Make A Graph

Dataset Title:	MOLOCH swe 2011
Institution:	Consorzio LaMMA (Dataset ID: MOLOCH_2011_30ab_bb15_ecf4)
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:

(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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.2939264e+9, 1.3254588e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "GRIB forecast or observation 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";
    Float32 actual_range 34.21235, 49.64985;
    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 2.4, 19.873;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Water_equivalent_of_accumulated_snow_depth_surface {
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum 0.0;
    String description "Water equivalent of accumulated snow depth";
    String Grib2_Generating_Process_Type "Analysis";
    String Grib2_Level_Desc "Ground or water surface";
    Int32 Grib2_Level_Type 1;
    Int32 Grib2_Parameter 0, 1, 13;
    String Grib2_Parameter_Category "Moisture";
    String Grib2_Parameter_Discipline "Meteorological products";
    String Grib2_Parameter_Name "Water equivalent of accumulated snow depth";
    String Grib2_Statistical_Process_Type "UnknownStatType--1";
    String Grib_Variable_Id "VAR_0-1-13_L1";
    String ioos_category "Ice Distribution";
    String long_name "Water equivalent of accumulated snow depth @ Ground or water surface";
    Float32 missing_value NaN;
    String standard_name "liquid_water_content_of_surface_snow";
    String units "kg.m-2";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Rome (RSMC)";
    String creator_type "institution";
    String DOI "https://doi.org/10.80359/qftt-jr14";
    Float64 Easternmost_Easting 19.873;
    String file_format "GRIB-2";
    Float64 geospatial_lat_max 49.64985;
    Float64 geospatial_lat_min 34.21235;
    Float64 geospatial_lat_resolution 0.0247;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 19.873;
    Float64 geospatial_lon_min 2.4;
    Float64 geospatial_lon_resolution 0.034600000000000006;
    String geospatial_lon_units "degrees_east";
    String GRIB_table_version "4,0";
    Float64 grid_mapping_earth_radius 6371229.0;
    String grid_mapping_name "latitude_longitude";
    String history 
"Read using CDM IOSP GribCollection v3
2025-01-09T23:08:29Z (local files)
2025-01-09T23:08:29Z https://erddap.lamma.toscana.it/griddap/MOLOCH_2011_30ab_bb15_ecf4.das";
    String infoUrl "https://lamma.toscana.it";
    String institution "Consorzio LaMMA";
    String keywords "accumulated, content, cryosphere, data, depth, distribution, earth, Earth Science > Cryosphere > Snow/Ice > Snow Water Equivalent, Earth Science > Terrestrial Hydrosphere > Snow/Ice > Snow Water Equivalent, equivalent, ground, hydrosphere, ice, ice distribution, liquid, liquid_water_content_of_surface_snow, local, rome, rsmc, science, snow, source, surface, terrestrial, time, water, Water_equivalent_of_accumulated_snow_depth_surface";
    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.";
    Float64 Northernmost_Northing 49.64985;
    String Originating_or_generating_Center "Rome (RSMC)";
    String Originating_or_generating_Subcenter "National Research Council/Institute of Atmospheric Sciences and Climate (CNR-ISAC)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 34.21235;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "MOLOCH swe 2011";
    String time_coverage_end "2012-01-01T23:00:00Z";
    String time_coverage_start "2011-01-02T00:00:00Z";
    String title "MOLOCH swe 2011";
    String Type_of_generating_process "Analysis";
    Float64 Westernmost_Easting 2.4;
  }
}

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.