Eastward and northward components of ocean current, water temperature, and others collected from moorings in North East Pacific Coast from 1990-10-09 to 1991-02-26 (NCEI Accession 0164862)

browse graphicPreview graphic
The Dynamics of the Columbia River Plume Project was sponsored by the National Science Foundation (NSF) grant number OCE 8918193 to Barbara Hickey, Lead Principal Investigator (University of Washington). Other PIs included on the project were Bill Boicourt (University of Maryland), David Jay (University of Washington), and Len Pietrafesa (North Carolina State University). Twenty-two current meter arrays (14 surface and 8 subsurface moorings) were deployed in the vicinity of the mouth of the Columbia River from Oct. 1990 through Feb. 1991. Most sites were paired with a surface mooring and a subsurface mooring located within the same vicinity. Positions for the sites and their mooring ID are shown on the CRmoorsitesfla50.jpg file included with the data. In most cases surface and subsurface moorings for the same location were deployed within a quarter mile of each other and are represented as one station on the chart. If the distance between the surface and subsurface moorings was greater than a quarter of a mile an average position was used to plot that station. Surface moorings are designated by the mooring ID followed by an 'S' to indicate surface while the subsurface moorings have an 'A' appended to the mooring ID. Contour lines for 25, 50, 100, 250, 500 meters are shown.
Results from this study can be found in Hickey, B.M., L. Pietrafesa, D. Jay and W.C. Boicourt (1998) The Columbia River Plume Study: Subtidal variability of the velocity and salinity fields. Journal of Geophysical Research, 103(C5): 10339-10368.
  • Cite as: Hickey, Barbara; Pietrafesa, Len (2017). Eastward and northward components of ocean current, water temperature, and others collected from moorings in North East Pacific Coast from 1990-10-09 to 1991-02-26 (NCEI Accession 0164862). Version 1.1. NOAA National Centers for Environmental Information. Dataset. [access date]
gov.noaa.nodc:0164862
Download Data
  • HTTPS (download)
    Navigate directly to the URL for data access and direct download.
  • FTP (download)
    These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.
Distribution Formats
  • Originator data format
Ordering Instructions Data may be searched and downloaded using online services provided by NCEI using the online resource URLs in this record. Contact NCEI Information Services for custom orders. When requesting data from NCEI, the desired data set may be referred to by the unique package identification number listed in this metadata record.
Distributor DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact Information Services
DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
301-713-3277
NCEI.Info@noaa.gov
Time Period 1990-10-09 to 1991-02-26
Spatial Bounding Box Coordinates
N: 46.58067
S: 46.01533
E: -123.99567
W: -124.396
Spatial Coverage Map
General Documentation
Publication Dates
  • publication: 2017-08-14
Edition 1.1
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Data Update Frequency As needed
Supplemental Information
Submission Package ID: 5CM41A
Purpose The purpose of this project was to determine the dynamics of the formation of the Columbia River plume and the role of mixing processes in plume formation.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Hickey, Barbara; Pietrafesa, Len (2017). Eastward and northward components of ocean current, water temperature, and others collected from moorings in North East Pacific Coast from 1990-10-09 to 1991-02-26 (NCEI Accession 0164862). Version 1.1. NOAA National Centers for Environmental Information. Dataset. [access date]
Cited Authors
  • Hickey, Barbara
  • Pietrafesa, Len
Contributors
Resource Providers
Points of Contact
  • Barbara Hickey
Publishers
Acknowledgments
  • Related Funding Agency: NSF
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science and Services Keywords
  • EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS
  • EARTH SCIENCE > OCEANS > OCEAN PRESSURE > WATER PRESSURE
  • EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE
  • EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY
Data Center keywords Global Change Master Directory (GCMD) Data Center Keywords
  • DOC/NOAA/NESDIS/NODC > National Oceanographic Data Center, NESDIS, NOAA, U.S. Department of Commerce
  • DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
  • UWA/OCEAN > School of Oceanography, University of Washington
NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS
Platform keywords NODC PLATFORM NAMES THESAURUS Global Change Master Directory (GCMD) Platform Keywords
  • In Situ Ocean-based Platforms > MOORINGS
Instrument keywords NODC INSTRUMENT TYPES THESAURUS Global Change Master Directory (GCMD) Instrument Keywords
  • In Situ/Laboratory Instruments > Current/Wind Meters > CURRENT METERS
  • In Situ/Laboratory Instruments > Profilers/Sounders > Acoustic Sounders > ADCP > Acoustic Doppler Current Profiler
  • In Situ/Laboratory Instruments > Recorders/Loggers > WL/CR > WATER LEVEL/CLIMATE RECORDERS
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords
  • OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Hickey, Barbara; Pietrafesa, Len (2017). Eastward and northward components of ocean current, water temperature, and others collected from moorings in North East Pacific Coast from 1990-10-09 to 1991-02-26 (NCEI Accession 0164862). Version 1.1. NOAA National Centers for Environmental Information. Dataset. [access date]
Access Constraints
  • NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • Digital data may be downloaded from NCEI at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NCEI Information Services for information about current fees.
Lineage information for: dataset
Processing Steps
  • 2017-08-14T22:21:21 - NCEI Accession 0164862 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Data Type: u, v components of velocity (calculated); Units: cm/sec; Observation Type: in situ; Sampling Instrument: Aanderaa current meter (AA); Sampling and Analyzing Method: AA instruments measured current speed and direction. Data was sampled in 30 minute intervals. Directions were rotated into degrees true north and resolved into u and v components then edited for spurious values. U and v components were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Aanderaa current meter (AA); Sampling and Analyzing Method: AA instruments measured temperature. Data was sampled in 30 minute intervals, then edited for spurious values. They were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted. In some cases an adjustment was made to the temperature data. Please see the CRAAReadme file for a list of adjustments.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: CONDUCTIVITY (measured); Units: mmho/cm; Observation Type: in situ; Sampling Instrument: Aanderaa current meter (AA); Sampling and Analyzing Method: Some AA instruments measured conductivity. Data was sampled in 30 minute intervals, then edited for spurious values. Conductivity was converted to salinity (PSS-78) using the temperature and pressure data measured by the AA. In some cases an adjustment was made to the conductivity, temperature or pressure data. In that case the adjusted values were used to compute salinity data. Please see the CRAAReadme file for a list of adjustments. The data were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: PRESSURE - WATER (measured); Units: pounds per square inch (PSI); Observation Type: in situ; Sampling Instrument: Aanderaa current meter (AA); Sampling and Analyzing Method: Some of the AA instruments measured pressure. Data was sampled in 30 minute intervals, then edited for spurious values. Pressure, if measured, was converted from PSI to decibars and used to calculate salinity using the temperature and conductivity data measured by the AA. If the pressure measurement was questionable or no sensor was installed then a constant value was used to compute salinity. Please see the CRAAReadme file for more information. The data were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Aanderaa water level recorder (WLR); Sampling and Analyzing Method: Some of WLRs measured temperature. Data was sampled in 30 minute intervals, then edited for spurious values. They were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: PRESSURE - WATER (measured); Units: decibars; Observation Type: in situ; Sampling Instrument: Aanderaa Water Level Recorder (WLR); Sampling and Analyzing Method: Some of the WLRs measured pressure. Data was sampled in 30 minute intervals, then edited for spurious values. The data was lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: u, v components of velocity (measured); Units: cm/sec; Observation Type: in situ; Sampling Instrument: InterOcean S4 current meter (S4); Sampling and Analyzing Method: S4s are vector averaging electromagnetic current meters that directly measure magnitude and direction of currents. Data was set up to average 1800 half second samples over the first 15 minutes every 30 or 60 minutes. Directions were rotated into degrees true north then edited for spurious values. If the data was sampled 15 minutes every 30 minutes u and v components were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted. If the data was sampled 15 minutes every 60 minutes the data was not lo passed filtered.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: InterOcean S4 current meter (S4); Sampling and Analyzing Method: S4 temperature data was set up to average 1800 half second samples over the first 15 minutes every 30 or 60 minutes. Data was edited for spurious values. In some cases an adjustment was made to the temperature data. Please see the CRS4Readme file for a list of adjustments. If the data was sampled 15 minutes every 30 minutes temperature values were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted. If the data was sampled 15 minutes every 60 minutes the data was not lo passed filtered.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: CONDUCTIVITY (measured); Units: mS/cm; Observation Type: in situ; Sampling Instrument: InterOcean S4 current meter (S4); Sampling and Analyzing Method: Some S4 instruments had conductivity sensors on them. S4 conductivity data was set up to average 1800 half second samples over the first 15 minutes every 30 or 60 minutes. Data was edited for spurious values. In some cases an adjustment was made to the conductivity and/or temperature data. These adjustments were used in the salinity computations. Please see the CRS4Readme file for a list of adjustments. Conductivity was converted to salinity using the temperature data measured by the S4. In all cases a constant value equal to 5 decibars was used to compute salinity. If the data was sampled 15 minutes every 30 minutes temperature values were lo passed filtered with a cosine Lanczos filter with a half power point of approximately 2.5 hours to suppress high frequency signals. The data was interpolated to even hours and decimated to hourly values. The first and last 6 points were deleted. If the data sampled 15 minutes every 60 minutes the data was not lo passed filtered.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: PRESSURE - WATER (measured); Units: decibars; Observation Type: in situ; Sampling Instrument: InterOcean S4 current meter (S4); Sampling and Analyzing Method: One of the S4 instruments measured pressure. The data was questionable and not used.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: u, v components of velocity (measured); Units: cm/sec; Observation Type: in situ; Sampling Instrument: Vector Measuring Current Meter (VMCM); Sampling and Analyzing Method: VMCM instruments measure the x and y vector of the horizontal water velocity and a compass heading. The compass heading allows the x and y vector to be rotated into a north-south and east-west coordinate pair. Directions were rotated into degrees true north. Data was sampled in 15 minute intervals, then edited for spurious values. The u and v components of velocity were filtered with a half power point of approximately 2.5 hours and decimated to hourly values. Hourly values were linearly interpolated to even hours. The first and last 6 points were deleted.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Vector Measuring Current Meter (VMCM); Sampling and Analyzing Method: Most of the VMCM instruments measured temperature. Data was sampled in 15 minute intervals, then edited for spurious values. The temperature data was filtered with a half power point of approximately 2.5 hours and decimated to hourly values. Hourly values were linearly interpolated to even hours. The first and last 6 points were deleted.; Data Quality Information: Data were plotted and visually inspected for spurious values.
  • Data Type: u, v components of velocity (measured); Units: cm/sec; Observation Type: in situ; Sampling Instrument: Teledyne RD Instruments 150 kHz, 300 kHz, and 1200 kHz Acoustic Doppler Current Profiler (ADCP); Sampling and Analyzing Method: ADCPs were installed on moorings at K1A and K3S (300 kHz), N1A (1200 kHz), and S3S (150 kHz). ADCPs measure water velocity at several depths, referred to as bins. Distance between bins was set to 1 meter, except at S3S the distance between bins was set to 2 meters. The sample interval was set to 60 minutes at K1A, K3S, and S3S. At N1A the data was originally sampled at 5 minute intervals, then block averaged to hourly values. All data was rotated to true North. Please see CRADCPUWReadme and CRADCPNCSUReadme for details of the sample set up.; Data Quality Information: Extraneous bins have not been removed from the data.
  • Data Type: TEMPERATURE - WATER [WATER TEMPERATURE] (measured); Units: degrees C; Observation Type: in situ; Sampling Instrument: Teledyne RD Instruments 150 kHz, 300 kHz 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. Only the ADCPs at K3S and S3S include the temperature data. Please see CRADCPUWReadme for details of the sample set up.; Data Quality Information: Temperature values were plotted and visually inspected for spikes or spurious values.
Acquisition Information (collection)
Instrument
  • ADCP
  • current meter
  • water level recorder
Platform
  • MOORINGS
Last Modified: 2018-03-06T13:20:08
For questions about the information on this page, please email: NODC.DataOfficer@noaa.gov