Reply to D. L. Peters' Comment on &amp;quot;Streamflow input to Lake Athabasca, Canada&amp;quot; by Rasouli et al. (2013)

Rasouli, Kabir; Hernández-Henríquez, Marco A.; Déry, Stephen J.

doi:10.5194/hess-19-1287-2015

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…A few recent studies have explored streamflow trends in western Canada, but the focus has often been on rivers draining the Rocky Mountains (e.g., Bawden, Burn, & Prowse, ; Bawden, Linton, Burn, & Prowse, ; Rasouli, Hernández‐Henríquez, & Déry, , ; Rood et al, ; Sauchyn, St‐Jacques, & Luckman, ; St. Jacques, Sauchyn, & Zhao, ). Thus, no study has explored runoff trends in rivers draining the Coast and Insular Mountains of BC, nor whether their hydrological regimes show any signs of transition over time.…”

Section: Introductionmentioning

confidence: 99%

Variability and trends in runoff in the rivers of British Columbia's Coast and Insular Mountains

Hernández-Henríquez

Sharma

Déry

2017

Hydrological Processes

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This study examines the 1914–2015 runoff trends and variability for 136 rivers draining British Columbia's Coast and Insular Mountains. Rivers are partitioned into eastward and westward flowing rivers based on flow direction from the Coast Mountains. Thus, eastward and westward runoff trends and influence of topography on runoff are explored. Our findings indicate that rivers flowing eastward to the Nechako and Chilcotin plateaus contribute the lowest annual runoff compared to westward rivers where runoff is high. Low interannual runoff variability is evident in westward rivers and their alpine watersheds, whereas eastward rivers exhibit high interannual runoff variability. On Vancouver Island, some of the rivers with the highest annual runoff exhibit high interannual variability. A significant (p < .05) negative correlation exists between mean annual runoff (Rm) and latitude, gauged area, mean elevation, and its corresponding coefficient of variation. However, a significant positive correlation was found between the glacierized area of mountainous regions and Rm. The mean coefficient of variation in annual runoff is significantly negatively correlated with latitude and glacierized area, but significantly positively correlated with longitude. Annual and seasonal runoff trend analyses of each river were performed for an early (1936–2015), a middle (1966–2015), and a late (1986–2015) period using the Mann–Kendall test. Trend analyses revealed a shift towards more positive detectable (signal‐to‐noise ratio > 1) trends in annual and seasonal runoff from the middle to the late period across the study domain. Most positive detectable seasonal runoff trends in the middle period occur in spring in glacierized westward rivers located >1,200 m, whereas in the late period, they all occur in fall and are regionally coherent around Vancouver Island and south coastal BC. Rivers draining eastward exhibit more positive trends over 1986–2015 compared to westward rivers. This study provides crucial information on the hydrology of mountain watersheds across British Columbia's coast in response to Pacific Decadal Oscillation phase changes, the elevational amplification of regional climate change, and their influences on precipitation and glacier retreat.

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Section: Introductionmentioning

confidence: 99%

Variability and trends in runoff in the rivers of British Columbia's Coast and Insular Mountains

Hernández-Henríquez

Sharma

Déry

2017

Hydrological Processes

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Forecast of streamflows to the Arctic Ocean by a Bayesian neural network model with snowcover and climate inputs

et al. 2020

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Increasing water flowing into the Arctic Ocean affects oceanic freshwater balance, which may lead to the thermohaline circulation collapse and unpredictable climatic conditions if freshwater inputs continue to increase. Despite the crucial role of ocean inflow in the climate system, less is known about its predictability, variability, and connectivity to cryospheric and climatic patterns on different time scales. In this study, multi-scale variation modes were decomposed from observed daily and monthly snowcover and river flows to improve the predictability of Arctic Ocean inflows from the Mackenzie River Basin in Canada. Two multi-linear regression and Bayesian neural network models were used with different combinations of remotely sensed snowcover, in-situ inflow observations, and climatic teleconnection patterns as predictors. The results showed that daily and monthly ocean inflows are associated positively with decadal snowcover fluctuations and negatively with interannual snowcover fluctuations. Interannual snowcover and antecedent flow oscillations have a more important role in describing the variability of ocean inflows than seasonal snowmelt and large-scale climatic teleconnection. Both models forecasted inflows seven months in advance with a Nash–Sutcliffe efficiency score of ≈0.8. The proposed methodology can be used to assess the variability of the freshwater input to northern oceans, affecting thermohaline and atmospheric circulations.

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Reply to D. L. Peters' Comment on "Streamflow input to Lake Athabasca, Canada" by Rasouli et al. (2013)

Cited by 2 publications

References 22 publications

Variability and trends in runoff in the rivers of British Columbia's Coast and Insular Mountains

Variability and trends in runoff in the rivers of British Columbia's Coast and Insular Mountains

Forecast of streamflows to the Arctic Ocean by a Bayesian neural network model with snowcover and climate inputs

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