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ERDDAP > griddap > Make a Graph

Dataset Title:  SST, Blended, Global, EXPERIMENTAL (5 Day Composite)
Dataset ID:  erdBAssta5day RSS Subscribe
Institution:  NOAA CoastWatch, West Coast Node
Information:  Summary | Variables | Background | Data Access Form

Graph Type: 
X Axis: 
Y Axis: 
Color: 

Dimension Ranges    Start    Stop
time (UTC)     specify just 1 value →
   
altitude (m)     specify just 1 value →
   
latitude (degrees_north)
   
   
longitude (degrees_east)
   
   

Graph Settings
Color Bar:    Continuity:    Scale:
      Min:    Max:    N Sections:
Draw the land mask:
    The graph you specified. Please be patient. It may take a long time to get data from the source.

Things You Can Do With Your Graphs

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0259568e+9, 1.2587184e+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-1.0, 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 "2009-11-21Z";
    String date_issued "2009-11-21Z";
    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
2009-11-21T16:09:21Z NOAA CoastWatch (West Coast Node) and NOAA SFSC ERD
2009-11-24 http://192.168.31.18/thredds/dodsC/satellite/BA/ssta/5day
2009-11-24 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 "EARTH SCIENCE > Oceans > Ocean Temperature > Sea Surface Temperature";
    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, 
CoastWatch, 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 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://192.168.31.18/thredds/dodsC/satellite/BA/ssta/5day";
    Float64 Southernmost_Northing -75.0;
    String standard_name_vocabulary "CF-1.0";
    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 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 gridded data (for example, environmental data from satellites) and graphs of gridded data, via specially formed URLs.
The URLs specify everything: the dataset, the desired file type for the response, and the subset of data that you want to receive.
You can form these URLs by hand or with a computer program,
or (much easier) you can use the dataset's "Data Access Form" (oriented to requests for data)
or the dataset's "Make A Graph" form (oriented to requests for graphs and maps),
both of which generate the URL when the form is submitted.
griddap is a superset of the OPeNDAP DAP hyperslab protocol.

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)]

For details, see the griddap Documentation.
 
ERDDAP Version 1.22

Questions, comments, suggestions? Contact bob dot simons at noaa dot gov.
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