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Dataset Title:  Upwelling Index, 60N 146W, monthly Subscribe RSS
Institution:  NOAA/SWFSC Environmental Research Division   (Dataset ID: erdUI60mo)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?
    << - +
< slider >
latitude (degrees_north) ?     specify just 1 value →
< <
longitude (degrees_east) ?     specify just 1 value →
< <
Graph Settings
Y Axis Minimum:   Maximum:   Ascending: 
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    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 -7.561728e+8, 1.5186528e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    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";
    Float64 actual_range 60.0, 60.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 214.0, 214.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  upwelling_index {
    Float32 _FillValue -9999.0;
    String history "From";
    String ioos_category "Wind";
    String long_name "Upwelling Index, 60N 146W, monthly";
    Float32 missing_value -9999.0;
    String units "m^3/s/100m coastline";
  upwelling_index_anomaly {
    Float32 _FillValue -9999.0;
    String history "From";
    String ioos_category "Wind";
    String long_name "Upwelling Index Anomaly, 60N 146W, monthly";
    Float32 missing_value -9999.0;
    String units "m^3/s/100m coastline";
    String cdm_data_type "Grid";
    String Conventions "CF-1.4";
    String defaultGraphQuery "upwelling_index[last-240:last][(60.0)][(214.0)]&.draw=lines&.vars=time|upwelling_index";
    Float64 Easternmost_Easting 214.0;
    Float64 geospatial_lat_max 60.0;
    Float64 geospatial_lat_min 60.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 214.0;
    Float64 geospatial_lon_min 214.0;
    String geospatial_lon_units "degrees_east";
    String history 
"FERRET V5.00 (V500beta1.1) 26-Jul-00
    String infoUrl "";
    String institution "NOAA/SWFSC Environmental Research Division";
    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-1.4, Unidata Dataset Discovery v1.0";
    Float64 Northernmost_Northing 60.0;
    String sourceUrl "";
    Float64 Southernmost_Northing 60.0;
    String start_time "1946-01-15T00:00:00";
    String summary "Upwelling index computed from FNMOC sea level pressure for 15 locations off the North American West Coast at each 3 degrees of latitude from 21N to 60N. The coastal Upwelling Index is an index of the strength of the wind forcing on the ocean which has been used in many studies of the effects of ocean variability on the reproductive and recruitment success of many fish and invertebrate species.";
    String time_coverage_end "2018-02-15T00:00:00Z";
    String time_coverage_start "1946-01-15T00:00:00Z";
    String title "Upwelling Index, 60N 146W, monthly";
    Float64 Westernmost_Easting 214.0;


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{?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.

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