Make A Graph

Dataset Title:	Daily Hindcast of SHYFEM-BFM application to the Marano Grado Lagoon years 2010- 2014 (Nitrates)
Institution:	OGS - Trieste (Dataset ID: itineris_mgl_daily_bgc_nitrate)
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 →

depth (m)

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:

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

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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.

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.2623472e+9, 1.4200272e+9;
    String axis "T";
    String calendar "standard";
    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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 10000.0, 10000.0;
    String axis "Z";
    String description "bottom of vertical layers";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 5059500.0, 5070800.0;
    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 2369600.0, 2401100.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  bfm_N3n {
    Float32 _FillValue -999.0;
    String discipline "Physical oceanography";
    String ioos_category "Dissolved Nutrients";
    String long_name "Nitrate_NoX";
    Float32 missing_value -999.0;
    String standard_name "nitrate";
    String units "mmol N m-3";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Data restriction: for academic research use only";
    String contact "email: georg.umgiesser@ismar.cnr.it";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "iscroccaro@ogs.it";
    String creator_name "Isabella Scroccaro";
    String creator_type "person";
    String creator_url "https://www.ogs.it/it/users/isabella-scroccaro";
    String data_creation "2025-04-07";
    String data_format_original "NetCDF";
    String data_type "Grid";
    String data_update "2025-11-04";
    String data_update_frequence "never";
    String data_version "nan";
    Float64 Easternmost_Easting 2401100.0;
    String format "netCDF";
    Float64 geospatial_lat_max 5070800.0;
    Float64 geospatial_lat_min 5059500.0;
    Float64 geospatial_lat_resolution 100.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 2401100.0;
    Float64 geospatial_lon_min 2369600.0;
    Float64 geospatial_lon_resolution 100.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-09-08T13:55:28Z (local files)
2026-09-08T13:55:28Z http://laguna.ogs.it/griddap/itineris_mgl_daily_bgc_nitrate.das";
    String identifier "\"null\"";
    String infoUrl "\"null\"";
    String inspire "Oceanographic geographical features";
    String institution "OGS - Trieste";
    String institution_edmo_code "150";
    String institution_edmo_uri "https://edmo.seadatanet.org/report/150";
    String institution_ror_code "04y4t7k95";
    String institution_ror_uri "https://ror.org/04y4t7k95";
    String keywords "biogeochemistry, Marano Grado Lagoon, SHYFEM-BFM";
    String keywords_vocabulary "GCMD Science Keywords,GCOS Essential Climate Variables";
    String license "CC-BY 4.0";
    String license_url "https://creativecommons.org/licenses/by/4.0/";
    String naming_authority "\"null\"";
    Float64 Northernmost_Northing 5070800.0;
    String platform_name "SHYFEM-BFM Model";
    String platform_organization_managing "OGS - Trieste";
    String platform_organization_owning "OGS - Trieste";
    String platform_reference_person "Celia Laurent";
    String project_code "IR0000032";
    String Project_DOI "\"null\"";
    String project_edmerp "\"null\"";
    String project_edmerp_uri "\"null\"";
    String project_id "\"null\"";
    String project_name "\"null\"";
    String project_statement "\"null\"";
    String references "Model info: http://www.ismar.cnr.it/shyfem";
    String RI_abstract "The International Centre for Advanced Studies on River-Sea Systems (DANUBIUS-RI) is a distributed research infrastructure building on existing expertise to support interdisciplinary research on large river-sea (RS) systems.";
    String RI_coordin_organization "GeoEcoMar";
    String RI_coordin_organization_edmo_code "850";
    String RI_coordin_organization_edmo_uri "https://edmo.seadatanet.org/report/850";
    String RI_coordinating_person "Adrian Stanica";
    String RI_geographical_coverage "European mainland,Mediterranean Region,Northeast Atlantic Ocean";
    String RI_name "DANUBIUS-RI - International Centre for Advanced Studies on River-Sea Systems";
    String RI_short_name "DANUBIUS-RI";
    String RI_start_date "2016-03-16";
    String source "Model data produced by SHYFEM-BFM at OGS - Trieste";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 5059500.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "OGS_OCE_MGL_ANALYSIS_BIO: The dataset contains biogeochemical variables in hindcast mode for the years 2010-2014, covering the Marano and Grado Lagoon domain. The numerical model implemented is SHYFEM (System of HYdrodynamic Finite Element Modules), a finite-element hydrodynamic model developed by CNR-ISMAR (Umgiesser et al., 2014). SHYFEM is a numerical modelling system designed for simulating circulation in open seas, coastal zones, lagoons, deltas, estuaries, and lakes. It can be coupled with various state-of-the-art wave models (e.g., WW3, WWM) and employed to study extreme marine-coastal events such as storm surges, high waves, and saltwater intrusion. Additionally, SHYFEM is utilised for research on sediment dynamics, contaminant dispersion, and water quality. The model implementation aims to reconstruct the hydrodynamics of the Grado Marano Lagoon. This dataset has immediate applications in coastal management and supports research on climate change. CMEMS reanalysis data were used for boundary conditions. Validation was performed using in situ data, and the following statistical metrics were computed: RMSE, BIAS, and R². No quality control method was applied, and the datasets were post-processed (interpolated onto a regular grid from the original unstructured grid). The dataset is provided in NetCDF format, produced by OGS, Trieste.";
    String time_coverage_end "2014-12-31T12:00:00Z";
    String time_coverage_start "2010-01-01T12:00:00Z";
    String title "Daily Hindcast of SHYFEM-BFM application to the Marano Grado Lagoon years 2010-2014 (Nitrates)";
    Float64 Westernmost_Easting 2369600.0;
  }
}

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.