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    • Glider - La Push Line: 2014 June - 2015 August

    Metadata Updated: February 27, 2026

    Seaglider La Push NANOOS line, Washington. Glider covering a 200km SW-NE transect off La Push (Olympic Peninsula), Washington, as part of the Northwest Association of Networked Ocean Observing Systems (NANOOS). Glider deployments complement two NANOOS moorings off La Push at the onshore (NE) end of the transect, and provide observations on dissolved oxygen and oceanographic conditions in this dynamic upwelling region that interacts with waters in the Salish Sea. Operated by the University of Washington Applied Physics Laboratory (UW-APL) and funded by NOAA via the U.S. Integrated Ocean Observing System (IOOS), with previous support from the Murdock Charitable Trust and the UW.

    Access & Use Information

    License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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    Dates

    Metadata Date January 29, 2026
    Metadata Created Date July 27, 2025
    Metadata Updated Date February 27, 2026
    Reference Date(s) January 25, 2017 (creation), January 25, 2017 (issued)
    Frequency Of Update

    Metadata Source

    Harvested from ioos

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Date January 29, 2026
    Metadata Created Date July 27, 2025
    Metadata Updated Date February 27, 2026
    Reference Date(s) January 25, 2017 (creation), January 25, 2017 (issued)
    Responsible Party Applied Physics Lab\nUniversity of Washington\nSeattle, WA (Point of Contact)
    Contact Email
    Guid glider_lapush_SG187-20140625T1330
    Access Constraints
    Bbox East Long -125.04974
    Bbox North Lat 47.96273
    Bbox South Lat 46.988415
    Bbox West Long -126.99846
    Coupled Resource [{"title": [], "href": ["#DataIdentification"], "uuid": []}, {"title": [], "href": ["#DataIdentification"], "uuid": []}, {"title": [], "href": ["#DataIdentification"], "uuid": []}]
    Frequency Of Update
    Harvest Object Id d6479800-c2e0-4bd3-afe6-903b58658fb1
    Harvest Source Id 54e15a6e-6dde-4c9c-a8f0-345cc0dfccfb
    Harvest Source Title ioos
    Licence
    Lineage Processing start:\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(381): Changed (15/1817) 2 5 6 8 11 1735 1736 1741 1742 1745 1748 1752 1753 ... to QC_PROBABLY_BAD because raw temperature spikes\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(386): Changed (22/1817) 3 4 380:382 385:387 390:393 397:399 659 1734 1737:1740 ... to QC_PROBABLY_BAD because raw temperature noise spikes\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(393): Changed (1/1817) 1815 to QC_BAD because raw salinity below bound\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(424): Changed (15/1817) 3 1011 1401 1655 1659 1670 1730:1734 1737 1739 ... to QC_PROBABLY_BAD because raw conductivity spikes\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(196): Changed (36/1817) 2:6 8 11 380:382 385:387 390:393 397:399 659 1734:1742 ... to QC_PROBABLY_BAD because changed raw temp implies changed raw salinity\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(196): Changed (9/1817) 1011 1401 1655 1659 1670 1730:1733 to QC_PROBABLY_BAD because changed raw cond implies changed raw salinity\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(381): Changed (15/1817) 2 5 6 8 11 1735 1736 1741 1742 1745 1748 1752 1753 ... to QC_INTERPOLATED because temperature spikes\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(386): Changed (22/1817) 3 4 380:382 385:387 390:393 397:399 659 1734 1737:1740 ... to QC_INTERPOLATED because temperature noise spikes\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(393): Changed (1/1817) 1815 to QC_BAD because salinity below bound\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(404): Changed (1/1817) 1815 to QC_BAD because bad salinity indicates conductivity issues\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(424): Changed (15/1817) 3 1011 1401 1655 1659 1670 1730:1734 1737 1739 ... to QC_INTERPOLATED because conductivity spikes\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(429): Changed (4/1817) 390:393 to QC_INTERPOLATED because conductivity noise spikes\n20:11:14 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3272): Changed (8/1817) 822:829 to QC_BAD because slow apogee CT flow\n20:11:14 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3373): Changed (11/1817) 1:11 to QC_BAD because prior to dive start\n20:11:14 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3452): Changed (2/1817) 1816 1817 to QC_BAD because end of climb\n20:11:14 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3479): Changed (22/1817) 1:11 822:829 1815:1817 to QC_BAD because bad corrected temperature and conductivity suggests bad salinity\n20:11:14 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(135): Using 0-mode thermal-inertia correction.\n20:11:14 17 Oct 2014 UTC: INFO: QC.py(196): Changed (22/1817) 1:11 822:829 1815:1817 to QC_BAD because changed corrected salin implies changed speed\n20:11:15 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1154): TSV: 0 18 stalled points 1734:1749 1751 1814\n20:11:17 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1154): TSV: 2 1 stalled points 1752\n20:11:18 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1154): TSV: 3 2 stalled points 1730 1731\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1173): Unable to converge on TSV corrections at 1753:1757\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1175): TSV exiting after 20 iterations\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 37 52 % suspect thermal-inertia points 39:46\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1708 1714 % suspect thermal-inertia points 1711 1712\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1716 1717 % suspect thermal-inertia points 1716\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1719 1722 % suspect thermal-inertia points 1720 1722\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1724 1757 % suspect thermal-inertia points 1724 1726:1729 1753:1757\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1759 1760 % suspect thermal-inertia points 1759 1760\n20:11:35 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1762 1765 % suspect thermal-inertia points 1762:1764\n20:11:35 17 Oct 2014 UTC: INFO: QC.py(196): Changed (22/1817) 1:11 822:829 1815:1817 to QC_BAD because changed corrected salin implies changed speed\n20:11:37 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1154): TSV: 0 18 stalled points 1734:1749 1751 1814\n20:11:39 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1154): TSV: 2 1 stalled points 1752\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1173): Unable to converge on TSV corrections at 1726:1731 1753:1758 using averaged speeds\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1175): TSV exiting after 20 iterations\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 37 52 % suspect thermal-inertia points 39:46\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1708 1714 % suspect thermal-inertia points 1711 1712\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1719 1722 % suspect thermal-inertia points 1720 1722\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1724 1757 % suspect thermal-inertia points 1724:1731 1753:1757\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1759 1760 % suspect thermal-inertia points 1759 1760\n20:11:57 17 Oct 2014 UTC: INFO: TempSalinityVelocity.py(1190): SUGGESTION: 488 interp_salinity data_points in_between 1762 1765 % suspect thermal-inertia points 1762:1764\n20:11:57 17 Oct 2014 UTC: WARNING: MakeDiveProfiles.py(3584): TSV correction unable to converge\n20:11:57 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3585): SUGGESTION: 488 skip_profile % nonconverged\n20:11:57 17 Oct 2014 UTC: INFO: QC.py(196): Changed (29/1817) 380:382 385:387 390:393 397:399 659 1734:1742 1745 ... to QC_INTERPOLATED because changed corrected temp implies changed corrected salinity\n20:11:57 17 Oct 2014 UTC: INFO: QC.py(196): Changed (9/1817) 1011 1401 1655 1659 1670 1730:1733 to QC_INTERPOLATED because changed corrected cond implies changed corrected salinity\n20:11:57 17 Oct 2014 UTC: WARNING: MakeDiveProfiles.py(3621): Unable to find consistent solutions for HDM velocity and salinity!\n20:11:57 17 Oct 2014 UTC: INFO: QC.py(196): Changed (29/1817) 380:382 385:387 390:393 397:399 659 1734:1742 1745 ... to QC_INTERPOLATED because changed corrected temp implies changed speed\n20:11:57 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3657): Average estimated final speed: 23.12 cm/s\n20:11:57 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3660): RMS observed vs. computed w: 2.37 cm/s\n20:11:57 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3712): Starting sensor extensions data processing\n20:11:57 17 Oct 2014 UTC: INFO: QC.py(196): Changed (15/533) 2 3 6 118 119 121 123 492:495 497 499 501 532 to QC_INTERPOLATED because changed temperature implies changed SBE43 oxygen\n20:11:57 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3714): Finished sensor extensions data processing\n20:11:57 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3746): Estimated total flight and drift time: 27372.6s (SM: 377.2s)\n20:11:57 17 Oct 2014 UTC: INFO: MakeDiveProfiles.py(3912): Skipping DAC computation.\n
    Metadata Language eng
    Metadata Type geospatial
    Old Spatial {"type": "Polygon", "coordinates": [[[-126.99846, 46.988415], [-125.04974, 46.988415], [-125.04974, 47.96273], [-126.99846, 47.96273], [-126.99846, 46.988415]]]}
    Progress
    Spatial Data Service Type ERDDAP tabledap
    Spatial Reference System
    Spatial Harvester True
    Temporal Extent Begin 2014-06-25T20:37:54Z
    Temporal Extent End 2015-02-08T13:34:48Z

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