Make A Graph

Dataset Title:	TEST - CMIP6 - 0 - Grid Specification, ACCESS-ESM1-5
Institution:	Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia (Dataset ID: grid_access-esm1-5)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

j (1)

i (1)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
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

)

[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 {
  j {
    Int32 actual_range 0, 299;
    String axis "Y";
    String ioos_category "Location";
    String long_name "j";
    String source_name "j";
    String standard_name "cell index along second dimension";
    String units "1";
  }
  i {
    Int32 actual_range 0, 359;
    String axis "X";
    String ioos_category "Location";
    String long_name "i";
    String source_name "i";
    String standard_name "cell index along first dimension";
    String units "1";
  }
  latitude {
    Float64 _FillValue 1.0e+20;
    String bounds "vertices_latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude";
    Float64 missing_value 1.0e+20;
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    Float64 _FillValue 1.0e+20;
    String bounds "vertices_longitude";
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Location";
    String long_name "longitude";
    Float64 missing_value 1.0e+20;
    String standard_name "longitude";
    String units "degrees_east";
  }
  areacello {
    Float32 _FillValue 1.0e+20;
    String cell_methods "area: sum";
    Float32 colorBarMaximum 1.2e+10;
    Float32 colorBarMinimum 0.0;
    String comment "Horizontal area of ocean grid cells";
    String coordinates "latitude longitude";
    String ioos_category "Other";
    String long_name "Grid-Cell Area for Ocean Variables";
    Float32 missing_value 1.0e+20;
    String standard_name "cell_area";
    String units "m2";
  }
  NC_GLOBAL {
    String activity_id "CMIP";
    String branch_method "standard";
    Float64 branch_time_in_child 0.0;
    Float64 branch_time_in_parent 21915.0;
    String cdm_data_type "Grid";
    String cmor_version "3.4.0";
    String Conventions "CF-1.7 CMIP-6.2, COARDS, ACDD-1.3";
    String creation_date "2019-11-15T14:46:52Z";
    String creator_name "Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia";
    String data_specs_version "01.00.30";
    String defaultGraphQuery "&.draw=surface";
    String experiment "all-forcing simulation of the recent past";
    String experiment_id "historical";
    Int32 forcing_index 1;
    String frequency "fx";
    String further_info_url "https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.historical.none.r1i1p1f1";
    String grid "native atmosphere N96 grid (145x192 latxlon)";
    String grid_label "gn";
    String history 
"2019-11-15T14:46:52Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
2024-04-27T22:15:19Z (local files)
2024-04-27T22:15:19Z https://oceanwatch.pifsc.noaa.gov/griddap/grid_access-esm1-5.das";
    String infoUrl "???";
    Int32 initialization_index 1;
    String institution "Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia";
    String institution_id "CSIRO";
    String keywords "access, access-esm1-5, aspendale, australia, climate, cmip6, commonwealth, data, esm1, industrial, intercomparison, latitude, longitude, model, organisation, output, prepared, project, research, scientific, vertices, vertices_latitude, vertices_longitude, victoria";
    String license "CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/).  Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment.  Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file).  The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.";
    String mip_era "CMIP6";
    String nominal_resolution "250 km";
    String notes "Exp: ESM-historical; Local ID: HI-05; Variable: areacello (['area_t', 'ht'])";
    String parent_activity_id "CMIP";
    String parent_experiment_id "piControl";
    String parent_mip_era "CMIP6";
    String parent_source_id "ACCESS-ESM1-5";
    String parent_time_units "days since 0101-1-1";
    String parent_variant_label "r1i1p1f1";
    Int32 physics_index 1;
    String product "model-output";
    Int32 realization_index 1;
    String realm "ocean";
    String run_variant "forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)";
    String source 
"ACCESS-ESM1.5 (2019): 
aerosol: CLASSIC (v1.0)
atmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)
atmosChem: none
land: CABLE2.4
landIce: none
ocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)
ocnBgchem: WOMBAT (same grid as ocean)
seaIce: CICE4.1 (same grid as ocean)";
    String source_id "ACCESS-ESM1-5";
    String source_type "AOGCM";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "ACCESS-ESM1-5 output prepared for Climate Model Intercomparison Project 6 (CMIP6)";
    String table_id "Ofx";
    String table_info "Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371";
    String title "TEST - CMIP6 - 0 - Grid Specification, ACCESS-ESM1-5";
    String tracking_id "hdl:21.14100/fd041f03-fb0f-4c94-9e15-21733dceac88";
    String variable_id "areacello";
    String variant_label "r1i1p1f1";
    String version "v20191115";
  }
}

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[(2015-06-09T09:00:00Z)][(-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.