Glider deployment:
\nFor this study, a slocum glider was deployed between March and July in 2013 and 2014 in the San Pedro Channel, located in the Southern California Bight off the coast of Los Angeles. The glider was deployed on a 28 km cross-channel path between Catalina Island and the Palos Verdes Peninsula and completed a single cross-channel pass every 1.5\u20132 days (average speed 1 km h\u22121). Data were collected between \u223c 3 and 90 m, with the exception of when the glider crossed the major shipping lanes where the glider was constrained to depths below 20 m to avoid damage or loss from ship traffic.
The GMT time stamp indicates the earliest time stamp for data binned within a single profile.
\nGlider deployments were from small boats belonging to the USC Wrigley Marine Sciences Center or from the R/V Yellowfin.
\nInstruments:
\nTeledyne Webb G1 Slocum electric gliders equipped with a WET Labs EcoPuck FL3 fluorometer (used for Chlorophyll a fluorescence), a WET Labs EcoPuck BB3 sensor (used for backscatter at wavelengths of 532, 660, and 880 nm), and a Sea-Bird flow-through CTD (used for temperature, salinity, and pressure).
For more methodology information see Teel et al., 2018.
This dataset includes chlorophyll a fluorescence and water temperature from gridded in-situ profiles from a Slocum Glider deployed between March and July in 2013 and 2014 in the San Pedro Channel, located in the Southern California Bight off the coast of Los Angeles.\u00a0
\nThese data were published in\u00a0Teel et al., 2018.
\nIn addition to the tabular form of this dataset available by clicking the \"Get Data\" button on this page, it\u00a0is also available as a Matlab (*.mat) file containing data matrices and vectors.\u00a0
\n* Note that the tabular dataset has a \"DEPTH\" parameter, but there is none in the above .mat file.\u00a0 Each row of the matrices corresponds to 1m depth increments starting with the first row which corresponds to 1m depth to the last row number 80 corresponding to 80m depth.
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Data processing:
\nGlider data were processed in Matlab (versions R2012b, R2014a, R2015b, and R2016b). The glider data from each 2-day transect were gridded onto an idealized glider transect with 500 m horizontal resolution and 1m vertical resolution that was approximately perpendicular to the mean flow and the coastline. Only glider data within 5 km of the idealized transect were used in this analysis (Fig. 1). Each 500 m bin (N = 62) corresponded approximately with a single downcast and upcast. Only profiles with data for > 85 % of the vertical bins were used for further analyses, thereby excluding partial profiles from under the shipping lanes. The remaining missing data (< 15 % of each profile) were filled using 2-D interpolation from all neighboring bins. A total of 557 profiles from 2013 and 1049 profiles from 2014 were accepted for further analyses.
BCO-DMO Data Manager Processing notes:
\n* Script to transform originally submitted matlab data matrices and vectors into a tabular dataset attached as a supplemental document to this dataset landing page.
\n* Tabular version of the data available by pressing the "Get Data" button. NaNs in the matlab data are displayed as "nd" for no data in the BCO-DMO data system.
\n* Data was rounded in matlab (or else would be 13 decimal places). LAT and LON rounded to 5 decimal places. CHL and TEMP rounded to 3 decimal places.
\n* ISO_DateTime_UTC (yyyy-mm-ddTHH:MM:SSZ) timestamp with time zone added to the tabular dataset in addition to the matlab datenum column.
\n* Added depth column to tabular dataset based on submitter's information that each row in the mat file corresponds to 1m depth increments with row 1 starting at 1m.