Make A Graph

Dataset Title:	CCMP Winds, Atlas FLK v1.1 Derived Surface Winds (Level 3.5a), Global, 0.25 Degree, 1987-2011, Monthly, Lon+/-180
Institution:	NASA JPL (Dataset ID: jplCcmp35aWindMonthly_LonPM180)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Vector X:
Vector Y:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings

Color:

Vector Standard:

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:
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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 5.52096e+8, 5.52096e+8;
    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 "Start of Time Period";
    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 -78.375, 78.375;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.875, 179.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  uwnd {
    Float32 actual_range -14.187569, 20.42813;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String ioos_category "Wind";
    String long_name "u-wind at 10 meters";
    Float32 missing_value -50.00153;
    String standard_name "eastward_wind";
    String units "m/s";
    Float32 valid_range -50.0, 50.0;
  }
  vwnd {
    Float32 actual_range -20.019444, 15.019392;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String ioos_category "Wind";
    String long_name "v-wind at 10 meters";
    Float32 missing_value -50.00153;
    String standard_name "northward_wind";
    String units "m/s";
    Float32 valid_range -50.0, 50.0;
  }
  wspd {
    Float32 actual_range 0.011895454, 22.276169;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "wind speed at 10 meters";
    Float32 missing_value -0.001143393;
    String standard_name "wind_speed";
    String units "m/s";
    Float32 valid_range 0.0, 75.0;
  }
  upstr {
    Float32 actual_range -208.74283, 417.45087;
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String ioos_category "Wind";
    String long_name "u-component of pseudostress at 10 meters";
    Float32 missing_value -1000.031;
    String units "m2/s2";
    Float32 valid_range -1000.0, 1000.0;
  }
  vpstr {
    Float32 actual_range -445.9565, 286.95526;
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum -250.0;
    String ioos_category "Wind";
    String long_name "v-component of pseudostress at 10 meters";
    Float32 missing_value -1000.031;
    String units "m2/s2";
    Float32 valid_range -1000.0, 1000.0;
  }
  nobs {
    Float32 actual_range 0.0, 120.0;
    Float64 colorBarMaximum 60.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Other";
    String long_name "number of observations";
    Float32 missing_value -1.0;
    String units "count";
    Float32 valid_range 0.0, 65532.0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "NASA/GSFC, NOAA";
    String creator_type "institution";
    String defaultGraphQuery "&.draw=vectors";
    Float64 Easternmost_Easting 179.875;
    Float64 geospatial_lat_max 78.375;
    Float64 geospatial_lat_min -78.375;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.875;
    Float64 geospatial_lon_min -179.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"Created by NASA Goddard Space Flight Center under the NASA REASoN CAN: A Cross-Calibrated, Multi-Platform Ocean Surface Wind Velocity Product for Meteorological and Oceanographic Applications
2023-06-07T06:14:21Z https://opendap.jpl.nasa.gov/opendap/allData/ccmp/L3.5a/monthly/flk/1987/month_19870701_v11l35flk.nc.gz
2023-06-07T06:14:21Z http://coastwatch.pfeg.noaa.gov/griddap/jplCcmp35aWindMonthly_LonPM180.das";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/CCMP_MEASURES_ATLAS_L4_OW_L3_5A_MONTHLY_WIND_VECTORS_FLK?ids=Collections&values=Cross-Calibrated%20Multi-Platform%20Ocean%20Surface%20Wind%20Vector%20Analysis%20Fields";
    String institution "NASA JPL";
    String keywords "3.5a, analyses, analysis, assimilated, atlas, atmosphere, atmospheric, averages, ccmp, component, cross-calibrated, derived, downward, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Atmosphere > Atmospheric Winds > Wind Stress, eastward, eastward_wind, ecmwf, flk, gridded, jpl, l3.5, l3.5a, level, measures, meters, monthly, multi-platform, nasa, northward, northward_wind, number, observations, ocean wind, ocean wind vector, ocean wind vectors, pseudostress, speed, stress, surface, surface_downward_eastward_stress, surface_downward_northward_stress, u-component, u-wind, v-component, v-wind, v1.1, vector, vectors, wind, wind data, wind speed, wind_speed, winds";
    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.";
    Float64 Northernmost_Northing 78.375;
    String publisher_email "support-podaac@earthdata.nasa.gov";
    String publisher_name "NASA JPL";
    String sourceUrl "https://opendap.jpl.nasa.gov/opendap/allData/ccmp/L3.5a/monthly/flk/1987/month_19870701_v11l35flk.nc.gz";
    Float64 Southernmost_Northing -78.375;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added monthly mean ocean surface wind and pseudostress to approximate a satellite-only climatological data record. The CCMP datasets combine cross-calibrated satellite winds obtained from Remote Sensing Systems (REMSS) using a Variational Analysis Method (VAM) to produce a high-resolution (0.25 degree) gridded analysis. The CCMP data set includes cross-calibrated satellite winds derived from SSM/I, SSMIS, AMSR-E, TRMM TMI, QuikSCAT, SeaWinds, WindSat and other satellite instruments as they become available from REMSS. 

ftp://podaac-ftp.jpl.nasa.gov/allData/ccmp/L3.5a/docs/ccmp_users_guide.pdf

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. doi: 10.1175/2010BAMS2946.1";
    String time_coverage_end "1987-07-01T00:00:00Z";
    String time_coverage_start "1987-07-01T00:00:00Z";
    String title "CCMP Winds, Atlas FLK v1.1 Derived Surface Winds (Level 3.5a), Global, 0.25 Degree, 1987-2011, Monthly, Lon+/-180";
    Float64 Westernmost_Easting -179.875;
  }
}

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.

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