Updating inflow forecasts using empirical statistical matching for real-time prediction of daily net inflows to Okanagan Lake-Reference-Cited by-同舟云学术

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Updating inflow forecasts using empirical statistical matching for real-time prediction of daily net inflows to Okanagan Lake

Published:2023-05-16 Issue: Volume: Page:1-15
ISSN:0701-1784
Container-title:Canadian Water Resources Journal / Revue canadienne des ressources hydriques
language:en
Short-container-title:Canadian Water Resources Journal / Revue canadienne des ressources hydriques

Author:

Ma Brian O.¹,Uunila Lars²,Morton Cedar¹,Poulsen Frank¹,Schwarz Carl J.³,Alexander Clint A.D¹,Reimer Shaun⁴,Hyatt Kim⁵

Affiliation:

1. ESSA Technologies Ltd, Vancouver, BC, Canada

2. Polar Geoscience Ltd, Squamish, BC, Canada

3. StatMathComp Consulting by Schwarz, Inc, Port Moody, BC, Canada

4. Public Safety & Protection, FLNRORD, BC, Canada

5. Science Branch, Fisheries and Oceans Canada, Nanaimo, BC, Canada

Funder

Fisheries and Oceans Canada

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07011784.2023.2209547

Reference30 articles.

1. Bird, L., and R. Lindskoog. 2020. Okanagan Hydrologic Models for Long-term Water Planning & Management. Final Report prepared for the Okanagan Basin Water Board. 88 pp + Appendices.

2. Burton, H. 1998. “Reservoir Inflow Forecasting Using Time Series and Neural Network Models.” MSc diss. McGill University.

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