Contributors | Affiliation | Role |
---|---|---|
Dever, Edward | Oregon State University (OSU-CEOAS) | Principal Investigator, Contact |
Gegg, Stephen R. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
File |
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MOORINGS_ADCP.csv (Comma Separated Values (.csv), 471.16 MB) MD5:8ebcc2b8a85bac8215a90b7d74577419 Primary data file for dataset ID 3586 |
Parameter | Description | Units |
Year | Year of data | YYYY |
Data_Type | Data Type - ADCP; PRES; TEMP; SBE_TS; WSPD | text |
Mooring_Name | Mooring Name | text |
Alternate_Mooring_Name | Mooring Alternate Name | text |
Lon | Mooring Longitude Position (West is negative) | decimal degrees |
Lat | Mooring Latitude Position (South is negative) | decimal degrees |
Depth_Mooring | Mooring Depth | meters |
Start_Date | Start Date of Data Collection | YYYYMMDD |
Start_Time | Start Time of Data Collection | HHMMSS |
End_Date | End Date of Data Collection | YYYYMMDD |
End_Time | End Time of Data Collection | HHMMSS |
Dataset_Id | Mooring Dataset Id based on Data Collection Start/End Dates | text |
DATE | Date (UTC) | YYYYMMDD |
TIME | Time (UTC) | HHMMSS |
DEPTH | Depth of ADCP on Mooring; Measurement depth for U/V velocities | meters |
U | East velocity | meters/sec |
V | North velocity | meters/sec |
Deployment_Id | Mooring Deployment Id (assigned by BCO-DMO Staff) | text |
Dataset-specific Instrument Name | Acoustic Doppler Current Profiler |
Generic Instrument Name | Acoustic Doppler Current Profiler |
Dataset-specific Description | ADCP - Hourly - DATE TIME DEPTH U V
Water velocity (m/sec); u = east velocity, v = north velocity, 300 kHz ADCP |
Generic Instrument Description | The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes. The ADCP works by transmitting "pings" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving. Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing). |
Website | |
Platform | RICE Mooring |
Start Date | 2004-06-21 |
End Date | 2004-09-09 |
Description | Year: 2004
Mooring_Name: RICE
Alternate_Mooring_Name: RC
Lon: -124.19540
Lat: 46.16707
Depth: 72
Start_Date: 20040621
Start_Time: 2200
End_Date: 20040909
End_Time: 0000
Dataset_Id: 2004_06_21-2004_09_09
Deployment_Vessel: R/V Sproul
Deployment_Dates: 14-25 June 2004
Recovery_Vessel: R/V Sproul
Recovery_Dates: 1-15 Sept 2004 |
Website | |
Platform | RICE Mooring |
Start Date | 2005-05-21 |
End Date | 2005-08-20 |
Description | Year: 2005
Mooring_Name: RICE
Alternate_Mooring_Name: RC
Lon: -124.19540
Lat: 46.16667
Depth: 72
Start_Date: 20050521
Start_Time: 0000
End_Date: 20050820
End_Time: 1200
Dataset_Id: 2005_05_21-2005_08_20
Deployment_Vessel: R/V Wecoma
Deployment_Dates: 16-21 May 2005
Recovery_Vessel: R/V Wecoma
Recovery_Dates: 4-10 Oct 2005 |
Website | |
Platform | RICE Mooring |
Start Date | 2006-05-14 |
End Date | 2006-10-14 |
Description | Year: 2006
Mooring_Name: RICE
Alternate_Mooring_Name: RC
Lon:-124.19552
Lat: 46.16678
Depth: 71
Start_Date: 20060514
Start_Time: 2200
End_Date: 20061014
End_Time: 1500
Dataset_Id: 2006_05_14-2006_10_14
Deployment_Vessel: R/V Wecoma
Deployment_Dates: 10-17 May 2006
Recovery_Vessel: R/V Wecoma
Recovery_Dates: 12-18 Oct 2006 |
Website | |
Platform | RINO Mooring |
Start Date | 2004-06-22 |
End Date | 2004-09-08 |
Description | Year: 2004
Mooring_Name: RINO
Alternate_Mooring_Name: RN
Lon: -124.30133
Lat: 46.43742
Depth: 72
Start_Date: 20040622
Start_Time: 0400
End_Date: 20040908
End_Time: 1700
Dataset_Id: 2004_06_22-2004_09_08
Deployment_Vessel: R/V Sproul
Deployment_Dates: 14-25 June 2004
Recovery_Vessel: R/V Sproul
Recovery_Dates: 1-15 Sept 2004 |
Website | |
Platform | RINO Mooring |
Start Date | 2005-05-18 |
End Date | 2005-10-07 |
Description | Year: 2005
Mooring_Name: RINO
Alternate_Mooring_Name: RN
Lon: -124.49190
Lat: 46.99970
Depth: 72
Start_Date: 20050518
Start_Time: 2000
End_Date: 20051007
End_Time: 1400
Dataset_Id: 2005_05_18-2005_10_07
Deployment_Vessel: R/V Wecoma
Deployment_Dates: 16-21 May 2005
Recovery_Vessel: R/V Wecoma
Recovery_Dates: 4-10 Oct 2005 |
Website | |
Platform | RINO Mooring |
Start Date | 2006-05-14 |
End Date | 2006-10-15 |
Description | Year: 2006
Mooring_Name: RINO
Alternate_Mooring_Name: RN
Lon: -124.49208
Lat: 47.01658
Depth: 70
Start_Date: 20060514
Start_Time: 2200
End_Date: 20061015
End_Time: 2100
Dataset_Id: 2006_05_14-2006_10_15
Deployment_Vessel: R/V Wecoma
Deployment_Dates: 10-17 May 2006
Recovery_Vessel: R/V Wecoma
Recovery_Dates: 12-18 Oct 2006 |
Website | |
Platform | RISO Mooring |
Start Date | 2004-06-21 |
End Date | 2004-09-07 |
Description | Year: 2004
Mooring_Name: RISO
Alternate_Mooring_Name: RS
Lon: -124.10045
Lat: 46.05298
Depth: 72
Start_Date: 20040621
Start_Time: 0000
End_Date: 20040907
End_Time: 1900
Dataset_Id: 2004_06_21-2004_09_07
Deployment_Vessel: R/V Sproul
Deployment_Dates: 14-25 June 2004
Recovery_Vessel: R/V Sproul
Recovery_Dates: 1-15 Sept 2004
|
Website | |
Platform | RISO Mooring |
Start Date | 2005-05-21 |
End Date | 2005-08-19 |
Description | Year: 2005
Mooring_Name: RISO
Alternate_Mooring_Name: RS
Lon: -124.10290
Lat: 45.50000
Depth: 90
Start_Date: 20050521
Start_Time: 0000
End_Date: 20050819
End_Time: 2300
Dataset_Id: 2005_05_21-2005_08_19
Deployment_Vessel: R/V Wecoma
Deployment_Dates: 16-21 May 2005
Recovery_Vessel: R/V Wecoma
Recovery_Dates: 4-10 Oct 2005
|
Website | |
Platform | RISO Mooring |
Start Date | 2006-05-13 |
End Date | 2006-09-26 |
Description | Year: 2006
Mooring_Name: RISO
Alternate_Mooring_Name: RS
Lon: -124.10293
Lat: 45.50003
Depth: 92
Start_Date: 20060513
Start_Time: 2300
End_Date: 20060926
End_Time: 1200
Dataset_Id: 2006_05_13-2006_09_26
Deployment_Vessel: R/V Wecoma
Deployment_Dates: 10-17 May 2006
Recovery_Vessel: R/V Wecoma
Recovery_Dates: 12-18 Oct 2006 |
River Influences on Shelf Ecosystems (RISE) - A Study of the Columbia River Plume
A Multi-Institutional Collaborative Project Sponsored by the National Science Foundation
In 2004 an interdisciplinary study "River Influences on Shelf Ecosystems" (RISE) was initiated to determine the extent to which alongshore gradients in ecosystem productivity might be related to the existence of the massive freshwater plume from the Columbia River. RISE was designed to test three hypotheses: - During upwelling the growth rate of phytoplankton within the Columbia plume exceeds that in nearby areas outside the plume being fueled by the same upwelling nitrate.
- The plume enhances cross-margin transport of plankton and nutrients.
- Plume-specific nutrients (Fe and Si) alter and enhance productivity on adjacent shelves.
Within those constraints, RISE provides the first comprehensive interdisciplinary study of the rates and dynamics governing the mixing of river and coastal waters in an eastern boundary system, as well as the effects of the plume formed by the mixing processes on rates, standing stocks and community structure of plankton in the local ecosystem. The RISE project, includes 4 field and two different numerical model applications. We collected simultaneous measurements of water chemistry, phytoplankton growth and grazing rates, zooplankton populations, water currents, and turbulent mixing. These are being combined with data from satellites, radar, and moorings, as well as detailed numerical simulations, to develop a deeper understanding of this important ecosystem.
The overall RISE sampling strategy was to compare mixing rates, nutrient supply, and phytoplankton production, grazing and community structure within the plume and outside the plume; i.e. on the shelf to the north of the river mouth, presumed more productive, and on the shelf to the south of the river mouth, presumed less productive, as well as in the important "plume lift off" area (the region where the plume loses contact with the bottom) near the river mouth and the plume "near field". The backbone for this project consists of data collected during four cruises that took place in the seasonally high-flow period (May-June) in each of three years (2004-06) and in a low-flow period in the second year (August, 2005). The sampling was spread over three years to attempt to include interannual differences in processes related to wind and river flow variability. The 21-day length of the cruises ensured that a variety of circulation and growth regimes, including upwelling and relaxation/downwelling and neap/spring tides, were observed.
The field studies used two vessels operating simultaneously. The R/V Wecoma obtained primarily biological and chemical rate data: a) at individual stations on cardinal lines north and south of the river mouth (off Grays Harbor, WA and Cape Meares, OR) and near the river mouth; b) at selected process study stations; and c) at fixed stations near the river mouth during strong neap and spring tides (time series). A towed sensor package was used to obtain micronutrient samples near the sea surface on cardinal lines and other selected transects. Underway measurements included macronutrients (N, P, Si), dissolved trace metals (Fe, Mn), supplemented with discrete samples from the underway system (microscopy, FlowCAM and particulate trace metals). At CTD stations vertical profiles (0-200 m where possible; and 500 m at selected stations) of T, S, vertical shear and currents, dissolved O2, in vivo fluorescence, PAR, chlorophyll a, dissolved macronutrients (NO3, NH4, urea, PO4, SiO4), dissolved trace metals, and heterotrophic and autotrophic plankton composition were obtained. Surface drifters were used to follow the mixing of individual plumes and to provide information on surface currents.
On the R/V Pt. Sur, synoptic mesoscale and fine-scale features were sampled with underway measurements of near-surface T, S, velocity, particle size and concentration, PAR, transmissivity and fluorescence and nitrate+nitrite. The Pt. Sur's Triaxus tow fish provided high-resolution sections of T, S, zooplankton (Laser-OPC), PAR and transmissivity, fluorescence, particle size and concentration (LISST-FLOC25X), UV absorption and nitrate (Satlantic ISUS) and radiance/irradiance (7 channels) through the upper water column to 50 m. Rapidly-executed transects of turbulence and fine-structure were also carried out using the Chameleon profiler; these provide full-depth profiles of T, S, optics (880 nm backscatter and fluorescence), turbulence dissipation rates and turbulent fluxes every 1-3 minutes. During selected periods, transects were repeated hourly to capture the high-frequency evolution in the plume's nearfield and river estuary. Acoustics (surface-deployed 1200 kHz ADCP and 120 kHz echosounder) were used to image fine-scale features of the velocity and backscatter fields, resolving fronts, nonlinear internal waves, and turbulent billows.
The temporal context for observed variability was provided by an array of moored sensors deployed in the plume near field as well as on the shelf north and south of the plume (complemented by the pre-existing long-term estuarine and plume stations of the CORIE/SATURN network. To better resolve regional differences, moorings were moved farther north and south to the cardinal sampling lines after the first year of the program. Surface currents were mapped hourly from shore using HF radar with two simultaneously operating arrays, one with a 40 km range and a 2 km range resolution, the other with a 150 km range and a 6 km range resolution. Satellite ocean color, sea surface temperature, turbidity and synthetic aperture radar (SAR) were also obtained when available.
Two modeling systems were developed or enhanced during RISE. The system developed specifically for RISE employed a structured grid model (ROMS) and was used in hindcast mode (MacCready et al., 2008). The CORIE/SATURN modeling system (Baptista, 2006)- based on two unstructured-grid models (SELFE, Zhang and Baptista, 2008; and ELCIRC, Zhang et al., 2004)- was used in both near real-time prognostic mode and multi-year hindcast mode. Both modeling systems incorporated the estuary in the simulation domain (although at different resolutions) and used realistic river, ocean and atmospheric forcing conditions, tidal forcing, and Columbia River estuary forcing. Wind/heat flux model forcing for ROMS was derived from the 4 km MM5 regional wind/heat flux model. SELFE and LCIRC were also forced by MM5. Conditions on open boundaries were provided by ~9 km resolution models from the Navy Research Laboratory (NRL) (NCOM); ROMS used the smaller domain NCOM-CCS NRL model, SELFE and ELCIRC used the larger domain Global-NCOM model. The biological model is a four-box ("NPZD") nitrogen-budget model that tracks nutrients, phytoplankton, zooplankton, and detritus in every cell of the ROMS grid. The rich RISE biological dataset allowed model validation against not just stocks (chlorophyll, microzooplankton, nutrients) but rates (phytoplankton growth and grazing) directly, a level of validation that is seldom possible. These rate observations also allowed the setting of key model parameters (e.g., zooplankton ingestion rate and mortality) empirically (Banas, et al., 2008).
References:
Banas, N. S., P. MacCready, and B. M. Hickey (2008), The Columbia River plume as cross-shelf
exporter and along-coast barrier, doi:10.1016 Cont. Shelf Res., 2008.03.011
Baptista, A. M. (2006), CORIE: the first decade of a coastal-margin collaborative observatory,
Oceans'06, MTS/ IEEE, Boston, MA.
Hickey, B.M., and the RISE PIs. River Influences on Shelf Ecosystems: Introduction to the RISE
Volume, Cont. Shelf Res., in press.
MacCready, P., N. S. Banas, B. H. Hickey, E. P. Dever, and Y. Liu (2008), A model study of
tide- and wind-induced mixing in the Columbia River Estuary and Plume, ,doi:10.1016/j.
Cont. Shelf Res. 2008.03.015.
RISE Cruise Reports and Figures:
2004 RISE-1
RISE04W1=R/V Wecoma, W0407A, July 8-28, 2004
Cruise Report
Cruise Track
Stations and Moorings
Wind Events
RISE2004=R/V Point Sur, (tbd), July 8-28, 2004
Cruise Report
2005 RISE-2
RISE05W2=R/V Wecoma, W0505C, May 29-June 21, 2005
Cruise Report
Cruise Track
Stations and Moorings
Wind Events
RISE2005a=R/V Point Sur, (tbd), May 29-June 21, 2005
Cruise Report
2005 RISE-3
RISE05W3=R/V Wecoma, W0508, August 4-August 26, 2005
Daily Cruise Report
Lessard Cruise Report
Peterson/Shaw Zooplankton Report
Cruise Track
Stations and Moorings
Wind Events
RISE2005b=R/V Point Sur, (tbd), August 2-August 27, 2005
Cruise Report
Cruise Log
2006 RISE-4
RISE06W4=R/V Wecoma, W0605B, May 21-June 13, 2006
Cruise Report 1
Cruise Report 2
Cruise Track
Stations and Moorings
Wind Events
RISE2006a=Leg 1, R/V Point Sur, (tbd), May 21-May 31, 2006
Cruise Report Leg 1
RISE2006b=Leg 2, R/V Point Sur, (tbd), June 2-June 12, 2006
Cruise Report Leg 2
Funding Source | Award |
---|---|
NSF Division of Ocean Sciences (NSF OCE) |