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Dataset Title:  SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2.1, Final, Global,
0.25°, 1981-present
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Institution:  NOAA NCEI   (Dataset ID: ncdcOisst21Agg)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< - >|
< <
zlev (m) ?     specify just 1 value →
< <
latitude (degrees_north) ?
< slider >
longitude (degrees_east) ?
< slider >
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.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3.681936e+8, 1.7196624e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Center time of the day";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  zlev {
    Float32 actual_range 0.0, 0.0;
    String ioos_category "Location";
    String long_name "Sea surface height";
    String positive "down";
    String standard_name "sea_surface_height";
    String units "m";
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String grids "Uniform grid from -89.875 to 89.875 by 0.25";
    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 grids "Uniform grid from 0.125 to 359.875 by 0.25";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  sst {
    Float32 _FillValue -9.99;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Daily sea surface temperature";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
    Float32 valid_max 45.0;
    Float32 valid_min -3.0;
  anom {
    Float32 _FillValue -9.99;
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum -3.0;
    String ioos_category "Temperature";
    String long_name "Daily sea surface temperature anomalies";
    String standard_name "surface_temperature_anomaly";
    String units "degree_C";
    Float32 valid_max 12.0;
    Float32 valid_min -12.0;
  err {
    Float32 _FillValue -9.99;
    Float64 colorBarMaximum 0.6;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "WhiteRedBlack";
    String ioos_category "Statistics";
    String long_name "Estimated error standard deviation of analysed_sst";
    String units "degree_C";
    Float32 valid_max 10.0;
    Float32 valid_min 0.0;
  ice {
    Float32 _FillValue -9.99;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "BlackBlueWhite";
    String ioos_category "Ice Distribution";
    String long_name "Sea ice concentration";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
    String _NCProperties "version=2,netcdf=4.8.1,hdf5=1.10.7";
    String cdm_data_type "Grid";
    String comment "Data was converted from NetCDF-3 to NetCDF-4 format with metadata updates in November 2017.";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_email "";
    String creator_name "NOAA NCEI";
    String creator_type "group";
    String creator_url "";
    String date_created "2024-07-14T09:12:00Z";
    String date_modified "2024-07-14T09:12:00Z";
    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 
"Final file created using preliminary as first guess, and 3 days of AVHRR data. Preliminary uses only 1 day of AVHRR data.
New files are downloaded daily from to NOAA NMFS SWFSC ERD by .
2024-07-15T11:09:20Z (local files)
    String id "ncdcOisst21NrtAgg";
    String infoUrl "";
    String institution "NOAA NCEI";
    String instrument "Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Imaging Spectrometers/Radiometers > AVHRR > Advanced Very High Resolution Radiometer";
    String instrument_vocabulary "Global Change Master Directory (GCMD) Instrument Keywords";
    String keywords "advanced, analysed, analysis, anomalies, anomaly, avhrr, centers, concentration, daily, data, day, degree, deviation, distribution, earth, Earth Science > Land Surface > Land Temperature > Land Surface Temperature, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, environmental, error, estimated, final, high, ice, ice distribution, information, interpolation, land, national, ncei, near, nesdis, noaa, nrt, ocean, oceans, oisst, optimum, radiometer, real, resolution, science, sea, sea_surface_temperature, sst, standard, statistics, surface, surface_temperature_anomaly, temperature, time, version, very, vhrr, zlev";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"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.";
    String metadata_link "";
    String naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 89.875;
    String platform "Ships, buoys, Argo floats, MetOp-A, MetOp-B";
    String platform_vocabulary "Global Change Master Directory (GCMD) Platform Keywords";
    String processing_level "NOAA Level 4";
    String product_version "Version v02r01";
    String references "Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder AVHRR SST, Navy AVHRR SST, and NOAA ACSPO SST. Ice data: NCEP Ice and GSFC Ice.";
    String sensor "Thermometer, AVHRR";
    String source "ICOADS, NCEP_GTS, GSFC_ICE, NCEP_ICE, Pathfinder_AVHRR, Navy_AVHRR, NOAA_ACSP";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"This is the final version of the related dataset \"ncdcOisst21NrtAgg\", which has the preliminary, near real time version of these files. These final files are released about 2 weeks after the NRT files. 
NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (Advanced Very High Resolution Radiometer (AVHRR)) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs.  A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002";
    String testOutOfDate "now-17days";
    String time_coverage_end "2024-06-29T12:00:00Z";
    String time_coverage_start "1981-09-01T12:00:00Z";
    String title "SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2.1, Final, Global, 0.25°, 1981-present";
    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{?query}
For example,[(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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