"Womp Womp! Your browser does not support canvas :'("

20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska

Publicly accessible License 

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 - Open Energy Data Initiative (OEDI) 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 -
Export Citation to RIS
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, MHKDR. 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]. MHKDR. 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 MHKDR. https://doi.org/10.15473/1908928
@misc{OEDI_Dataset_8042, 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 = {MHKDR, University of Alaska Fairbanks, https://doi.org/10.15473/1908928}, note = {Accessed: 2025-05-03}, 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

Eloise J. Brown

University of Alaska Fairbanks

Amanda L. King

Alaska Pacific University

Paul X. Duvoy

University of Alaska Fairbanks

Erin D. Trochim

University of Alaska Fairbanks

Jeremy L. Kasper

University of Alaska Fairbanks

Melany Wilson

Alaska Pacific University

Thomas M. Ravens

University of Alaska Anchorage

DOE Project Details

Project Name Modeling the Integration of Marine Energy into Microgrids

Project Lead Bill McShane

Project Number EE0009445

Share

Submission Downloads