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Dataset Title:  North Pacific High, Pre-conditioning Cumulative Upwelling Index, 1967 - present Subscribe RSS
Institution:  NOAA ERD   (Dataset ID: erdPcui)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
Variable ?   Optional
Constraint #1 ?
Constraint #2 ?
   Minimum ?
   Maximum ?
 time (Centered Time, UTC) ?          1967-07-01    2013-07-01
  < slider >
 pcui33N (PCUI at 33N, m^3 s^-1 100m^-1) ?          1041.0    4200.0
 pcui36N (PCUI at 36N, m^3 s^-1 100m^-1) ?          486.0    4893.0
 pcui39N (PCUI at 39N, m^3 s^-1 100m^-1) ?          223.0    4634.0
 pcui42N (PCUI at 42N, m^3 s^-1 100m^-1) ?          86.0    2208.0
 pcui45N (PCUI at 45N, m^3 s^-1 100m^-1) ?          28.0    864.0
 pcui48N (PCUI at 48N, m^3 s^-1 100m^-1) ?          10.0    1276.0
Server-side Functions ?
 distinct() ?
? (" ")

File type: (more info)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -7.9056e+7, 1.3726368e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Centered Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  pcui33N {
    Float32 actual_range 1041.0, 4200.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 33N";
    String units "m^3 s^-1 100m^-1";
  pcui36N {
    Float32 actual_range 486.0, 4893.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 36N";
    String units "m^3 s^-1 100m^-1";
  pcui39N {
    Float32 actual_range 223.0, 4634.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 39N";
    String units "m^3 s^-1 100m^-1";
  pcui42N {
    Float32 actual_range 86.0, 2208.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 42N";
    String units "m^3 s^-1 100m^-1";
  pcui45N {
    Float32 actual_range 28.0, 864.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 45N";
    String units "m^3 s^-1 100m^-1";
  pcui48N {
    Float32 actual_range 10.0, 1276.0;
    String ioos_category "Physical Oceanography";
    String long_name "PCUI at 48N";
    String units "m^3 s^-1 100m^-1";
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String defaultDataQuery "time,pcui33N,pcui36N,pcui39N,pcui42N,pcui45N,pcui48N";
    String defaultGraphQuery "time,pcui33N&.draw=linesAndMarkers";
    String history 
"2019-06-18T07:51:58Z (local files)
    String id "erdPcui";
    String infoUrl "";
    String institution "NOAA ERD";
    String keywords "centered, conditioning, data, index, pcui, time, upwelling";
    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 sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Variations in large-scale atmospheric forcing influence upwelling dynamics and ecosystem productivity in the California Current System (CCS). In this paper, we characterize interannual variability of the North Pacific High over 40 years and investigate how variation in its amplitude and position affect upwelling and biology. We develop a winter upwelling \"pre-conditioning\" index and demonstrate its utility to understanding biological processes. Variation in the winter NPH can be well described by its areal extent and maximum pressure, which in turn is predictive of winter upwelling. Our winter pre-conditioning index explained 64% of the variation in biological responses (fish and seabirds). Understanding characteristics of the NPH in winter is therefore critical to predicting biological responses in the CCS.";
    String time_coverage_end "2013-07-01";
    String time_coverage_start "1967-07-01";
    String title "North Pacific High, Pre-conditioning Cumulative Upwelling Index, 1967 - present";


Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection 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.

Tabledap request URLs must be in the form{?query}
For example,,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

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