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Dataset Title:  SST and Wind Speed, NOAA/NESDIS/STAR, ABI G17-STAR-L3C-v2.71, Pacific Ocean, 0.
02°, 2019-present, Hourly, Lon0360
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Institution:  NOAA/NESDIS/STAR   (Dataset ID: jplNesdisG17v271_Lon0360)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      13596    1h 54m 44s (uneven)
  < slider >
 latitude (degrees_north) ?      9000    -0.02 (even)
  < slider >
 longitude (degrees_east) ?      18000    0.02 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 sea_surface_temperature (degree_C) ?
 quality_level (quality level of SST pixel) ?
 l2p_flags ?
 or_number_of_pixels (number of pixels from the L2Ps contributing to the SST value, 1) ?
 dt_analysis (deviation from SST reference, kelvin) ?
 satellite_zenith_angle (degrees) ?
 sses_bias (SSES bias estimate, degree_C) ?
 sses_standard_deviation (degree_C) ?
 wind_speed (m s-1) ?
 sst_dtime (time difference from reference time, seconds) ?

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 1.571184e+9, 1.664766e+9;
    String axis "T";
    String calendar "Gregorian";
    String comment "Seconds since 1981-01-01 00:00:00";
    String ioos_category "Time";
    String long_name "reference time of sst file";
    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 -89.99, 89.99;
    String axis "Y";
    String comment "Latitudes for locating data";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.01, 359.99;
    String axis "X";
    String comment "Longitude for locating data";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  sea_surface_temperature {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "SST obtained by regression with buoy measurements, sensitive to skin SST. Further information at (Petrenko et al., JGR, 2014; doi:10.1002/2013JD020637)";
    String ioos_category "Temperature";
    String long_name "sea surface sub-skin temperature";
    String source "NOAA";
    String standard_name "sea_surface_subskin_temperature";
    String units "degree_C";
    Float32 valid_max 327.67;
    Float32 valid_min -327.67;
  quality_level {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 6.0;
    Float64 colorBarMinimum 0.0;
    String comment "SST quality levels: 5 corresponds to “clear-sky†pixels and is recommended for operational applications and validation.";
    String flag_meanings "no_data bad_data not_used not_used not_used best_quality";
    Byte flag_values 1, 2, 3, 4, 5;
    String ioos_category "Quality";
    String long_name "quality level of SST pixel";
    Byte valid_max 5;
    Byte valid_min 0;
  l2p_flags {
    UInt16 _FillValue 65535;
    Float64 colorBarMaximum 32000.0;
    Float64 colorBarMinimum 0.1;
    String colorBarScale "Log";
    String comment "L2P common flags in bits 1-6 and data provider flags (from ACSPO mask) in bits 9-16: bit01 (0=IR: 1=microwave); bit02 (0=ocean; 1=land); bit03 (0=no ice; 1=ice); bits04-07 (reserved,set to 0); bit08 (0=anti-solar; 1=solar); bit09 (0=radiance valid; 1=invalid); bit10 (0=night; 1=day); bit11 (0=ocean; 1=land); bit12 (0=good quality data; 1=degraded quality data due to \"twilight\" region); bit13 (0=no glint; 1=glint); bit14 (0=no snow/ice; 1=snow/ice); bits15-16 (00=clear; 01=probably clear; 10=cloudy; 11=clear-sky mask undefined)";
    Int16 flag_masks 1, 2, 4, 128, 256, 512, 1024, 2048, 4096, 8192, 16384, -32768, -16384;
    String flag_meanings "microwave land ice solar invalid day land twilight glint ice probably_clear cloudy mask_undefined";
    String ioos_category "Quality";
    String long_name "L2P flags";
    UInt16 valid_max 32767;
    UInt16 valid_min 65535;
  or_number_of_pixels {
    Int16 _FillValue 0;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String comment "Original number of pixels from the L2Ps contributing to the SST value, not weighted";
    String ioos_category "Statistics";
    String long_name "number of pixels from the L2Ps contributing to the SST value";
    String units "1";
    Int16 valid_max 32767;
    Int16 valid_min 1;
  dt_analysis {
    Float32 _FillValue -12.8;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum -5.0;
    String comment "Deviation from reference SST, i.e., dt_analysis = SST - reference SST";
    String ioos_category "Statistics";
    String long_name "deviation from SST reference";
    String source "CMC0.1deg-CMC-L4-GLOB-v2.0";
    String units "kelvin";
    Float32 valid_max 12.7;
    Float32 valid_min -12.7;
  satellite_zenith_angle {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String comment "satellite zenith angle";
    String ioos_category "Unknown";
    String long_name "satellite zenith angle";
    String units "degrees";
    Byte valid_max 90;
    Byte valid_min -90;
  sses_bias {
    Float32 _FillValue -2.048;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "Bias is derived against Piecewise Regression SST produced by local regressions with buoys. Subtracting sses_bias from sea_surface_temperature produces more accurate estimate of SST at the depth of buoys. Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1)";
    String ioos_category "Statistics";
    String long_name "SSES bias estimate";
    String units "degree_C";
    Float32 valid_max 2.032;
    Float32 valid_min -2.032;
  sses_standard_deviation {
    Float32 _FillValue -0.28;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "Standard deviation of sea_surface_temperature from SST measured by drifting buoys. Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1)";
    String ioos_category "Statistics";
    String long_name "SSES standard deviation";
    String units "degree_C";
    Float32 valid_max 2.27;
    Float32 valid_min -0.27;
  wind_speed {
    Float32 _FillValue -19.2;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String comment "Typically represents surface winds (10 meters above the sea surface)";
    String height "10 m";
    String ioos_category "Wind";
    String long_name "wind speed";
    String source "Wind speed from NCEP GFS data";
    String standard_name "wind_speed";
    String units "m s-1";
    Float32 valid_max 19.05;
    Float32 valid_min -19.05;
  sst_dtime {
    Float32 _FillValue -5.3687091e+8;
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum 0.0;
    String comment "time plus sst_dtime gives seconds since 1981-01-01 00:00:00 UTC";
    String ioos_category "Temperature";
    String long_name "time difference from reference time";
    String units "seconds";
    Float32 valid_max 5.3687091e+8;
    Float32 valid_min -5.3687091e+8;
    String acknowledgement "Please acknowledge the use of these data with the following statement: These data were provided by Group for High Resolution Sea Surface Temperature (GHRSST) and the National Oceanic and Atmospheric Administration (NOAA).";
    String cdm_data_type "Grid";
    Int32 col_count 18000;
    Int32 col_start 0;
    String comment "SSTs are a weighted average of the SSTs of contributing pixels. WARNING: some applications are unable to properly handle signed byte values. If byte values > 127 are encountered, subtract 256 from this reported value.";
    String Conventions "CF-1.7, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "Alex Ignatov";
    String creator_type "person";
    String creator_url "";
    String date_created "2020-07-08T03:41:56Z";
    Float64 Easternmost_Easting 359.99;
    String gds_version_id "02.0";
    Float64 geospatial_lat_max 89.99;
    Float64 geospatial_lat_min -89.99;
    Float64 geospatial_lat_resolution 0.02;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.99;
    Float64 geospatial_lon_min 0.01;
    Float64 geospatial_lon_resolution 0.02;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_horizontal_datum_name "World Geodetic System 1984";
    String grid_mapping_name "latitude_longitude";
    String history 
"Created by the L2-to-L3 conversion tool,  which was developed and provided by NOAA/NESDIS/STAR and CCNY. The version is 4.2.6
    String id "ABI_G17-STAR-L3C-v2.71";
    String infoUrl "";
    String institution "NOAA/NESDIS/STAR";
    String keywords "abi, angle, atmosphere, atmospheric, bias, contributing, data, deviation, difference, dt_analysis, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, environmental, error, estimate, flags, g17, g17-star-l3c-v2.71, information, l2p, l2p_flags, l2ps, l3c, latitude, level, longitude, national, nesdis, noaa, number, ocean, oceans, or_number_of_pixels, pixel, pixels, quality, quality_level, reference, satellite, satellite_zenith_angle, science, sea, sea_surface_subskin_temperature, sea_surface_temperature, sensor, service, single, skin, speed, sses, sses_bias, sses_standard_deviation, sst, sst_dtime, standard, star, statistics, sub, sub-skin, subskin, surface, temperature, time, v2.71, value, wind, wind_speed, winds, zenith";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "GHRSST protocol describes data use as free and open";
    String metadata_link "";
    String naming_authority "org.ghrsst";
    Float64 Northernmost_Northing 89.99;
    String platform "GOES-17";
    String processing_level "L3C";
    String product_version "L2 algorithm V2.71; L3 algorithm V4.2.6";
    String project "Group for High Resolution Sea Surface Temperature";
    String publisher_email "";
    String publisher_name "The GHRSST Project Office";
    String publisher_type "group";
    String publisher_url "";
    String references "Data convention: GHRSST Data Specification (GDS) v2.0. Algorithms: ACSPO-ABI (NOAA/NESDIS/STAR)";
    Int32 row_count 5920;
    Int32 row_start 1540;
    String sensor "ABI";
    String source "l2p_source :";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.99;
    String spatial_resolution "0.02 deg";
    String sst_luts "LUT_ABI_G17_L2C_DEPTH_DAYNIGHT_V01.00_20181002.txt";
    String standard_name_vocabulary "CF Standard Name Table v70";
    Float64 Sub_Lon -137.0;
    String summary "Sea surface temperature and Wind Speed retrievals produced by NOAA/NESDIS/STAR from the ABI sensor on GOES-17.";
    String testOutOfDate "now-3days";
    String time_coverage_end "2022-10-03T03:00:00Z";
    String time_coverage_start "2019-10-16T00:00:00Z";
    String title "SST and Wind Speed, NOAA/NESDIS/STAR, ABI G17-STAR-L3C-v2.71, Pacific Ocean, 0.02°, 2019-present, Hourly, Lon0360";
    Float64 Westernmost_Easting 0.01;


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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