Kristina Koenig


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Learning from hydrological models’ challenges: A case study from the Nelson basin model intercomparison project
Mansoor Ahmed, Tricia A. Stadnyk, Alain Pietroniro, Hervé Awoye, A. R. Bajracharya, Juliane Mai, Bryan A. Tolson, Helen C. Shen, James R. Craig, Melissa Gervais, Kevin Sagan, Shane G. Wruth, Kristina Koenig, Rajtantra Lilhare, Stephen J. Déry, Scott Pokorny, Henry David Venema, Ameer Muhammad, Mahkameh Taheri
Journal of Hydrology, Volume 623

Intercomparison studies play an important, but limited role in understanding the usefulness and limitations of currently available hydrological models. Comparison studies are often limited to well-behaved hydrological regimes, where rainfall-runoff processes dominate the hydrological response. These efforts have not covered western Canada due to the difficulty in simulating that region’s complex cold region hydrology with varying spatiotemporal contributing areas. This intercomparison study is the first of a series of studies under the intercomparison project of the international and interprovincial transboundary Nelson-Churchill River Basin (NCRB) in North America (Nelson-MIP), which encompasses different ecozones with major areas of the non-contributing Prairie potholes, forests, glaciers, mountains, and permafrost. The performance of eight hydrological and land surface models is compared at different unregulated watersheds within the NCRB. This is done to assess the models’ streamflow performance and overall fidelity without and with calibration, to capture the underlying physics of the region and to better understand why models struggle to accurately simulate its hydrology. Results show that some of the participating models have difficulties in simulating streamflow and/or internal hydrological variables (e.g., evapotranspiration) over Prairie watersheds but most models performed well elsewhere. This stems from model structural deficiencies, despite the various models being well calibrated to observed streamflow. Some model structural changes are identified for the participating models for future improvement. The outcomes of this study offer guidance for practitioners for the accurate prediction of NCRB streamflow, and for increasing confidence in future projections of water resources supply and management.


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Simulating river regulation and reservoir performance in a continental-scale hydrologic model
Andrew Tefs, Tricia A. Stadnyk, Kristina Koenig, Stephen J. Déry, Matthew K. MacDonald, P. Slota, Charles G. Crawford, Mathew Hamilton
Environmental Modelling & Software, Volume 141

Abstract This study develops a novel reservoir regulation routine, incorporated into a continental-scale hydrologic model in the Nelson, Churchill, Yenisey, Ob, and Lena basins. This regulation routine is integrated into the Hydrological Predictions for the Environment (HYPE) hydrologic model, used for continental-scale applications. Applying this daily timestep regulation routine at 19 reservoirs in the Arctic Ocean watershed, performance is shown to improve upon the reservoir regulation currently available in the HYPE model when testing outflow and storage Nash Sutcliffe Efficiencies (NSEs). Improvements stem from intra-annually variable storage rule curves and a variety of stage-dependent outflow functions, improving simulation skill (median NSE increases of 0.18 over 21 reservoir outflow records and 0.49 over 19 reservoir storage records). This new, reservoir regulation routine is suitable for continental-scale modelling by deriving varying, rather than fixed, threshold water surface levels and associated outflow rules in a programmatic way for multiple reservoirs.


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Intercomparison of Multiple Hydroclimatic Datasets across the Lower Nelson River Basin, Manitoba, Canada
Rajtantra Lilhare, Stephen J. Déry, Scott Pokorny, Tricia A. Stadnyk, Kristina Koenig
Atmosphere-Ocean, Volume 57, Issue 4

ABSTRACTThis study evaluates the 1981–2010 spatiotemporal differences in six available climate datasets (daily total precipitation and mean air temperature) over the Lower Nelson River Basin (LNRB)...