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ERDDAP > griddap > Make A Graph

Dataset Title:  SST, Blended, Global, EXPERIMENTAL (5 Day Composite) Subscribe RSS
Institution:  NOAA CoastWatch, West Coast Node   (Dataset ID: erdBAssta5day)
Information:  Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form
 
Graph Type: 
X Axis: 
Y Axis: 
Color: 
 
Dimensions    Start    Stop
time (UTC)
   
   
altitude (m)     specify just 1 value →
   
latitude (degrees_north)     specify just 1 value →
   
longitude (degrees_east)     specify just 1 value →
   
 
Graph Settings
Marker Type:     Size:
Color: 
Color Bar:    Continuity:    Scale:
      Min:    Max:    N Sections:
Y Axis Minimum:    Maximum:
 
(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)
    Time range:            
[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";
    Float64 actual_range 1.0259568e+9, 1.3671504e+9;
    String axis "T";
    Int32 fraction_digits 0;
    String ioos_category "Time";
    String long_name "Centered Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    Int32 fraction_digits 0;
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -75.0, 75.0;
    String axis "Y";
    String coordsys "geographic";
    Int32 fraction_digits 1;
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.0, 360.0;
    String axis "X";
    String coordsys "geographic";
    Int32 fraction_digits 1;
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    Float32 _FillValue -9999999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    Int32 fraction_digits 1;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value -9999999.0;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String acknowledgement "NOAA NESDIS COASTWATCH, NOAA SWFSC ERD";
    String cdm_data_type "Grid";
    String composite "true";
    String contributor_name "Remote Sensing Systems Inc, JAXA, NASA, OSDPD, CoastWatch";
    String contributor_role "Source of level 2 data.";
    String Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String creator_email "dave.foley@noaa.gov";
    String creator_name "NOAA CoastWatch, West Coast Node";
    String creator_url "http://coastwatch.pfel.noaa.gov";
    String date_created "2013-05-01Z";
    String date_issued "2013-05-01Z";
    Float64 Easternmost_Easting 360.0;
    Float64 geospatial_lat_max 75.0;
    Float64 geospatial_lat_min -75.0;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 360.0;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"Remote Sensing Systems Inc, JAXA, NASA, OSDPD, CoastWatch
2013-05-01T20:02:15Z NOAA CoastWatch (West Coast Node) and NOAA SFSC ERD
2013-05-22T20:39:17Z http://oceanwatch.pfeg.noaa.gov/thredds/dodsC/satellite/BA/ssta/5day
2013-05-22T20:39:17Z http://coastwatch.pfeg.noaa.gov/griddap/erdBAssta5day.das";
    String infoUrl "http://coastwatch.pfeg.noaa.gov/infog/BA_ssta_las.html";
    String institution "NOAA CoastWatch, West Coast Node";
    String keywords 
"5-day,
Oceans > Ocean Temperature > Sea Surface Temperature,
blended, coastwatch, day, degrees, experimental, global, noaa, ocean, oceans,
sea, sea_surface_temperature, sst, surface, temperature, wcn";
    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.";
    String Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String naming_authority "gov.noaa.pfel.coastwatch";
    Float64 Northernmost_Northing 75.0;
    String origin "Remote Sensing Systems Inc, JAXA, NASA, OSDPD, CoastWatch";
    String processing_level "3";
    String project "CoastWatch (http://coastwatch.noaa.gov/)";
    String projection "geographic";
    String projection_type "mapped";
    String references 
"Blended SST from satellites information: This is an experimental product
which blends satellite-derived SST data from multiple platforms using a
weighted mean.  Weights are based on the inverse square of the nominal
accuracy of each satellite. AMSR_E Processing information:
http://www.ssmi.com/amsr/docs/AMSRE_V05_Updates.pdf . AMSR-E Processing
reference: Wentz, F.J., C. Gentemann, and P. Ashcroft. 2005. ON-ORBIT
CALIBRATION OF AMSR-E AND THE RETRIEVAL OF OCEAN PRODUCTS. Remote Sensing
Systems Internal Report. AVHRR Processing Information:
http://www.osdpd.noaa.gov/PSB/EPS/CW/coastwatch.html .  AVHRR Processing
Reference: Walton C. C., W. G. Pichel, J. F. Sapper, D. A. May. The
development and operational application of nonlinear algorithms for the
measurement of sea surface temperatures with the NOAA polar-orbiting
environmental satellites. J.G.R., 103: (C12) 27999-28012, 1998. Cloudmask
reference: Stowe, L. L., P. A. Davis, and E. P. McClain.  Scientific basis
and initial evaluation of the CLAVR-1 global clear/cloud classification
algorithm for the advanced very high resolution radiometer. J. Atmos. Oceanic
Technol., 16, 656-681. 1999. Calibration and Validation: Li, X., W. Pichel,
E. Maturi, P. Clemente-Colon, and J. Sapper. Deriving the operational
nonlinear multi-channel sea surface temperature algorithm coefficients for
NOAA-15 AVHRR/3. International Journal of Remote Sensing, Volume 22, No. 4,
699 - 704, March 2001a. Calibration and Validation: Li, X, W. Pichel, P.
Clemente-Colon, V. Krasnopolsky, and J. Sapper. Validation of coastal sea and
lake surface temperature measurements derived from NOAA/AVHRR Data.
International Journal of Remote Sensing, Vol. 22, No. 7, 1285-1303, 2001b.
GOES Imager Processing Information: http://coastwatch.noaa.gov/goes_sst_overview.html
.  GOES Imager Processing Reference: Wu, X., W. P. Menzel, and G. S. Wade,
1999. Estimation of sea surface temperatures using GOES-8/9 radiance
measurements, Bull. Amer. Meteor. Soc., 80, 1127-1138.  MODIS Aqua Processing
Information: http://oceancolor.gsfc.nasa.gov/DOCS/modis_sst/ . MODIS Aqua
Processing reference: Not Available.";
    String satellite "Aqua, GOES, POES";
    String sensor "AMSR-E, MODIS, Imager, AVHRR";
    String source "satellite observation: Aqua, GOES, POES, AMSR-E, MODIS, Imager, AVHRR";
    String sourceUrl "http://oceanwatch.pfeg.noaa.gov/thredds/dodsC/satellite/BA/ssta/5day";
    Float64 Southernmost_Northing -75.0;
    String standard_name_vocabulary "CF-12";
    String summary 
"NOAA OceanWatch provides a blended sea surface temperature (SST) products
derived from both microwave and infrared sensors carried on multiple
platforms.  The microwave instruments can measure ocean temperatures even in
the presence of clouds, though the resolution is a bit coarse when
considering features typical of the coastal environment.  These are
complemented by the relatively fine measurements of infrared sensors.  The
blended data are provided at moderate spatial resolution (0.1 degrees) for
the Global Ocean.  Measurements are gathered by Japan's Advanced Microwave
Scanning Radiometer (AMSR-E) instrument, a passive radiance sensor carried
aboard NASA's Aqua spacecraft, NOAA's Advanced Very High Resolution
Radiometer, NOAA GOES Imager, and NASA's Moderate Resolution Imaging
Spectrometer (MODIS). THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for
scientific evaluation by professional marine scientists.";
    String time_coverage_end "2013-04-28T12:00:00Z";
    String time_coverage_start "2002-07-06T12:00:00Z";
    String title "SST, Blended, Global, EXPERIMENTAL (5 Day Composite)";
    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 Data Access Protocol (DAP) and its projection constraints.

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://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
   http://coastwatch.pfeg.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.
 


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