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ERDDAP > griddap > Make a Graph

Dataset Title:  F16 SSMIS daily products (SSMI F16)   RSS
Institution:  NOAA   (Dataset ID: RSS_F16SSMIS_AOML)
Information:  Summary | License | Metadata | Background | Data Access Form
 
Graph Type: 
X Axis: 
Y Axis: 
Color: 
 
Dimension Ranges    Start    Stop
time (UTC)     specify just 1 value →
   
latitude (degrees_north)
   
   
longitude (degrees_east)
   
   
 
Graph Settings
Color Bar:    Continuity:    Scale:
      Min:    Max:    N Sections:
Draw the land mask:
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: and
or view the URL:
(Documentation / Bypass this form ) (File Type information)
    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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Int32 _Netcdf4Dimid 2;
    Float64 actual_range 1.483272e+9, 1.5086736e+9;
    String axis "T";
    String calendar "Gregorian";
    String CoordinateAxisType "Time";
    String ioos_category "Time";
    String long_name "Reference Time";
    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";
    Int32 _Netcdf4Dimid 0;
    Float64 actual_range -89.875, 89.875;
    String axis "Y";
    String CoordinateAxisType "Lat";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Int32 _Netcdf4Dimid 1;
    Float64 actual_range -179.875, 179.875;
    String axis "X";
    String CoordinateAxisType "Lon";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Time_Ascending {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 24.0;
    Float64 colorBarMaximum 24.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Time";
    String long_name "Decimal Hour of the Day, Ascending Passes";
    String standard_name "not defined";
    String units "hour";
    String variable_info "Hour of the Day, Ascending Passes";
  }
  WSPD_MF_Ascending {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 34.2;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Wind";
    String long_name "Surface Wind Speed, Medium Frequency, Ascending Passes";
    String standard_name "Wind";
    String units "m s-1";
    String variable_info "10-meter Surface Wind Speed, Medium Frequency, Ascending Passes";
  }
  Water_Vapor_Ascending {
    Float32 _FillValue NaN;
    Float32 actual_range 2.1, 75.0;
    Float64 colorBarMaximum 75.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Meteorology";
    String long_name "Atmospheric Water Vapor, Ascending Passes";
    String standard_name "atmosphere_mass_content_of_water_vapor";
    String units "mm";
    String variable_info "Atmospheric Water Vapor, Ascending Passes";
  }
  Cloud_LW_Ascending {
    Float32 _FillValue NaN;
    Float32 actual_range -0.05, 1.74;
    Float64 colorBarMaximum 2.45;
    Float64 colorBarMinimum -0.05;
    String coordsys "geographic";
    String ioos_category "Meteorology";
    String long_name "Cloud Liquid Water, Ascending Passes";
    String standard_name "atmosphere_mass_content_of_cloud_liquid_water";
    String units "mm";
    String variable_info "Cloud Liquid Water, Ascending Passes";
  }
  Rain_Rate_Ascending {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 25.0;
    Float64 colorBarMaximum 25.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Meteorology";
    String long_name "Rain Rate, Ascending Passes";
    String standard_name "rainfall_rate";
    String units "mm hr-1";
    String variable_info "Rain Rate, Ascending Passes";
  }
  Time_Descending {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 24.0;
    Float64 colorBarMaximum 24.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Time";
    String long_name "Decimal Hour of the Day, Descending Passes";
    String standard_name "not defined";
    String units "hour";
    String variable_info "Hour of the Day, Descending Passes";
  }
  WSPD_MF_Descending {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 35.2;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Wind";
    String long_name "Surface Wind Speed, Medium Frequency, Descending Passes";
    String standard_name "Wind";
    String units "m s-1";
    String variable_info "10-meter Surface Wind Speed, Medium Frequency, Descending Passes";
  }
  Water_Vapor_Descending {
    Float32 _FillValue NaN;
    Float32 actual_range 1.5, 75.0;
    Float64 colorBarMaximum 75.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Meteorology";
    String long_name "Atmospheric Water Vapor, Descending Passes";
    String standard_name "atmosphere_mass_content_of_water_vapor";
    String units "mm";
    String variable_info "Atmospheric Water Vapor, Descending Passes";
  }
  Cloud_LW_Descending {
    Float32 _FillValue NaN;
    Float32 actual_range -0.05, 1.73;
    Float64 colorBarMaximum 2.45;
    Float64 colorBarMinimum -0.05;
    String coordsys "geographic";
    String ioos_category "Meteorology";
    String long_name "Cloud Liquid Water, Descending Passes";
    String standard_name "atmosphere_mass_content_of_cloud_liquid_water";
    String units "mm";
    String variable_info "Cloud Liquid Water, Descending Passes";
  }
  Rain_Rate_Descending {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 24.9;
    Float64 colorBarMaximum 25.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Meteorology";
    String long_name "Rain Rate, Descending Passes";
    String standard_name "rainfall_rate";
    String units "mm hr-1";
    String variable_info "Rain Rate, Descending Passes";
  }
  NC_GLOBAL {
    String acknowledgement 
"These SSM/I and SSMIS data are produced by Remote Sensing Systems with 
support NASA.  Data are available at www.remss.com.  We are grateful to NOAA 
for access to SSM/I and SSMIS TDR data.";
    String cdm_data_type "Grid";
    String contact "Joaquin.Trinanes@noaa.gov";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "Joaquin.Trinanes@noaa.gov";
    String creator_name "ATLANTIC OCEANWATCH";
    String creator_url "http://cwcgom.aoml.noaa.gov";
    Float64 Easternmost_Easting 179.875;
    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 179.875;
    Float64 geospatial_lon_min -179.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"2017-10-22 http://cwcgom.aoml.noaa.gov/thredds/dodsC/SSMIS/SSMIS_F16.nc
2017-10-22 http://cwcgom.aoml.noaa.gov/griddap/RSS_F16SSMIS_AOML.das";
    String infoUrl "http://cwcgom.aoml.noaa.gov/thredds/dodsC/SSMIS/SSMIS_F16.nc.html";
    String institution "NOAA";
    String keywords 
"ascending, atmosphere, Atmosphere > Atmospheric Water Vapor > Water Vapor,
Atmosphere > Clouds > Cloud Liquid Water/Ice,Atmosphere > Precipitation > 
Precipitation Rate, Atmosphere > Precipitation > Rain, atmosphere_mass_
content_of_cloud_liquid_water, atmosphere_mass_content_of_water_vapor, 
atmospheric, cloud, cloud cover, Cloud_LW_Ascending, Cloud_LW_Descending, 
cloudiness, clouds, content, cover, daily, data, day, decimal, defined, 
descending, earth, environments, f16, frequency, hour, ice, liquid, making, 
mass, measures, medium, meteorology, noaa, not, not defined, passes, 
precipitation, products, rain, Rain_Rate_Ascending, Rain_Rate_Descending, 
rainfall, rainfall_rate, rate, records, remote, remss, research, sensing, 
speed, ssm, ssmi, surface, system, systems, time, Time_Ascending, Time_
Descending, use, vapor, water, Water_Vapor_Ascending, Water_Vapor_Descending, 
wind, WSPD_MF_Ascending, WSPD_MF_Descending";
    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.";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 89.875;
    String source_data "Remote Sensing Systems";
    String sourceUrl "http://cwcgom.aoml.noaa.gov/thredds/dodsC/SSMIS/SSMIS_F16.nc";
    Float64 Southernmost_Northing -89.875;
    String spatial_resolution "0.25 degrees";
    String standard_name_vocabulary "CF Standard Name Table v32";
    String summary 
"These Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave 
Imager Sounder (SSMIS) data products are produced as part of the NASA's 
Making Earth System Data Records for Use in Research Environments (MEaSUREs) 
Program. Remote Sensing Systems generates SSM/I and SSMIS data products using 
a unified, physically based algorithm to simultaneously retrieve the 
products. This algorithm is a product of 20 years of refinements, 
improvements, and verifications.nThe daily files consist of over-ocean 
measurements (geophysical retrievals or parameters) mapped to a regular 0.25-
degree grid complete with data gaps between orbits. Two maps exist for each 
parameter, one of ascending orbit segments and the other of descending orbit 
segments. Data on each of the segment maps are averaged where successive 
orbits cross and are overwritten at the seam or region where the last orbit 
of the day overlaps the first orbit of the day. Daily data files contain time 
maps consisting of the UTC observation time for each set of passes (ascending 
and descending).n Gridded data are organized according to observation date. 
All dates and times are Coordinated Universal Time (UTC), also known as 
Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.";
    Float64 temporal_extent 86400.0;
    String temporal_extent_unit "seconds";
    String time_coverage_end "2017-10-22T12:00:00Z";
    String time_coverage_start "2017-01-01T12:00:00Z";
    String title "F16 SSMIS daily products (SSMI F16)";
    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 is a superset of the
OPeNDAP DAP hyperslab protocol.

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
   http://cwcgom.aoml.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
   http://cwcgom.aoml.noaa.gov/erddap/griddap/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a variable name (e.g., sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][altitude][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.
 


ERDDAP, Version 1.30
Questions, comments, suggestions? Please send an email to joaquin dot trinanes at noaa dot gov
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