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Dataset Title:  Upwelling Index, 48N 125W, monthly Subscribe RSS
Institution:  NOAA/SWFSC Environmental Research Division   (Dataset ID: erdUI48mo)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      871    30 days 10h 27m 19s (uneven)
  < slider >
 latitude (degrees_north) ?      1    (just one value)
  < slider >
 longitude (degrees_east) ?      1    (just one value)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 upwelling_index (Upwelling Index, 48N 125W, monthly, m^3/s/100m coastline) ?
 upwelling_index_anomaly (m^3/s/100m coastline) ?

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 -7.561728e+8, 1.5316128e+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 48.0, 48.0;
    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 235.0, 235.0;
    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, 48N 125W, 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, 48N 125W, 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][(48.0)][]&.draw=lines&.vars=time|upwelling_index";
    Float64 Easternmost_Easting 235.0;
    Float64 geospatial_lat_max 48.0;
    Float64 geospatial_lat_min 48.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 235.0;
    Float64 geospatial_lon_min 235.0;
    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 48.0;
    String sourceUrl "";
    Float64 Southernmost_Northing 48.0;
    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 "2018-07-15T00:00:00Z";
    String time_coverage_start "1946-01-15T00:00:00Z";
    String title "Upwelling Index, 48N 125W, monthly";
    Float64 Westernmost_Easting 235.0;


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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