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Dataset Title:  Top Dataset, noaa.ersst.v3, err.mnmean (NOAA Extended Reconstructed SST V3), 2.
0°, 1854-present
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Institution:  NOAA/NESDIS/NCDC   (Dataset ID: noaa_esrl_0b98_6e91_aba7)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
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Y Axis:  ?
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time (UTC) ?     specify just 1 value →
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.6605952e+9, 1.5278112e+9;
    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 "Time";
    String prev_avg_period "0000-00-07 00:00:00";
    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 -88.0, 88.0;
    String axis "Y";
    String coordinate_defines "center";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.0, 358.0;
    String axis "X";
    String coordinate_defines "center";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  err {
    Float32 actual_range 0.04, 1.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    Int16 least_significant_digit 1;
    String level_desc "Surface";
    String long_name "Monthly Mean Error Estimate of Sea Surface Temperature";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    Int16 precision 2;
    String statistic "Mean";
    Float32 valid_range 0.0, 1.0;
    String var_desc "Normalized Error Variance";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String citation 
"Smith, T.M., R.W. Reynolds, Thomas C. Peterson, and Jay Lawrimore 2007: Improvements to NOAA's Historical Merged Land-Ocean Surface Temperature lysis (1880-2006). In press. Journal of Climate (ERSSTV3).
Smith, T.M., and R.W. Reynolds, 2003: Extended Reconstruction of Global Sea Surface Temperatures Based on COADS Data (1854-1997). Journal of Climate, 16, 1495-1510. ERSSTV1
Smith, T.M., and R.W. Reynolds, 2004: Improved Extended Reconstruction of SST (1854-1997). Journal of Climate, 17, 2466-2477.ERSSTv2";
    String comment 
"The extended reconstructed sea surface temperature (ERSST)
was constructed using the most recently available 
Comprehensive Ocean-Atmosphere Data Set (COADS) SST data 
and improved statistical methods that allow stable 
reconstruction using sparse data.Currently, ERSST version 2 ( ERSST.v2 ) and version 3 ( ERSST.v3 ) are available from NCDC.
ERSST.v3 is an improved extended reconstruction over version 2.
Most of the improvements are justified by testing with simulated data.
The major differences are caused by the improved low-frequency ( LF ) tuning of ERSST.v3 
which reduces the SST anomaly damping before 1930 using the optimized parameters.
Beginning in 1985, ERSST.v3 is also improved by explicitly including
bias-adjusted satellite infrared data from AVHRR.";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "ncdc.webmaster@noaa.gov";
    String creator_name "NOAA NCDC";
    String creator_type "institution";
    String creator_url "https://www.ncdc.noaa.gov/";
    String dataset_title "Extended Reconstructed Sea Surface Temperature (ERSST)";
    Float64 Easternmost_Easting 358.0;
    Float64 geospatial_lat_max 88.0;
    Float64 geospatial_lat_min -88.0;
    Float64 geospatial_lat_resolution 2.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 358.0;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 2.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu Jul  1 14:04:15 2010: ncatted -O -a _FillValue,err,o,s,32767 err.mnmean.v3b.nc
created 09/2007 by CAS
2018-07-17T04:22:03Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/noaa.ersst.v3/err.mnmean.nc
2018-07-17T04:22:03Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_0b98_6e91_aba7.das";
    String id "Datasets/noaa.ersst.v3/err.mnmean.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/noaa.ersst.v3/err.mnmean.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.html";
    String institution "NOAA/NESDIS/NCDC";
    String keywords "advanced, atmosphere, avhrr, center, climatic, coads, comprehensive, data, dataset, environmental, err.mnmean, error, estimate, extended, high, icoads, information, infrared, international, latitude, longitude, mean, month, monthly, national, ncdc, ncei, nesdis, noaa, noaa.ersst.v3, ocean, radiometer, reconstructed, resolution, satellite, sea, service, set, sst, statistics, surface, temperature, time, top, very, vhrr";
    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 88.0;
    String platform "Model";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.html";
    String source "NOAA/NESDIS/National Climatic Data Center";
    String source_doc "https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v3b";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/noaa.ersst.v3/err.mnmean.nc";
    Float64 Southernmost_Northing -88.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"NOAA Extended Reconstructed SST V3. The extended reconstructed sea surface temperature (ERSST)
was constructed using the most recently available 
Comprehensive Ocean-Atmosphere Data Set (COADS) SST data 
and improved statistical methods that allow stable 
reconstruction using sparse data.Currently, ERSST version 2 ( ERSST.v2 ) and version 3 ( ERSST.v3 ) are available from National Climatic Data Center (NCDC).
ERSST.v3 is an improved extended reconstruction over version 2.
Most of the improvements are justified by testing with simulated data.
The major differences are caused by the improved low-frequency ( LF ) tuning of ERSST.v3 
which reduces the SST anomaly damping before 1930 using the optimized parameters.
Beginning in 1985, ERSST.v3 is also improved by explicitly including
bias-adjusted satellite infrared data from Advanced Very High Resolution Radiometer (AVHRR).";
    String testOutOfDate "now-86days";
    String time_coverage_end "2018-06-01T00:00:00Z";
    String time_coverage_start "1854-01-01T00:00:00Z";
    String title "Top Dataset, noaa.ersst.v3, err.mnmean (NOAA Extended Reconstructed SST V3), 2.0°, 1854-present";
    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 (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.

griddap request URLs must be in the form
https://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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