Easier access to all of NOAA's data
log in    
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > griddap > Data Access Form ?

Dataset Title:  created 05/2014 from data provided by JRA (Top Dataset, COBE2, icec.mon.mean),
1.0°, 1850-2017
Subscribe RSS
Institution:  NOAA ESRL/PSD   (Dataset ID: noaa_esrl_e871_0ea9_74d9)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      2016    30 days 10h 28m 53s (uneven)
  < slider >
 latitude (degrees_north) ?      180    -1.0 (even)
  < slider >
 longitude (degrees_east) ?      360    1.0 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 icec (Monthly Means of Global Ice Concentration, fr) ?

File type: (more info)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.7868256e+9, 1.5120864e+9;
    String avg_period "0000-01-00 00:00:00";
    String axis "T";
    String coordinate_defines "start";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    String prev_avg_period "0000-00-01 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 -89.5, 89.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.5, 359.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  icec {
    Float32 actual_range 0.0, 1.05;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String level_desc "Surface";
    String long_name "Monthly Means of Global Ice Concentration";
    Float32 missing_value 1.0e+20;
    String parent_stat "Individual obs";
    String statistic "Mean";
    String units "fr";
    Float32 valid_range 0.0, 1.0;
    String var_desc "Ice Concentration";
    String cdm_data_type "Grid";
    String citation "Hirahara, S., Ishii, M., and Y. Fukuda,2014: Centennial-scale sea surface temperature analysis and its uncertainty. J of Climate, 27, 57-75.";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "";
    String dataset_title "COBE-SST2 Sea Surface Temperature and Ice";
    Float64 Easternmost_Easting 359.5;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.5;
    Float64 geospatial_lon_min 0.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Created 12/2012 from data obtained from JRA by ESRL/PSD
    String id "Datasets/COBE2/icec.mon.mean.nc";
    String infoUrl "";
    String institution "NOAA ESRL/PSD";
    String keywords "cobe2, concentration, created, data, dataset, distribution, division, earth, esrl, global, ice, ice distribution, icec, icec.mon.mean, japanese, jra, laboratory, latitude, longitude, means, month, monthly, noaa, physical, provided, psd, reanalysis, research, sciences, system, time, top";
    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 89.5;
    String original_source "";
    String platform "Analyses";
    String references "";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "created 05/2014 from data provided by Japanese Reanalysis (JRA) (Top Dataset, COBE2, icec.mon.mean)";
    String time_coverage_end "2017-12-01T00:00:00Z";
    String time_coverage_start "1850-01-01T00:00:00Z";
    String title "created 05/2014 from data provided by JRA (Top Dataset, COBE2, icec.mon.mean), 1.0°, 1850-2017";
    Float64 Westernmost_Easting 0.5;


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{?query}
For example,[(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.

ERDDAP, Version 1.82
Disclaimers | Privacy Policy | Contact