20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska
This dataset includes modeled velocity and discharge at five communities in the middle Kuskokwim River region: Aniak, Chuathbaluk, Crooked Creek, Red Devil and Stony River. Modeled velocities and discharge represent daily averages calculated for the openwater season (OWS) from June 1 - October 18 over the 20 year period 2000-2019 using the raw data described below and included in this archive; full details of methodology are described in (Brown et al. submitted to Renewable Energy). Raw data inputs to inform the modeling process include in-situ measurements of 1) discharge with an acoustic Doppler current meter (ADCP, 600kHz Workhorse Rio Grande by Teledyne RD Instruments) and a global positioning receiver (GPS, Trimble 5700, 5800 and R8) utilizing Real Time Kinematic (RTK) GPS mode over 1-2 days at each site in 2009 or 2010 (Ravens 2014), and 2) river stage with a water level logger (HOBO U20-001-01 by Onset) over 2-9 weeks at each site (Ravens 2014), 3) in addition to a 20 year long-term discharge record collected at the USGS stream gage site in Crooked Creek (USGS 2016). Raw data (discharge and stage) are included in this archive for two additional communities: Lower Kalskag and Sleetmute, where modeled velocities were not calculated due to equipment failure or loss. The USGS stream gage data at Crooked Creek (USGS 2016) and stream gage methodology (Turnipseed and Sauer 2010) are publicly available online, so the data are not duplicated here.
Citation Formats
TY - DATA
AB - This dataset includes modeled velocity and discharge at five communities in the middle Kuskokwim River region: Aniak, Chuathbaluk, Crooked Creek, Red Devil and Stony River. Modeled velocities and discharge represent daily averages calculated for the openwater season (OWS) from June 1 - October 18 over the 20 year period 2000-2019 using the raw data described below and included in this archive; full details of methodology are described in (Brown et al. submitted to Renewable Energy). Raw data inputs to inform the modeling process include in-situ measurements of 1) discharge with an acoustic Doppler current meter (ADCP, 600kHz Workhorse Rio Grande by Teledyne RD Instruments) and a global positioning receiver (GPS, Trimble 5700, 5800 and R8) utilizing Real Time Kinematic (RTK) GPS mode over 1-2 days at each site in 2009 or 2010 (Ravens 2014), and 2) river stage with a water level logger (HOBO U20-001-01 by Onset) over 2-9 weeks at each site (Ravens 2014), 3) in addition to a 20 year long-term discharge record collected at the USGS stream gage site in Crooked Creek (USGS 2016). Raw data (discharge and stage) are included in this archive for two additional communities: Lower Kalskag and Sleetmute, where modeled velocities were not calculated due to equipment failure or loss. The USGS stream gage data at Crooked Creek (USGS 2016) and stream gage methodology (Turnipseed and Sauer 2010) are publicly available online, so the data are not duplicated here.
AU - Brown, Eloise J.
A2 - King, Amanda L.
A3 - Duvoy, Paul X.
A4 - Trochim, Erin D.
A5 - Kasper, Jeremy L.
A6 - Wilson, Melany
A7 - Ravens, Thomas M.
DB - Marine and Hydrokinetic Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/1908928
KW - MHK
KW - Hydrokinetic
KW - energy
KW - power
KW - Kuskokwim River
KW - Alaska
KW - USA
KW - river
KW - resource
KW - water velocity
KW - discharge
KW - Aniak
KW - Chuathbaluk
KW - Crooked Creek
KW - Red Devil
KW - Stony River
KW - Lower Kalskag
KW - Sleetmute
KW - Current Energy Converter
KW - CEC
KW - ADCP
KW - Acoustic Doppler Current Profiler
KW - Teledyne Workhorse Rio Grande
KW - raw data
KW - processed data
KW - river characterization
KW - characterization
LA - English
DA - 2022/12/02
PY - 2022
PB - University of Alaska Fairbanks
T1 - 20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska
UR - https://doi.org/10.15473/1908928
ER -
Brown, Eloise J., et al. 20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska. University of Alaska Fairbanks, 2 December, 2022, Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/1908928.
Brown, E., King, A., Duvoy, P., Trochim, E., Kasper, J., Wilson, M., & Ravens, T. (2022). 20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska. [Data set]. Marine and Hydrokinetic Data Repository. University of Alaska Fairbanks. https://doi.org/10.15473/1908928
Brown, Eloise J., Amanda L. King, Paul X. Duvoy, Erin D. Trochim, Jeremy L. Kasper, Melany Wilson, and Thomas M. Ravens. 20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska. University of Alaska Fairbanks, December, 2, 2022. Distributed by Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/1908928
@misc{MHKDR_Dataset_460,
title = {20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska},
author = {Brown, Eloise J. and King, Amanda L. and Duvoy, Paul X. and Trochim, Erin D. and Kasper, Jeremy L. and Wilson, Melany and Ravens, Thomas M.},
abstractNote = {This dataset includes modeled velocity and discharge at five communities in the middle Kuskokwim River region: Aniak, Chuathbaluk, Crooked Creek, Red Devil and Stony River. Modeled velocities and discharge represent daily averages calculated for the openwater season (OWS) from June 1 - October 18 over the 20 year period 2000-2019 using the raw data described below and included in this archive; full details of methodology are described in (Brown et al. submitted to Renewable Energy). Raw data inputs to inform the modeling process include in-situ measurements of 1) discharge with an acoustic Doppler current meter (ADCP, 600kHz Workhorse Rio Grande by Teledyne RD Instruments) and a global positioning receiver (GPS, Trimble 5700, 5800 and R8) utilizing Real Time Kinematic (RTK) GPS mode over 1-2 days at each site in 2009 or 2010 (Ravens 2014), and 2) river stage with a water level logger (HOBO U20-001-01 by Onset) over 2-9 weeks at each site (Ravens 2014), 3) in addition to a 20 year long-term discharge record collected at the USGS stream gage site in Crooked Creek (USGS 2016). Raw data (discharge and stage) are included in this archive for two additional communities: Lower Kalskag and Sleetmute, where modeled velocities were not calculated due to equipment failure or loss. The USGS stream gage data at Crooked Creek (USGS 2016) and stream gage methodology (Turnipseed and Sauer 2010) are publicly available online, so the data are not duplicated here.},
url = {https://mhkdr.openei.org/submissions/460},
year = {2022},
howpublished = {Marine and Hydrokinetic Data Repository, University of Alaska Fairbanks, https://doi.org/10.15473/1908928},
note = {Accessed: 2025-05-04},
doi = {10.15473/1908928}
}
https://dx.doi.org/10.15473/1908928
Details
Data from Dec 2, 2022
Last updated Feb 3, 2023
Submitted Dec 6, 2022
Organization
University of Alaska Fairbanks
Contact
Eloise Brown
907.799.6718
Authors
Keywords
MHK, Hydrokinetic, energy, power, Kuskokwim River, Alaska, USA, river, resource, water velocity, discharge, Aniak, Chuathbaluk, Crooked Creek, Red Devil, Stony River, Lower Kalskag, Sleetmute, Current Energy Converter, CEC, ADCP, Acoustic Doppler Current Profiler, Teledyne Workhorse Rio Grande, raw data, processed data, river characterization, characterizationDOE Project Details
Project Name Modeling the Integration of Marine Energy into Microgrids
Project Lead Bill McShane
Project Number EE0009445