ERDDAP > griddap > Data Access Form

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 | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (UTC)				494	30 days 10h 30m 55s (uneven)
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)

sst (Monthly Mean of Sea Surface Temperature, degree_C)

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (latitude longitude data only; longitude must be all below or all above 180). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .graph - View a Make A Graph web page. .help - View a web page with a description of griddap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download time,latitude,longitude,otherVariables as an ODV Generic Spreadsheet File (.txt). .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .geotif - View a grayscale GeoTIFF .tif file (for latitude longitude data; longitude must be all below or all above 180). .kml - View a Google Earth .kml file (for latitude, longitude data only). .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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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 
"2024-11-06T09:35:41Z https://psl.noaa.gov/thredds/dodsC/Datasets/noaa.oisst.v2/sst.mnmean.nc
2024-11-06T09:35:41Z https://er1.s4oceanice.eu/erddap/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;
  }
}

 

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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 Data Access Protocol (DAP) and its projection constraints.

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.

 

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