Data Access Form

Dataset Title:	Coastal Upwelling Transport Index (CUTI), Monthly
Institution:	NOAA/SWFSC Environmental Research Division (Dataset ID: erdCUTImonthly)
Information:	Summary \| License \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	441	30 days 10h 31m 38s (uneven)

latitude (degrees_north)	17	1.0 (even)

Grid Variables (which always also download all of the dimension variables)

CUTI (Coastal Upwelling Transport Index (vertical volume transport), m2 s-1)

File type: (more information)

(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 5.692032e+8, 1.7263584e+9;
    String axis "T";
    String calendar "gregorian";
    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 31.0, 47.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  CUTI {
    String description "Monthly Coastal Upwelling Transport Index (CUTI) as described in Jacox et al. (2018), Coastal upwelling revisited: Ekman, Bakun, and improved upwelling indices for the U.S. west coast, Journal of Geophysical Research";
    String ioos_category "Wind";
    String long_name "Coastal Upwelling Transport Index (vertical volume transport)";
    String Units "m2 s-1";
    String units "m2 s-1";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.1,hdf5=1.10.10";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String Creation_Date "25-Oct-2024 18:49:34";
    String creator_email "Lynn.Dewitt@noaa.gov";
    String defaultGraphQuery "time,CUTI[last-240:last][(36.0)]&.draw=lines";
    String Description "Monthly averaged Coastal Upwelling Transport Index (CUTI) for U.S. West Coast";
    Float64 geospatial_lat_max 47.0;
    Float64 geospatial_lat_min 31.0;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    String history 
"2024-11-24T00:18:16Z (local files)
2024-11-24T00:18:16Z http://upwell.pfeg.noaa.gov/erddap/griddap/erdCUTImonthly.das";
    String infoUrl "https://oceanview.pfeg.noaa.gov/products";
    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.";
    Float64 Northernmost_Northing 47.0;
    String Reference "Jacox et al. (2018), Coastal upwelling revisited: Ekman, Bakun, and improved upwelling indices for the U.S. west coast, Journal of Geophysical Research, 123(10), 7332-7350, https://doi.org/10.1029/2018JC014187";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The Coastal Upwelling Transport Index (CUTI, pronounced \"cutie\") and the Biologically Effective Upwelling Transport Index (BEUTI; pronounced \"beauty\") are two new upwelling indices that leverage state-of-the-art ocean models as well as satellite and in situ data to improve upon historically available upwelling indices for the U.S. west coast. CUTI provides estimates of vertical transport near the coast (i.e., upwelling/downwelling). It was developed as a more accurate alternative to the previously available \"Bakun Index\". BEUTI provides estimates of vertical nitrate flux near the coast (i.e., the amount of nitrate upwelled/downwelled), which may be more relevant than upwelling strength when considering some biological responses.";
    String time_coverage_end "2024-09-15T00:00:00Z";
    String time_coverage_start "1988-01-15T00:00:00Z";
    String title "Coastal Upwelling Transport Index (CUTI), Monthly";
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.