volcanic, vulcanologia";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC-BY-4.0";
    String license_uri "https://spdx.org/licenses/CC-BY-4.0.json";
    Float64 Northernmost_Northing 41.7609;
    String principal_investigator "Anita Grezio";
    String principal_investigator_email "anita.grezio at ingv.it";
    String project "Dipartimentale INGV MACMAP";
    String source "Model data produced by SHYFEM at INGV";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.7351;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Modeling the volcanic Lake Albano - STATIC. The 3D numerical model SHYFEM (System of HydrodYnamic Finite Element Modules) is implemented to study the lake dynamics of the volcanic Lake Albano and to investigate the occurrence of the overturning events. The model is forced by ERA5 reanalysis dataset and it is validated and calibrated using the available salinity S and temperature T data. Final output is a 4-years realistic simulation from 01/01/2020 to 31/12/2023.";
    String title "Modeling the volcanic Lake Albano, STATIC";
    Float64 Westernmost_Easting 12.6519;
  }
}

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.