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Dataset Title:  NOAA Extended Reconstructed SST (ERSST), Version 4 (in situ only) (sst.mon.
1971-2000.ltm.v4), 2.0°, 0001
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Institution:  This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/NCDC   (Dataset ID: noaa_esrl_6d0e_a34f_5bb9)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
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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 -6.21357696e+10, -6.2106912e+10;
    String avg_period "0030-00-00 00:00:00";
    String axis "T";
    String climatology "climatology_bounds";
    String climo_period "1971/01/01 - 2000/12/31";
    String delta_t "0000-01-00 00:00:00";
    String interpreted_actual_range "0001/01/01 00:00:00 - 0001/12/01 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Float64 ltm_range 62456.0, 73383.0;
    String prev_avg_period "0000-01-00 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";
  }
  sst {
    Float32 actual_range -1.799999, 32.94767;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Long Term Mean Monthly Means of Sea Surface Temperature";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    String standard_name "sea_surface_temperature";
    String statistic "Long Term Mean";
    String units "degree_C";
    Float32 valid_range -5.0, 40.0;
    String var_desc "Sea Surface Temperature";
  }
  valid_yr_count {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "count of non-missing values used in mean";
    Int16 missing_value 32767;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String citation "Huang et al, 2014: Extended Reconstructed Sea Surface Temperatures Version 4 (ERSST.v4), Part I. Upgrades and Intercomparisons. Journal of Climate.";
    String climatology "Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.";
    String comment "SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "esrl.psd.data@noaa.gov";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "https://www.esrl.noaa.gov/psd/";
    String dataset_title "Extended Reconstructed Sea Surface Temperature (ERSST) v4";
    String description "In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.";
    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 
"Created 2014/10/09 by doMonthLTM
2018-02-19T03:41:35Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/noaa.ersst/sst.mon.1971-2000.ltm.v4.nc
2018-02-19T03:41:35Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_6d0e_a34f_5bb9.das";
    String id "Datasets.noaa.ersst.sst.mon.1971-2000.ltm.v4.nc";
    String infoUrl "https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v4";
    String institution "This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/NCDC";
    String keywords "2000.ltm.v4, center, centers, centre, climatic, count, data, division, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, environmental, ersst, esrl, extended, hadisst, hadley, ice, information, laboratory, latitude, long, longitude, mean, means, missing, month, monthly, national, ncdc, ncei, ncep, nesdis, noaa, non, non-missing, obtained, ocean, oceans, only, physical, prediction, psd, reconstructed, research, satellite, science, sciences, sea, sea_surface_temperature, service, situ, sst, sst.mon.1971, sst.mon.1971-2000.ltm.v4, statistics, surface, system, temperature, term, time, used, valid_yr_count, values, version, written";
    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 88.0;
    String not_missing_threshold_percent "minimum 3% values input to have non-missing output value";
    String references "https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v4 at NCDC and https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v4.html";
    String source "created 10/2014 by CAS using NCDC's ERSST V4 ascii values and stored in netCDF4-classic format";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/noaa.ersst/sst.mon.1971-2000.ltm.v4.nc";
    Float64 Southernmost_Northing -88.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 4 (in situ only). In situ data: ICOADS2.5 before 2007 and National Centers for Environmental Prediction (NCEP) in situ data from 2008 to present. Ice data: Hadley Centre Sea Ice and Sea Surface Temperature (HadISST) ice before 2010 and NCEP ice after 2010.";
    String time_coverage_end "0001-12-01T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "NOAA Extended Reconstructed SST (ERSST), Version 4 (in situ only) (sst.mon.1971-2000.ltm.v4), 2.0°, 0001";
    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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