Make A Graph

Dataset Title:	RSS CCMP V3.1 6-hourly surface winds (Level 4)
Institution:	RSS (Dataset ID: ccmp_31)
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 →

latitude (degrees_north)

longitude (degrees_east)

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

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Then set the File Type: (File Type information)
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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 7.259328e+8, 1.706724e+9;
    String axis "T";
    String coverage_content_type "coordinate";
    String delta_t "0000-00-00 06:00:00";
    String ioos_category "Time";
    String long_name "time of analysis";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
    Float32 valid_max 325074.0;
    Float32 valid_min 325056.0;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String coordinate_defines "center";
    String coverage_content_type "coordinate";
    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 0.125, 359.875;
    String axis "X";
    String coordinate_defines "center";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 360.0;
    Float32 valid_min 0.0;
  }
  uwnd {
    Float32 _FillValue -9999.0;
    String ancillary_variables "nobs";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coverage_content_type "physicalMeasurement";
    String height "10 meters above sea-surface";
    String ioos_category "Wind";
    String long_name "u-wind vector component at 10 meters";
    String standard_name "eastward_wind";
    String units "m s-1";
    Float32 valid_max 100.0;
    Float32 valid_min -100.0;
  }
  vwnd {
    Float32 _FillValue -9999.0;
    String ancillary_variables "nobs";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coverage_content_type "physicalMeasurement";
    String height "10 meters above sea-surface";
    String ioos_category "Wind";
    String long_name "v-wind vector component at 10 meters";
    String standard_name "northward_wind";
    String units "m s-1";
    Float32 valid_max 100.0;
    Float32 valid_min -100.0;
  }
  ws {
    Float32 _FillValue -9999.0;
    String ancillary_variables "nobs";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "physicalMeasurement";
    String height "10 meters above sea-surface";
    String ioos_category "Wind";
    String long_name "wind speed at 10 meters";
    String standard_name "wind_speed";
    String units "m s-1";
    Float32 valid_max 140.0;
    Float32 valid_min 0.0;
  }
  nobs {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "auxiliaryInformation";
    String ioos_category "Statistics";
    String long_name "number of observations used to derive wind vector components";
    String standard_name "number_of_observations";
    Float32 valid_max 100.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String base_date "Y2024 M01 D31";
    String cdm_data_type "Grid";
    String contact "Remote Sensing Systems, support@remss.com";
    String contributor_name "Carl Mears, Tong Lee, Frank Wentz";
    String contributor_role "Principal-Investigator, Co-Investigator, Co-Investigator";
    String Conventions "CF-1.10, ACDD-1.3, COARDS";
    String creator_email "support@remss.com";
    String creator_name "Remote Sensing Systems";
    String creator_type "institution";
    String creator_url "http://www.remss.com/";
    String data_structure "grid";
    String date_created "2024-04-02T03:02:33.958960Z";
    String doi "10.5067/CCMP-6HW10M-L4V31";
    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 
"2024-04-02T03:02:33.958960Z - netCDF generated from original data using Python 3.10 and xarray RSS using files: P:\\CCMP\\MEaSUREs\\era5_current_corrected_adj4_v31\\v3.1\\native\\y2024\\M01\\D31\\vam_v3.1.analysis.t20240131.z00.dat,P:\\CCMP\\MEaSUREs\\era5_current_corrected_adj4_v31\\v3.1\\native\\y2024\\M01\\D31\\vam_v3.1.analysis.t20240131.z06.dat,P:\\CCMP\\MEaSUREs\\era5_current_corrected_adj4_v31\\v3.1\\native\\y2024\\M01\\D31\\vam_v3.1.analysis.t20240131.z12.dat,
2024-12-12T14:03:12Z (local files)
2024-12-12T14:03:12Z https://coastwatch.pfeg.noaa.gov/griddap/ccmp_31.das";
    String infoUrl "http://www.remss.com/";
    String institute_id "RSS";
    String institution "RSS";
    String instrument "Earth Remote Sensing Instruments>Passive Remote Sensing>Spectrometers/Radiometers>Imaging Spectrometers/Radiometers>SSMIS, Earth Remote Sensing Instruments>Passive Remote Sensing>Spectrometers/Radiometers>Imaging Spectrometers/Radiometers>SSMIS, Earth Remote Sensing Instruments>Passive Remote Sensing>Spectrometers/Radiometers>Imaging Spectrometers/Radiometers>SSMIS, Earth Remote Sensing Instruments>Passive Remote Sensing>Spectrometers/Radiometers>Imaging Spectrometers/Radiometers>AMSRE, Earth Remote Sensing Instruments>Passive Remote Sensing>Spectrometers/Radiometers>Imaging Spectrometers/Radiometers>GMI, Earth Remote Sensing Instruments>Active Remote Sensing>Scatterometers>ASCAT, Earth Remote Sensing Instruments>Active Remote Sensing>Scatterometers>ASCAT";
    String instrument_vocabulary "GCMD instrument keywords";
    String keywords "10km - < 50km or approximately 0.09 degree - < 0.5 degree, 6-hourly, atmosphere, atmospheric, ccmp, component, components, data, derive, direction, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Atmosphere Winds > Surface Winds > Wind Direction, Earth Science > Atmospheric Winds > Surface Winds > Wind Speed, Earth Science > Oceans > Ocean Winds, eastward, eastward_wind, hour, hourly, latitude, level, longitude, meters, nobs, northward, northward_wind, number, number_of_observations, observations, ocean, oceans, rss, science, speed, statistics, surface, time, u-wind, used, uwnd, v-wind, v3.1, vector, vwnd, wind, wind_speed, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "This work is licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/";
    String long_name "RSS CCMP 6-Hourly 10 Meter Surface Winds Level 4 Version 3.1";
    String naming_authority "gov.nasa";
    Float64 Northernmost_Northing 89.875;
    String platform "Space-based Platforms>Earth Observation Satellites>Defense Meteorological Satellite Program (DMSP)>DMSP 5D-3/F16, Space-based Platforms>Earth Observation Satellites>Defense Meteorological Satellite Program (DMSP)>DMSP 5D-3/F17, Space-based Platforms>Earth Observation Satellites>Defense Meteorological Satellite Program (DMSP)>DMSP 5D-3/F18, Space-based Platforms>Earth Observation Satellites>GCOM-W1, Space-based Platforms>Earth Observation Satellites>GPM, Space-based PlatformsEarth Observation Satellites>Meteorological Operational Satellite (METOP)>METOP-A, Space-based PlatformsEarth Observation Satellites>Meteorological Operational Satellite (METOP)>METOP-B";
    String platform_vocabulary "GCMD platform keywords";
    String processing_level "L4";
    String product_version "3.1";
    String program "NASA/Ocean Vector Winds Science Team";
    String project "RSS Cross-Calibrated Multi-Platform Ocean Surface Wind Project";
    String publisher_email "podaac@podaac.jpl.nasa.gov";
    String publisher_institution "NASA/JPL/PO.DAAC";
    String publisher_name "Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA";
    String publisher_type "institution";
    String publisher_url "https://podaac.jpl.nasa.gov";
    String references "Mears, C.; Lee, T.; Ricciardulli, L.; Wang, X.; Wentz, F. Improving the Accuracy of the Cross-Calibrated Multi-Platform (CCMP) Ocean Vector Winds. Remote Sens. 2022, 14, 4230. https://doi.org/10.3390/rs14174230, Atlas, R., R. N. Hoffman, J. Ardizzone, S. M. Leidner, J. C. Jusem, D. K. Smith, D. Gombos, 2011: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull. Amer. Meteor. Soc., 92, 157-174. https://doi.org/10.1175/2010BAMS2946.1";
    String short_name "CCMP_WINDS_10M6HR_L4_V3.1";
    String source "blend of satellite and ERA-5 winds";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "RSS VAM 6-hour analyses using ERA-5 wind reanalyses as background.  Satellite winds (vector and scalar) are assimilated using a variational analysis identical to that used in CCMP V1.1. The ERA5 winds are adjusted to match winds from scatteromters before use in the analysis.";
    String time_coverage_end "2024-01-31T18:00:00Z";
    String time_coverage_start "1993-01-02T00:00:00Z";
    String title "RSS CCMP V3.1 6-hourly surface winds (Level 4)";
    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.

(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.