Data Access Form

Dataset Title:	ARGO RFROM v2.1 Temperature data
Institution:	NOAA PMEL, CIMAR (Dataset ID: argo_rfromv21_temp)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	1613	7 days 0h 31m 16s (uneven)

mean_pressure (decibar)	58	34.60526 (uneven)

latitude (degrees_north)	720	0.25 (even)

longitude (degrees_east)	1440	0.25 (even)

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

ocean_temperature (degree_Celsius)

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, 1.703808e+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";
  }
  mean_pressure {
    Float32 actual_range 2.5, 1975.0;
    String Description "The mean pressure";
    String long_name "Mean Pressure";
    String units "decibar";
  }
  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_temperature {
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String Description "mapped ocean conservative temperature (TEOS-10) averaged from upper to lower bounds of mean pressure with the seasonal cycle";
    String long_name "Ocean Temperature";
    String units "degree_Celsius";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.10, 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 
"02/11/2024 v2.1
2024-11-24T13:17:36Z (local files)
2024-11-24T13:17:36Z https://data.pmel.noaa.gov/pmel/erddap/griddap/argo_rfromv21_temp.das";
    String infoUrl "https://www.pmel.noaa.gov/";
    String institution "NOAA PMEL, CIMAR";
    String keywords "ambiental, centro, cimar, data, environmental, investigacao, laboratory, latitude, longitude, marine, marinha, mean, mean_pressure, noaa, ocean, ocean_temperature, pacific, pmel, pressure, rfrom, temperature, time, v2.1";
    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 "RFROM v2.1. NOAA Pacific Marine Environmental Laboratory (PMEL), Centro de Investigacao Marinha e Ambiental (CIMAR) data from a local source.";
    String time_coverage_end "2023-12-29T00:00:00Z";
    String time_coverage_start "1993-01-01T00:00:00Z";
    String title "ARGO RFROM v2.1 Temperature data";
    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.

(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.