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title: Eastward and northward components of ocean current, water temperature, and others collected from moorings in the North East Pacific Coast during the spring/summer through early fall from 2003-2008 (NCEI Accession 0164626)
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abstract: The Ecology and Oceanography of Harmful Algal Bloom-Pacific North West (ECOHAB PNW) was a 5-year multi-disciplinary project that studied the physiology, toxicology, ecology and oceanography of toxic Pseudo-nitzschia species off the Pacific Northwest coast. As part of this project Dr. Barbara Hickey at the University of Washington maintained 3 surface moorings and one subsurface mooring in the vicinity of the Juan de Fuca Eddy. The three surface moorings, E1, E2, E3, were deployed during the spring through early fall season in 2003-2006. One subsurface mooring, E4, was maintained 2005-2008. It was deployed between late June and August and recovered in October, except for the 2007 deployment which was not recovered until January 2008. Dr. Rick Thomson at the Institute of Ocean Sciences and his group designed the moorings with scientific input from Dr. Hickey. Some of the publications using this data include: Hickey, B.M., S. Geier, N. Kachel and A. MacFadyen (2005) A bi-directional river plume: The Columbia in summer. Continental Shelf Research, 25: 1631-1636., Hickey, B.M., R. McCabe, S. Geier, E. Dever and N. Kachel (2009) Three interacting freshwater plumes in the northern California Current System. Journal of Geophysical Research, 114(C00B03), https://doi.org/10.1029/2008JC004907., Connolly, T., B.M. Hickey, S. Geier and W. Cochlan (2010) Processes influencing seasonal hypoxia in the northern California Current System, Journal of Geophysical Research, 115(C03021), https://doi.org/10.1029/2009JC005283.
purpose: One of the many components of this project was to design and maintain three surface moorings and one subsurface mooring to collect time series data of water properties and currents in the Juan de Fuca eddy region during the general time period of May through September or early October, 2003-2006. The subsurface mooring, E4, was maintained 2005-2008, deployed during late June or August through October, except for the 2007 deployment which was recovered January 2008.
credit: The project was funded jointly through the Ecology and Oceanography of Harmful Algal Blooms program by the National Oceanographic and Atmospheric Administration Coastal Ocean Program Award Number NA17OP2789 and the National Science Foundation (NSF) Award OCE 0234587. Lead Principal Investigators were Dr. Barbara Hickey, University of Washington, and Dr. Vera Trainer, Northwest Fisheries Science Center. Mooring recovery and deployment on the Canadian Coast Guard Offshore Research and Survey Vessel John P. Tully was made possible by Canadian support to Dr. Rick Thomson at the Institute of Ocean Sciences. Additional funding was provided by NSF (Awards OCE 0434087, OCE 0910624) and the National Institute for Environmental Health Sciences (P50 ES012762) through the Pacific Northwest Center for Human Health and Ocean Studies to continue the E4 mooring through 2008.
credit: Related Funding Agency: NSF, NOAA, NIEHS
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description: Data Type: u and v components of velocity (measured); Units: cm/sec; Observation Type: in situ; Sampling Instrument: Teledyne RD Instruments 300kHz Workhorse Sentinel Acoustic Doppler Profiler (ADCP); Sampling and Analyzing Method: On the surface moorings, E1, E2, E3, the ADCP was downward facing and set up to burst sample, averaging 190 pings measured once per second every hour. On the subsurface mooring, E4, the ADCP was upward facing and was set up to average 150 pings evenly sampled over 30 minutes. After editing in 2006 and 2007 the values at E4 were averaged to hourly values. In 2007 and 2008 they were not averaged to hourly values. All data was rotated to true North.; Data Quality Information: ADCPs measure water velocity at several depths, referred to as bins. Data was sampled in earth coordinates. Data was checked for u and v values of 9999s, indicating bad data. Values were linearly interpolated across the bad data. The ADCP collects ancillary data that was used to evaluate the data. If the percent good 4 beam solutions was <25, correlation magnitude was <64, or tilt was >15 degrees then the data was filled with a regression on the bin above it if the ADCP was downward facing. If the ADCP was upward facing, data would be filled with a regression on the bin below. U and v components were then plotted and visually inspected for spikes or spurious values and filled with a linear regression on the bin either above or below depending on whether the ADCP was facing upward or downward.
processStep: (LE_ProcessStep)
description: Data Type: TEMPERATURE [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Teledyne RD Instruments 300kHz Workhorse Sentinel Acoustic Doppler Profiler (ADCP); Sampling and Analyzing Method: The ADCP contains a thermistor that measures temperature at the heads. The temperature is measured every time the instrument pings. On the surface moorings, E1, E2, E3, the ADCP was downward facing and set up to burst sample, averaging 190 pings measured once per second every hour. On the subsurface mooring, E4, the ADCP was upward facing and was set up to average 150 pings evenly sampled over 30 minutes. After editing in 2006 and 2007 the values at E4 were averaged to hourly values. In 2007 and 2008 they were not averaged to hourly values.; Data Quality Information: Temperature values are plotted and visually inspected for spikes or spurious values. Data deemed bad are filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: TEMPERATURE [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: VEMCO minilog; Sampling and Analyzing Method: Vemco minilogs were set up to sample once every 30 minutes. After editing the values were averaged to hourly values.; Data Quality Information: Temperature values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 39 Temperature recorder (SBE 39); Sampling and Analyzing Method: In 2003, 2005, and 2006 SBE 39s were set up to sample once every 30 minutes. In 2004 they were set up to sample once every 15 minutes. After editing the values were averaged to hourly values.; Data Quality Information: Temperature values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 37 MicroCat (C,T) recorder, (SBE 37); Sampling and Analyzing Method: In 2003, 2005, and 2006 the SBE 37s were set up to average 4 samples taken every half hour. In 2004 the SBE 37s were set up to average 4 samples taken every 15 minutes. Salinity (PSU) and sigma-t (kg/m3) were computed using measured temperature, conductivity and pressure if recorded, if not, a constant value equal to the depth was used. After editing the values were averaged to hourly values.; Data Quality Information: Temperature values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: CONDUCTIVITY (measured); Units: Siemens per meter (S/m); Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 37 MicroCat (C,T) recorder, (SBE 37); Sampling and Analyzing Method: In 2003, 2005, and 2006 the SBE 37s were set up to average 4 samples taken every half hour. In 2004 the SBE 37s were set up to average 4 samples taken every 15 minutes. Conductivity was converted to salinity (PSU) and sigma-t (kg/m3) using the temperature and pressure data measured by the SBE 37. In most cases there wasn’t a pressure measurement so a constant value equal to the depth was used. After editing the values were averaged to hourly values.; Data Quality Information: Conductivity, temperature, salinity and sigma-t values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: PRESSURE - WATER (measured); Units: pressure decibars (db); Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 37 MicroCat (C,T) recorder, (SBE 37); Sampling and Analyzing Method: In 2003, 2005, and 2006 the SBE 37s were set up to average 4 samples taken every half hour. In 2004 the SBE 37s were set up to average 4 samples taken every 15 minutes. Pressure, if measured, was used to calculate salinity (PSU) and sigma-t (kg/m3) using the temperature and conductivity data measured by the SBE 37. In most cases there wasn’t a pressure measurement so a constant value equal to the depth was used. After editing the values were averaged to hourly values.; Data Quality Information: Conductivity, temperature, pressure, salinity and sigma-t values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 16plus, (SBE 16+); Sampling and Analyzing Method: All instruments were set up to run the pump during sampling. The time delay before sampling varied. In 2003 the surface instruments were set to delay before sampling either 1 or 2 seconds. In 2004 and 2005 all surface instruments were set up to delay before sampling 1 second. In 2006 the delay before sampling was set to 4 seconds. In 2005 and 2006 the subsurface mooring at E4 was set up to delay before sampling 15 seconds. In 2007 and 2008 the subsurface mooring at E4 was set up to delay before sampling 20 seconds. In 2003 and 2006 the SBE 16+s on the surface moorings were set up to average 20 samples taken every half hour. In 2004 and 2005 the SBE 16+s on the surface moorings were set up to average 18 samples taken every 15 minutes. The subsurface mooring, E4, was set up to average 15 samples every half hour. After editing the values were averaged to hourly values except in 2007 and 2008 when the values were not averaged to hourly values.; Data Quality Information: Temperature values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: CONDUCTIVITY (measured); Units: Siemens per meter (S/m); Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 16plus, (SBE 16+); Sampling and Analyzing Method: All instruments were set up to run the pump during sampling. The time delay before sampling varied. In 2003 the surface instruments were set to delay before sampling either 1 or 2 seconds. In 2004 and 2005 all surface instruments were set up to delay before sampling 1 second. In 2006 the delay before sampling was set to 4 seconds. In 2005 and 2006 the subsurface mooring at E4 was set up to delay before sampling 15 seconds. In 2007 and 2008 the subsurface mooring at E4 was set up to delay before sampling 20 seconds. In 2003 and 2006 the SBE 16+s on the surface moorings were set up to average 20 samples taken every half hour. In 2004 and 2005 the SBE 16+s on the surface moorings were set up to average 18 samples taken every 15 minutes. The subsurface mooring, E4, was set up to average 15 samples every half hour. Conductivity was converted to salinity (PSU) and sigma-t (kg/m3) using the temperature and pressure data measured by the SBE 16+. In most cases there wasn’t a pressure measurement so a constant value equal to the depth was used. After editing the values were averaged to hourly values except in 2007 and 2008 when the values were not averaged to hourly values.; Data Quality Information: Conductivity, temperature, salinity and sigma-t values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
processStep: (LE_ProcessStep)
description: Data Type: PRESSURE - WATER (measured); Units: decibars (db); Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 16plus, (SBE 16+); Sampling and Analyzing Method: All instruments were set up to run the pump during sampling. The time delay before sampling varied. In 2003 the surface instruments were set to delay before sampling either 1 or 2 seconds. In 2004 and 2005 all surface instruments were set up to delay before sampling 1 second. In 2006 the delay before sampling was set to 4 seconds. In 2005 and 2006 the subsurface mooring at E4 was set up to delay before sampling 15 seconds. In 2007 and 2008 the subsurface mooring at E4 was set up to delay before sampling 20 seconds. In 2003 and 2006 the SBE 16+s on the surface moorings were set up to average 20 samples taken every half hour. In 2004 and 2005 the SBE 16+s on the surface moorings were set up to average 18 samples taken every 15 minutes. The subsurface mooring, E4, was set up to average 15 samples every half hour. Pressure, (strain gauge) if measured, was used to calculate salinity (PSU) and sigma-t (kg/m3) using the temperature and conductivity data measured by the SBE 16+. In most cases there wasn’t a pressure measurement so a constant value equal to the depth was used. After editing the values were averaged to hourly values except in 2007 and 2008 when the values were not averaged to hourly values.; Data Quality Information: Conductivity, temperature, pressure, salinity and sigma-t values were plotted and visually inspected for spikes or spurious values.
processStep: (LE_ProcessStep)
description: Data Type: OXYGEN (measured); Units: dissolved oxygen (ml/l); Observation Type: in situ; Sampling Instrument: Sea-Bird Electronics 16plus, (SBE 16+) with SBE 43 dissolved oxygen sensor; Sampling and Analyzing Method: Only the subsurface mooring, E4, had an oxygen sensor on the SBE16+. All instruments were set up to run the pump during sampling. The delay before sampling varied. In 2005 and 2006 the delay before sampling was set to 15 seconds. In 2007 and 2008 the delay before sampling was set to 20 seconds. The SBE16+ was set up to average 15 samples every half hour. After editing the values were averaged to hourly values except in 2007 and 2008 when the values were not averaged to hourly values.; Data Quality Information: Oxygen values were plotted and visually inspected for spikes or spurious values. Data deemed bad were filled using linear interpolation across the bad point(s).
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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded
maintenanceNote: Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
contact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) custodian
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acquisitionInformation: (MI_AcquisitionInformation)
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: ADCP
type: ADCP
description: Acoustic Doppler Current Profiler The Acoustic Doppler Current Profiler (ADCP) measures currents beneath a ship while underway. Sound signals sent from the moving ship bounce back to receivers aboard the ship. This provides a profile of water movement relative to the ship-precise modern navigation, allowing the ship's motion to be subtracted from the data. These devices are also used on moorings and profilers and, along with acoustic backscattering, measure animal biomass. Particles in the path of the sound waves, mostly plankton, reflect a small part of the sound energy back toward receivers, allowing researchers to make remote estimates of the sizes and numbers of animals present in the water column. Before the 1970's, the most technologically advanced instrument used to measure water velocity was known as a Doppler speed log. This evolved into the first commercial ADCP, produced in the mid-1970's, which used averaging. Later in the 1970's, the first vessel-mounted ADCP was developed to measure water velocity more accurately and to allow measurement in range cells over a depth profile. As instruments evolved, so did new techniques in Doppler signal processing. Initially, Doppler speed logs used simple analog signal processing methods, which are still used in some commercial speed logs today. However, the first ADCPs incorporated analog-to-digital signal conversion over a narrow communication bandwidth. Around 1990, this technique was developed into broadband signal processing. Since then, broadband ADCPs have been able to generate very accurate, real-time velocity measurements.
instrument: (MI_Instrument)
identifier: (MD_Identifier)
code: CTD - moored CTD
type: CTD - moored CTD
description: CTD - moored CTD
platform: (MI_Platform)
identifier: (MD_Identifier)
code: moorings
description: entry created as MOORINGS OF UNITED STATES, but has been used as a generic MOORINGS entry.
instrument: (missing)
