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A near-term iterative forecasting system successfully predicts reservoir hydrodynamics and partitions uncertainty
View ORCID ProfileR. Quinn Thomas, Renato J. Figueiredo, Vahid Daneshmand, Bethany J. Bookout, Laura K. Puckett, Cayelan C. Carey
doi: https://doi.org/10.1101/2020.01.22.915538
R. Quinn Thomas
1Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, 24061, USA
Renato J. Figueiredo
2Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA
Vahid Daneshmand
2Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA
Bethany J. Bookout
3Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA
Laura K. Puckett
1Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, 24061, USA
Cayelan C. Carey
3Department of Biological Sciences, Virginia Tech, Blacksburg, VA, 24061, USA
Posted January 23, 2020.
A near-term iterative forecasting system successfully predicts reservoir hydrodynamics and partitions uncertainty
R. Quinn Thomas, Renato J. Figueiredo, Vahid Daneshmand, Bethany J. Bookout, Laura K. Puckett, Cayelan C. Carey
bioRxiv 2020.01.22.915538; doi: https://doi.org/10.1101/2020.01.22.915538
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