Data Access Form

Dataset Title:	1 X 1 global mapped field of total alkalinity from the GLODAPv2 data product. Mapping is performed using the DIVA software (Troupin et al., 2012). Error fields ...
Institution:	??? (Dataset ID: GLODAPv2_2016b_MappedClimatologies_TAlk)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
depth (m)	33	1.0 (even)

latitude (degrees_north)	180	1.0 (even)

longitude (degrees_east)	360	1.0 (even)

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

TAlk (seawater alkalinity expressed as mole equivalent per unit mass, micro-mol kg-1)

TAlk_error (total alkalinity error, micro-mol kg-1)

TAlk_Input_mean (bin averaged input data, micro-mol kg-1)

TAlk_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)

TAlk_Input_N (number of data in bins)

TAlk_relerr (relative error)

File type: (more information)

(Documentation / Bypass this form)

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

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 0, 32;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.5, 89.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.5, 179.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  TAlk {
    UInt32 _ChunkSizes 1, 180, 360;
    Float64 _FillValue -999.0;
    String long_name "seawater alkalinity expressed as mole equivalent per unit mass";
    Float64 missing_value -999.0;
    String time_period "For all surfaces (1-33) data from the years 1972-2013 inclusive have been used for mapping";
    String units "micro-mol kg-1";
  }
  TAlk_error {
    UInt32 _ChunkSizes 1, 180, 360;
    Float64 _FillValue -999.0;
    String long_name "total alkalinity error";
    Float64 missing_value -999.0;
    String time_period "For all surfaces (1-33) data from the years 1972-2013 inclusive have been used for mapping";
    String units "micro-mol kg-1";
  }
  TAlk_Input_mean {
    UInt32 _ChunkSizes 1, 180, 360;
    Float64 _FillValue -999.0;
    String Description "GLODAPv2.2016b input data, vertically interpolated using a cubic hermite spline function and bin-averaged into a 1 X 1 grid. Mean within the given grid cell.";
    String long_name "bin averaged input data";
    Float64 missing_value -999.0;
    String time_period "For all surfaces (1-33) data from the years 1972-2013 inclusive have been binned and averaged";
    String units "micro-mol kg-1";
  }
  TAlk_Input_std {
    UInt32 _ChunkSizes 1, 180, 360;
    Float64 _FillValue -999.0;
    String long_name "standard deviation of bin averaged input data";
    Float64 missing_value -999.0;
    String time_period "For all surfaces (1-33) data from the years 1972-2013 inclusive have been binned and averaged";
    String units "micro-mol kg-1";
  }
  TAlk_Input_N {
    UInt32 _ChunkSizes 1, 180, 360;
    Float64 _FillValue -999.0;
    String long_name "number of data in bins";
    Float64 missing_value -999.0;
    String time_period "For all surfaces (1-33) data from the years 1972-2013 inclusive have been binned and averaged";
  }
  TAlk_relerr {
    UInt32 _ChunkSizes 1, 180, 360;
    Float64 _FillValue -999.0;
    String Description "Mapping error relative to the variance in the input data. Calculated as error divided by the standard deviation in the data.";
    String long_name "relative error";
    Float64 missing_value -999.0;
    String time_period "For all surfaces (1-33) data from the years 1972-2013 inclusive have been used for mapping";
  }
  NC_GLOBAL {
    String CDI "Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)";
    String Citation "Cite as: Lauvset, Siv K., Key, Robert M., Olsen, Are, van Heuven, Steven, Velo, Anton, Lin, Xiaohua, Schirnick, Carsten, Kozyr, Alex, Tanhua, Toste, Hoppema, Mario, Jutterstrom, Sara, Steinfeldt, Reiner, Jeansson, Emil, Ishii, Masao, Perez, Fiz F., Suzuki, Toru, and Watelet, Sylvain: A new global interior ocean mapped climatology: the 1x1 GLODAP version 2, Earth Syst. Sci. Data. Discuss., doi:10.5194/essd-2015-43, in review, 2016.";
    String comment "Ttza2hhod0eend0s ai2eLlt  a iufucosivonilsr,neer gstet   lhaaeaenrtt te iph aoarulnrop. apd lmoaEeegtSnteeSgendDtri Dhscv    epswcrachaspairielcborehon.; ns  i  M3ncoa) afj Gl oaLcGr OuL dDlOciAaDhfPtAafvePne2dvgr( 2ee2u sn0ss t1iui 6nbna-gmcp0 ilp1ttur-htdo1eeea9 d:c)T  h Tt1 wDo)te   ormCa eeD m tIcashAhpeoCappd nia.ognr negaT   th2itee0nhds1 e e6t i -hAnC0erta1 con-bt t1oit 9ucwd.n oa dO tRactaerei vyam(i nefsf; oir eroo4r nm)ays  se 1t aw8hhre0ea rE v2e se0 tu 0morn2a fo)d2aw e0c a Eebrd;seeu  e r2anai)r ln ensga oo nnr a ominiwandn lc cdilarezufepedtatdeesh dre t   loirie nenvt v ehGitleLehs Owe.yD   eAo IaPf nrv    2    .    2    0    1    6    b    .";
    String Contact_information "siv.lauvset@uib.no; are.olsen@uib.no";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String Created "Created by Siv K. Lauvset on 12-May-2016 18:39:49";
    String Description "1 X 1 global mapped field of total alkalinity from the GLODAPv2 data product. Mapping is performed using the DIVA software (Troupin et al., 2012). Error fields are calculated using the clever poor mans error calculation method in DIVA (Beckers et al., 2014). The error fields represent the mapping error only, and does not include measurement or calculation uncertainties in the input data.";
    Float64 Easternmost_Easting 179.5;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.5;
    Float64 geospatial_lon_min -179.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Tue Mar 26 11:29:16 2024: cdo sellonlatbox,-180,180,-90,90 GLODAPv2.2016b.TAlk.nc GLODAPv2.2016b.TAlk.180.nc
2025-10-23T21:55:24Z (local files)
2025-10-23T21:55:24Z http://erddap.emodnet-physics.eu/erddap/griddap/GLODAPv2_2016b_MappedClimatologies_TAlk.das";
    String infoUrl "???";
    String institution "???";
    String Institution_name "University of Bergen";
    String keywords "al., alkalinity, averaged, bin, bins, carbon, carbon dioxide, co2, data, depth, depth_surface, deviation, dioxide, diva, equivalent, error, expressed, field, fields, global, glodapv2, input, Input_mean, Input_N, Input_std, mapped, mapping, mass, mole, number, per, performed, product, relative, sea, seawater, software, standard, statistics, surface, TAlk, TAlk_error, TAlk_relerr, total, troupin, unit, using, water";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    Float64 Northernmost_Northing 89.5;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "1 X 1 global mapped field of total alkalinity from the GLODAPv2 data product. Mapping is performed using the DIVA software (Troupin et al., 2012). Error fields are calculated using the clever poor mans error calculation method in DIVA (Beckers et al., 2014). The error fields represent the mapping error only, and does not include measurement or calculation uncertainties in the input data.";
    String title "1 X 1 global mapped field of total alkalinity from the GLODAPv2 data product. Mapping is performed using the DIVA software (Troupin et al., 2012). Error fields ...";
    Float64 Westernmost_Easting -179.5;
  }
}

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.