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Dataset Title:	NOAA - Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 High Resolution Dataset
Institution:	National Oceanic and Atmospheric Administration (NOAA) (Dataset ID: NOAA_OISST_v2)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
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

)

Click on the map to specify a new center point.

Zoom:

[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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.760128e+8, 1.6725312e+9;
    String avg_period "0000-01-00 00:00:00";
    String axis "T";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    String prev_avg_period "0000-00-07 00:00:00";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.5, 89.5;
    String axis "Y";
    String coordinate_defines "center";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.5, 359.5;
    String axis "X";
    String coordinate_defines "center";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    Float32 actual_range -1.7999996, 35.56862;
    String cell_methods "time: mean (monthly from weekly values interpolated to daily)";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    Int16 least_significant_digit 2;
    String level_desc "Surface";
    String long_name "Monthly Mean of Sea Surface Temperature";
    Float32 missing_value 327.67;
    String parent_stat "Weekly Mean";
    Int16 precision 2;
    String standard_name "sea_surface_temperature";
    String statistic "Mean";
    String units "degree_C";
    Float32 valid_range -5.0, 40.0;
    String var_desc "Sea Surface Temperature";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String citation "Huang, B., C. Liu, V. Banzon, E. Freeman, G. Graham, B. Hankins, T. Smith, and H.-M. Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1, Journal of Climate, 34, 2923-2939. doi: 10.1175/JCLI-D-20-0166.1. Accessed via OCEAN:ICE on YYYY-MM-DD.";
    String comment 
"Data described in  Reynolds, R.W., N.A. Rayner, T.M.
Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite
SST Analysis for Climate, J. Climate";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "ncei.info@noaa.gov";
    String creator_name "National Centers for Environmental Information (NCEI)";
    String creator_type "Organisation";
    String creator_url "https://www.ncep.noaa.gov/";
    String data_doi "10.1175/JCLI-D-20-0166.1";
    String dataset_title "NOAA Optimum Interpolation (OI) SST V2";
    Float64 Easternmost_Easting 359.5;
    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 359.5;
    Float64 geospatial_lon_min 0.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-06T09:34:36Z https://psl.noaa.gov/thredds/dodsC/Datasets/noaa.oisst.v2/sst.mnmean.nc
2024-11-06T09:34:36Z https://er1.s4oceanice.eu/griddap/NOAA_OISST_v2.das";
    String infoUrl "https://psl.noaa.gov/thredds/catalog/Datasets/noaa.oisst.v2.highres/catalog.html";
    String institution "National Oceanic and Atmospheric Administration (NOAA)";
    String institution_country "US";
    String institution_edmo_code "5759";
    String keywords "Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature (Bd24A9A9-7D52-4C29-B2A0-6Cefd216Ae78), Sea Surface Temperature";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC-BY4.0";
    String naming_authority "OCEAN:ICE";
    Float64 Northernmost_Northing 89.5;
    String platform "Model";
    String platform_id_orig "46, 42, 30, 68";
    String platform_type "drifting subsurface profiling float, drifting surface float, ship, satellite";
    String references "https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html";
    String source "satellite observations, in situ observations";
    String source_url "http://www.emc.ncep.noaa.gov/research/cmb/sst_analysis/";
    String sourceUrl "https://psl.noaa.gov/thredds/dodsC/Datasets/noaa.oisst.v2/sst.mnmean.nc";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v85";
    String summary "The NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) is a long term Climate Data Record that incorporates observations from different platforms (satellites, ships, buoys and Argo floats) into a regular global grid. The dataset is interpolated to fill gaps on the grid and create a spatially complete map of sea surface temperature. Satellite and ship observations are referenced to buoys to compensate for platform differences and sensor biases. OISST belongs to a family of products that are sometimes referred to as \"Reynolds SST\" for Richard W. Reynolds, a NOAA scientist who worked to improve the accuracy of the SST analyses by optimizing the advantages of in situ (ship and buoy) and satellite data. Older Reynolds SST products have been retired, except for the 1° weekly OISST. The dataset was developed using a methodology that includes bias adjustment of satellite and ship observations (referenced to buoys) to compensate for platform differences and sensor biases. This proved critical during the Mt. Pinatubo eruption in 1991, when the widespread presence of volcanic aerosols resulted in infrared satellite temperatures that were much cooler than actual ocean temperatures (Reynolds 1993).";
    String time_coverage_end "2023-01-01T00:00:00Z";
    String time_coverage_start "1981-12-01T00:00:00Z";
    String title "NOAA - Optimum Interpolation (OI) Sea Surface Temperature (SST) V2 High Resolution Dataset";
    String variables "time, latitude, longitude, sst";
    Float64 Westernmost_Easting 0.5;
  }
}

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.