Make A Graph

Dataset Title:	Sea Surface Wind, NOAA NCEI blended 6hr averaged 0.25° Version 2.0, Science Quality (1987-recent), 6 hour
Institution:	NOAA NESDIS NCEI (Dataset ID: noaacwBlendedWinds6hr)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

zlev (meters)

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 5.527872e+8, 1.7291016e+9;
    String axis "T";
    String calendar "gregorian";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Center Time of the Data";
    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 10.0, 10.0;
    String axis "Z";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "height above sea level";
    String positive "up";
    String standard_name "altitude";
    String units "meters";
    Float32 valid_max 10.0;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.75, 89.75;
    String axis "Y";
    String coverage_content_type "coordinate";
    String grids "uniform grids from -89.75 to 89.75 by 0.25";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 89.75;
    Float32 valid_min -89.75;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.0, 359.75;
    String axis "X";
    String coverage_content_type "coordinate";
    String grids "uniform grids from 0.00 to 359.75 by 0.25";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 359.75;
    Float32 valid_min 0.0;
  }
  u_wind {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coverage_content_type "physicalMeasurement";
    String height "10 m";
    String ioos_category "Wind";
    String long_name "zonal wind component";
    String standard_name "eastward_wind";
    String units "m s-1";
  }
  v_wind {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coverage_content_type "physicalMeasurement";
    String height "10 m";
    String ioos_category "Wind";
    String long_name "meridional wind component";
    String standard_name "northward_wind";
    String units "m s-1";
  }
  mask {
    Int32 _FillValue -9999;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Identifier";
    String long_name "Blended Wind land/ocean/lake/river/model mask";
    String mask_values "0=land, 1=ocean, 2=lake, 3=river, 6=model";
    String standard_name "land_binary_mask";
  }
  NC_GLOBAL {
    String acknowledgement "The gridded data were generated from the multiple satellite observations of DOD, NOAA and NASA (and future others) and wind retrievals of the Remote Sensing Systems, Inc. (http://www.remss.com), using scientific methods such as objective analysis (OA). The OA is only truly objective when the needed statistics are completely known, which may not always be the case. The ERA-5 wind directions and stresses were downloaded from the Copernicus Climate Change Service (C3S) Climate Data Store";
    String cdm_data_type "Grid";
    String contributor_name "Korak Saha, Huai-min Zhang";
    String contributor_role "PI";
    String Conventions "CF-1.7, ACDD-1.3, COARDS";
    String creator_email "ncei.seawinds@noaa.gov";
    String creator_institution "US DOC; NOAA; National Environmental Satellite Data and Information Service; National Centers for Environmental Information";
    String creator_name "NCEI";
    String creator_type "institution";
    String creator_url "https://www.ncei.noaa.gov/products/blended-sea-winds";
    String date_created "2024-11-13T15:19:00Z";
    String date_metadata_modified "2024-11-13T15:19:00Z";
    String date_modified "2024-11-13T15:19:00Z";
    Float64 Easternmost_Easting 359.75;
    String geospatial_bounds "POLYGON ((0 -89.75, 0 89.75, 359.75 89.75, 359.75 -89.75, 0 -89.75))";
    String geospatial_bounds_crs "EPSG:4326";
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -89.75;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_epsg_code "EPSG:4326";
    Float64 grid_mapping_inverse_flattening 298.257223563;
    String grid_mapping_name "latitude_longitude";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String history 
"Simple spatiotemporally weighted Interpolation (SI), V.1.2. Version 1.2 uses updated satellite retrievals by Remote Sensing System, released in September 2006: SSMI V06, TMI V04, QSCAT V03a. AMSRE V05 was also updated using the new SSMI rain rate. V2.0 uses updated retrievals by Remote Sensing System, released in 2017: SSMI V07, TMI V07.1, QSCAT V04, AMSRE V07 and AMSR2 v08.2 released in 2021.
2024-12-13T14:28:23Z (local files)
2024-12-13T14:28:23Z https://coastwatch.noaa.gov/griddap/noaacwBlendedWinds6hr.das";
    String id "uv_6hourly20241016";
    String infoUrl "https://coastwatch.noaa.gov/cwn/products/noaa-ncei-experimental-blended-seawinds-nbs-v2.html";
    String institution "NOAA NESDIS NCEI";
    String instrument "SSM/I, TMI, SEAWINDS, AMSR-E, AMSR2, ASCAT, GMI, WINDSAT, SMAP L-BAND RADAR";
    String instrument_vocabulary "NASA Global Change Master Directory (GCMD) Platform Keywords version 10.2";
    String keywords "0.25-degree, 6-hourly, air-sea flux, air-sea interaction, atmosphere, atmospheric, binary, blended, centers, component, data, degree, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, eastward, eastward_wind, ekman pumping, ekman transport, environmental, hour, hourly, identifier, information, lake, land, land/ocean/lake/river/model, land_binary_mask, mask, meridional, model, national, ncei, nesdis, noaa, northward, northward_wind, ocean, ocean upwelling, ocean winds, river, science, sea, sea surface winds, sea winds, surface, time, u_wind, v_wind, version, wind, wind stress, wind-driven circulation, winds, windstress, zlev, zonal";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are publically available for use with citation of this data source.";
    String naming_authority "gov.noaa.ncei";
    Float64 Northernmost_Northing 89.75;
    String platform "DMSP 5D-2/F8,DMSP 5D-2/F10,DMSP 5D-2/F11,DMSP 5D-2/F13,DMSP 5D-2/F14,DMSP 5D-3/F15, DMSP 5D-3/F16, DMSP 5D-3/F17, TRMM, QUIKSCAT, AQUA, GCOM-W1, METOP-A, METOP-B, GPM, CORIOLIS, SMAP";
    String platform_vocabulary "NASA Global Change Master Directory (GCMD) Platform Keywords version 10.2";
    String processing_level "NOAA L4";
    String product_version "V2.0";
    String program "NOAA/NCEI Satellite Oceanography Product Area";
    String project "NOAA/NCEI Satellite Oceanography Product Area - Blended Sea Winds";
    String publisher_email "ncei.info@noaa.gov, ncei.seawinds@noaa.gov";
    String publisher_institution "NOAA National Centers for Environmental Information";
    String publisher_name "NOAA National Centers for Environmental Information";
    String publisher_type "institution";
    String publisher_url "https://www.ncei.noaa.gov/";
    String references "https://coastwatch.noaa.gov/cwn/products/noaa-ncei-experimental-blended-seawinds-nbs-v2.html and Zhang, H.-M., J. J. Bates, and R. W. Reynolds, 2006: Assessment of composite global sampling: Sea surface wind speed, Geophysical Research Letters, 33, L17714, https://dx.doi.org/10.1029/2006GL027086";
    String source "Multiple satellite observations: DMSP SSMI F08, F10, F11, F13, F14 F15, F16, F17; TMI; QuikSCAT; AMSR-E; AMSR2; ASCAT; GMI; WINDSAT; SMAP L-BAND RADAR; Direction from ERA5 Reanalysis";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.75;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface vector winds created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds";
    String time_coverage_duration "P1DT6H";
    String time_coverage_end "2024-10-16T18:00:00Z";
    String time_coverage_resolution "P1DT6H";
    String time_coverage_start "1987-07-09T00:00:00Z";
    String title "Sea Surface Wind, NOAA NCEI blended 6hr averaged 0.25° Version 2.0, Science Quality (1987-recent), 6 hour";
    Float64 Westernmost_Easting 0.0;
  }
}

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.