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2022-07-25T23:06:32Z
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
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)
2017-08-14
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NOAA National Centers for Environmental Information
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0164862
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Sue Geier
University of Washington; School of Oceanography
http://www.ocean.washington.edu
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UW School of Oceanography website
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information
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University of Washington; School of Oceanography
http://www.ocean.washington.edu
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UW School of Oceanography website
Institution web page
information
resourceProvider
Barbara M. Hickey
University of Washington (UW)
principalInvestigator
William Boicourt
University of Maryland (UMD)
boicourt@umces.edu
https://www.umd.edu/
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University of Maryland website
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principalInvestigator
David A. Jay
University of Washington (UW)
djay@cecs.pdx.edu
http://www.pdx.edu/
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University of Washington website
Institution web page
information
principalInvestigator
Len Pietrafesa
North Carolina State University (NCSU)
principalInvestigator
Hickey, Barbara
University of Washington
author
Boicourt, Bill
University of Maryland
boicourt@umces.edu
https://www.umd.edu/
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University of Maryland website
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information
author
Jay, David
University of Washington
djay@cecs.pdx.edu
http://www.pdx.edu/
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University of Washington website
Institution web page
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author
Pietrafesa, Len
North Carolina State University
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Barbara M. Hickey
University of Washington (UW)
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University of Washington (UW)
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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.
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.
Related Funding Agency: NSF
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0164862
NCEI ACCESSION NUMBER
2017-08-11
publication
CONDUCTIVITY
CURRENT METER - EAST-WEST COMPONENT (U)
CURRENT METER - NORTH-SOUTH COMPONENT (V)
HYDROSTATIC PRESSURE
WATER TEMPERATURE
theme
NODC DATA TYPES THESAURUS
ADCP
current meter
water level recorder
instrument
NODC INSTRUMENT TYPES THESAURUS
in situ
theme
NODC OBSERVATION TYPES THESAURUS
moorings
platform
NODC PLATFORM NAMES THESAURUS
University of Washington
dataCentre
NODC COLLECTING INSTITUTION NAMES THESAURUS
University of Washington; School of Oceanography
dataCentre
NODC SUBMITTING INSTITUTION NAMES THESAURUS
Columbia River estuary - Washington/Oregon
Northeast Pacific Ocean (limit-180)
place
NODC SEA AREA NAMES THESAURUS
oceanography
theme
WMO_CategoryCode
2012-09-15
publication
UWA/OCEAN > School of Oceanography, University of Washington
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2023
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17
Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA)
Greenbelt
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https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords
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Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
information
custodian
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
theme
Global Change Master Directory (GCMD) Science Keywords
2023
revision
17
Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA)
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Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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ADCP > Acoustic Doppler Current Profiler
CURRENT METERS
WL/CR > WATER LEVEL/CLIMATE RECORDERS
instrument
Global Change Master Directory (GCMD) Instrument Keywords
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Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
information
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MOORINGS
platform
Global Change Master Directory (GCMD) Platform Keywords
2023
revision
17
Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA)
Greenbelt
MD
https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords
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GCMD Keyword Forum Page
Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN
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Global Change Master Directory (GCMD) Location Keywords
2023
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Greenbelt
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Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 17. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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accessLevel: Public
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Cite as: Hickey, Barbara; Boicourt, Bill; Jay, David; 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0164862. Accessed [date].
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 the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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Hickey, B. M., Pietrafesa, L. J., Jay, D. A., and Boicourt, W. C. (1998), The Columbia River Plume Study: Subtidal variability in the velocity and salinity fields, J. Geophys. Res., 103(C5), 10339-10368, https://doi.org/10.1029/97JC03290.
1998-05-15
publication
International DOI Foundation (IDF)
https://doi.org/10.1029/97jc03290
https://doi.org/10.1029/97jc03290
HTTPS
https://doi.org/10.1029/97jc03290
journal article
information
Hickey, B. M.
author
Pietrafesa, L. J.
author
Jay, D. A.
author
Boicourt, W. C.
author
John Wiley & Sons, Ltd
publisher
documentDigital
J. Geophys. Res.
103:C5
ISBN/ISSN 0148-0227, pp. 10339-10368
crossReference
sciencePaper
eng; USA
utf8
environment
oceans
-124.396
-123.99567
46.01533
46.58067
1990-10-09
1991-02-26
Submission Package ID: 5CM41A
NOAA National Centers for Environmental Information
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28.12
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NCEI Accession 0164862 v1.1 was published.
2017-08-14T22:21:21Z
NCEI Accession 0164862 v1.1
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NCEI Accession 0164862 v1.1
published 2017-08-14T22:21:21Z
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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.
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ADCP
ADCP
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.
current meter
current meter
current meter
water level recorder
water level recorder
A seabed mounted unit calculating water level by means of precise measurements of hydrostatic pressure.
moorings
entry created as MOORINGS OF UNITED STATES, but has been used as a generic MOORINGS entry.