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Dataset Title:  Argo OHCA RFROM Subscribe RSS
Institution:  NOAA PMEL, CIMAR   (Dataset ID: argo_ohca_rfrom)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      1487    7 days (even)
  < slider >
 depth (m) ?      10    217.2222 (uneven)
  < slider >
 latitude (degrees_north) ?      720    0.25 (even)
  < slider >
 longitude (degrees_east) ?      1440    0.25 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 ocean_heat_content_anomaly (10^9 J m^-2) ?

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 7.258464e+8, 1.6245792e+9;
    String axis "T";
    String Description "Time in days since January 1st 1950";
    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 20.0, 1975.0;
    String axis "Z";
    String Description "The mean depth of vertical integration";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String source_name "mean_depth";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String Description "Latitude (positive north)";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.125, 359.875;
    String axis "X";
    String Description "Longitude (positive east)";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ocean_heat_content_anomaly {
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String Description "mapped ocean heat content anomaly (TEOS-10) integrated from upper to lower bounds of mean depth with the seasonal cycle relivite to 2008 to 2020 mean";
    String long_name "Ocean Heat Content Anomaly";
    String units "10^9 J m^-2";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_email "pmel.info@noaa.gov";
    String creator_name "NOAA PMEL, CIMAR";
    String creator_type "institution";
    String creator_url "https://www.pmel.noaa.gov/";
    Float64 Easternmost_Easting 359.875;
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.875;
    Float64 geospatial_lon_min 0.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"10/06/2022 v1.0
2024-03-28T14:00:06Z (local files)
2024-03-28T14:00:06Z https://data.pmel.noaa.gov/pmel/erddap/griddap/argo_ohca_rfrom.das";
    String infoUrl "https://www.pmel.noaa.gov/";
    String institution "NOAA PMEL, CIMAR";
    String keywords "ambiental, anomaly, centro, cimar, content, cycle, data, depth, environmental, heat, investigacao, laboratory, latitude, longitude, marine, marinha, mean, mean_depth, noaa, ocean, ocean_heat_content_anomaly, ohca, pacific, pmel, rfrom, seasonal, time, with";
    String license 
"Data Licenses / Data Usage Restrictions
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.

Unless otherwise noted, data served through this ERDDAP server are 
not quality controlled.  Users may need to do quality control when using 
these data. These data are made available at the users own risk.";
    Float64 Northernmost_Northing 89.875;
    String references "Lyman, J.M. and G.C. Johnson. 2023. Global High-Resolution Random Forest Regression Maps of Ocean Heat Content Anomalies Using in Situ and Satellite Data,Submitted  Journal of Atmospheric and Oceanic Technology,  June 3, 2022.";
    String source "Argo float data, EN4.2.2, CMEMES SSH, NOAA OI SST V2";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "OHCA RFROM with seasonal cycle. NOAA Pacific Marine Environmental Laboratory (PMEL), Centro de Investigacao Marinha e Ambiental (CIMAR) data from a local source.";
    String time_coverage_end "2021-06-25T00:00:00Z";
    String time_coverage_start "1993-01-01T00:00:00Z";
    String title "Argo OHCA RFROM";
    Float64 Westernmost_Easting 0.125;
  }
}

 

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.

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.


 
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