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Dataset Title:	TEST - CMIP6 - 2 - 4D variables (Temperature at depth, O2, Chlorophyll concentration, Zooplankton biomass, Horizontal velocities), monthly, SSP245, ACCESS-ESM1-5
Institution:	Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia   (Dataset ID: access-esm1-5_4d_ssp245)
Information:	Summary | License | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (UTC)				1032	30 days 10h 28m 31s (uneven)
depth (m)				50	118.904 (uneven)
j (1)				300	1.0 (even)
i (1)				360	1.0 (even)

Grid Variables (which always also download all of the dimension variables)

thetao (Sea Water Potential Temperature, degree_C)

o2 (Dissolved Oxygen Concentration, mol m-3)

chl (kg m-3)

zooc (Zooplankton Carbon Concentration, mol m-3)

uo (Sea Water X Velocity, m s-1)

vo (Sea Water Y Velocity, m s-1)

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (latitude longitude data only; longitude must be all below or all above 180). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .graph - View a Make A Graph web page. .help - View a web page with a description of griddap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download time,latitude,longitude,otherVariables as an ODV Generic Spreadsheet File (.txt). .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .geotif - View a grayscale GeoTIFF .tif file (for latitude longitude data; longitude must be all below or all above 180). .kml - View a Google Earth .kml file (for latitude, longitude data only). .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4214096e+9, 4.1326416e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    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";
    Float64 actual_range 5.0, 5831.29443359375;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String source_name "lev";
    String standard_name "depth";
    String units "m";
  }
  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";
  }
  thetao {
    Float32 _FillValue NaN;
    String cell_measures "area: areacello volume: volcello";
    String cell_methods "area: mean where sea time: mean";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "Diagnostic should be contributed even for models using conservative temperature as prognostic field.";
    String history "2019-11-15T09:35:06Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).";
    String ioos_category "Temperature";
    String long_name "Sea Water Potential Temperature";
    Float32 missing_value NaN;
    String standard_name "sea_water_potential_temperature";
    String units "degree_C";
  }
  o2 {
    Float32 _FillValue NaN;
    String cell_measures "area: areacello volume: volcello";
    String cell_methods "area: mean where sea time: mean";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum 0.0;
    String comment "'Mole concentration' means number of moles per unit volume, also called 'molarity', and is used in the construction mole_concentration_of_X_in_Y, where X is a material constituent of Y.  A chemical or biological species denoted by X may be described by a single term such as 'nitrogen' or a phrase such as 'nox_expressed_as_nitrogen'.";
    String history "2019-11-15T10:04:19Z altered by CMOR: Converted units from 'mmol m-3' to 'mol m-3'. 2019-11-15T10:04:19Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).";
    String ioos_category "Dissolved O2";
    String long_name "Dissolved Oxygen Concentration";
    Float32 missing_value NaN;
    String standard_name "mole_concentration_of_dissolved_molecular_oxygen_in_sea_water";
    String units "mol m-3";
  }
  chl {
    Float32 _FillValue NaN;
    String cell_measures "area: areacello volume: volcello";
    String cell_methods "area: mean where sea time: mean";
    Float64 colorBarMaximum 3.0e-5;
    Float64 colorBarMinimum 3.0e-8;
    String colorBarScale "Log";
    String comment "Sum of chlorophyll from all phytoplankton group concentrations.  In most models this is equal to chldiat+chlmisc, that is the sum of Diatom Chlorophyll Mass Concentration and Other Phytoplankton Chlorophyll Mass Concentration";
    String history "2019-11-15T10:13:53Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20). 2019-11-15T10:13:59Z altered by CMOR: Converted type from 'd' to 'f'.";
    String ioos_category "Ocean Color";
    String long_name "Mass Concentration of Total Phytoplankton Expressed as Chlorophyll in Sea Water";
    Float32 missing_value NaN;
    String standard_name "mass_concentration_of_phytoplankton_expressed_as_chlorophyll_in_sea_water";
    String units "kg m-3";
  }
  zooc {
    Float32 _FillValue NaN;
    String cell_measures "area: areacello volume: volcello";
    String cell_methods "area: mean where sea time: mean";
    Float64 colorBarMaximum 0.02;
    Float64 colorBarMinimum 1.0e-5;
    String colorBarScale "Log";
    String comment "sum of zooplankton carbon component concentrations";
    String history "2021-07-12T04:06:17Z altered by CMOR: Converted units from 'mmol m-3' to 'mol m-3'. 2021-07-12T04:06:17Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).";
    String ioos_category "Zooplankton Abundance";
    String long_name "Zooplankton Carbon Concentration";
    Float32 missing_value NaN;
    String standard_name "mole_concentration_of_zooplankton_expressed_as_carbon_in_sea_water";
    String units "mol m-3";
  }
  uo {
    Float32 _FillValue NaN;
    String cell_methods "time: mean";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String comment "Prognostic x-ward velocity component resolved by the model.";
    String history "2019-11-15T09:47:44Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).";
    String ioos_category "Currents";
    String long_name "Sea Water X Velocity";
    Float32 missing_value NaN;
    String standard_name "sea_water_x_velocity";
    String units "m s-1";
  }
  vo {
    Float32 _FillValue NaN;
    String cell_methods "time: mean";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String comment "Prognostic y-ward velocity component resolved by the model.";
    String history "2019-11-15T09:46:07Z altered by CMOR: replaced missing value flag (-1e+20) with standard missing value (1e+20).";
    String ioos_category "Currents";
    String long_name "Sea Water Y Velocity";
    Float32 missing_value NaN;
    String standard_name "sea_water_y_velocity";
    String units "m s-1";
  }
  NC_GLOBAL {
    String activity_id "ScenarioMIP";
    String branch_method "standard";
    Float64 branch_time_in_child 60265.0;
    Float64 branch_time_in_parent 60265.0;
    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 "2019-11-15T09:35:09Z";
    String creator_name "Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia";
    String data_specs_version "01.00.30";
    String defaultGraphQuery "thetao[last][0][0:last][0:last]&.draw=surface";
    String experiment "update of RCP4.5 based on SSP2";
    String experiment_id "ssp245";
    String external_variables "areacello volcello";
    Int32 forcing_index 1;
    String frequency "mon";
    String further_info_url "https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.ssp245.none.r1i1p1f1";
    String grid "native atmosphere N96 grid (145x192 latxlon)";
    String grid_label "gn";
    String history 
"2019-11-15T09:35:09Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
2024-04-27T22:06:46Z (local files)
2024-04-27T22:06:46Z https://oceanwatch.pifsc.noaa.gov/erddap/griddap/access-esm1-5_4d_ssp245.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, earth, Earth Science > Oceans > Ocean Temperature > Potential Temperature, esm1, industrial, intercomparison, lev, model, ocean, oceans, organisation, output, potential, prepared, project, research, science, scientific, sea, sea_water_potential_temperature, seawater, temperature, thetao, time, victoria, water";
    String keywords_vocabulary "GCMD Science Keywords";
    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-ssp245; Local ID: SSP-245-05; Variable: thetao (['pot_temp'])";
    String parent_activity_id "CMIP";
    String parent_experiment_id "historical";
    String parent_mip_era "CMIP6";
    String parent_source_id "ACCESS-ESM1-5";
    String parent_time_units "days since 1850-1-1";
    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 "Omon";
    String table_info "Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371";
    String time_coverage_end "2100-12-16T12:00:00Z";
    String time_coverage_start "2015-01-16T12:00:00Z";
    String title "TEST - CMIP6 - 2 - 4D variables (Temperature at depth, O2, Chlorophyll concentration, Zooplankton biomass, Horizontal velocities), monthly, SSP245, ACCESS-ESM1-5";
    String tracking_id "hdl:21.14100/bf2d3fc7-89fb-4ff3-aa72-488f16c28993";
    String variable_id "thetao";
    String variant_label "r1i1p1f1";
    String version "v20191115";
  }
}

 

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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 Data Access Protocol (DAP) and its projection constraints.

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.

 

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