Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2513-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2513-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 May 2021
Research article |
| 18 May 2021
| 18 May 2021
The spatial extent of hydrological and landscape changes across the mountains and prairies of Canada in the Mackenzie and Nelson River basins based on data from a warm-season time window
Paul H. Whitfield
CORRESPONDING AUTHOR
Centre for Hydrology, University of Saskatchewan, Saskatoon, SK, S7N 1K2, Canada
Department of Earth Sciences, Simon Fraser University, Burnaby, BC, Canada
Environment and Climate Change Canada, Vancouver, BC, Canada
Philip D. A. Kraaijenbrink
Geosciences, Utrecht University, Utrecht, the Netherlands
Kevin R. Shook
Centre for Hydrology, University of Saskatchewan, Saskatoon, SK, S7N 1K2, Canada
John W. Pomeroy
Centre for Hydrology, University of Saskatchewan, Saskatoon, SK, S7N 1K2, Canada
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Chris M. DeBeer, Howard S. Wheater, John W. Pomeroy, Alan G. Barr, Jennifer L. Baltzer, Jill F. Johnstone, Merritt R. Turetsky, Ronald E. Stewart, Masaki Hayashi, Garth van der Kamp, Shawn Marshall, Elizabeth Campbell, Philip Marsh, Sean K. Carey, William L. Quinton, Yanping Li, Saman Razavi, Aaron Berg, Jeffrey J. McDonnell, Christopher Spence, Warren D. Helgason, Andrew M. Ireson, T. Andrew Black, Mohamed Elshamy, Fuad Yassin, Bruce Davison, Allan Howard, Julie M. Thériault, Kevin Shook, Michael N. Demuth, and Alain Pietroniro
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Julie M. Thériault, Stephen J. Déry, John W. Pomeroy, Hilary M. Smith, Juris Almonte, André Bertoncini, Robert W. Crawford, Aurélie Desroches-Lapointe, Mathieu Lachapelle, Zen Mariani, Selina Mitchell, Jeremy E. Morris, Charlie Hébert-Pinard, Peter Rodriguez, and Hadleigh D. Thompson
Earth Syst. Sci. Data, 13, 1233–1249, https://doi.org/10.5194/essd-13-1233-2021, https://doi.org/10.5194/essd-13-1233-2021, 2021
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Vincent Vionnet, Christopher B. Marsh, Brian Menounos, Simon Gascoin, Nicholas E. Wayand, Joseph Shea, Kriti Mukherjee, and John W. Pomeroy
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Guoqiang Tang, Martyn P. Clark, Andrew J. Newman, Andrew W. Wood, Simon Michael Papalexiou, Vincent Vionnet, and Paul H. Whitfield
Earth Syst. Sci. Data, 12, 2381–2409, https://doi.org/10.5194/essd-12-2381-2020, https://doi.org/10.5194/essd-12-2381-2020, 2020
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Remco J. de Kok, Philip D. A. Kraaijenbrink, Obbe A. Tuinenburg, Pleun N. J. Bonekamp, and Walter W. Immerzeel
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Nikolas O. Aksamit and John W. Pomeroy
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Hydrol. Earth Syst. Sci., 24, 2731–2754, https://doi.org/10.5194/hess-24-2731-2020, https://doi.org/10.5194/hess-24-2731-2020, 2020
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High-resolution Weather Research and Forecasting model near-surface outputs from control and future periods were bias-corrected by downscaling outputs with respect to meteorological stations in Marmot Creek Research Basin, Canadian Rocky Mountains. A hydrological model simulation driven by the bias-corrected outputs showed declined seasonal peak snowpack, shorter snow-cover duration, higher evapotranspiration, and increased streamflow discharge in Marmot Creek for the warmer and wetter future.
Vincent Vionnet, Vincent Fortin, Etienne Gaborit, Guy Roy, Maria Abrahamowicz, Nicolas Gasset, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 2141–2165, https://doi.org/10.5194/hess-24-2141-2020, https://doi.org/10.5194/hess-24-2141-2020, 2020
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The 2013 Alberta flood in Canada was typical of late-spring floods in mountain basins combining intense precipitation with rapid melting of late-lying snowpack. Hydrological simulations of this event are mainly influenced by (i) the spatial resolution of the atmospheric forcing due to the best estimate of precipitation at the kilometer scale and changes in turbulent fluxes contributing to snowmelt and (ii) uncertainties in initial snow conditions at high elevations. Soil texture has less impact.
Zilefac Elvis Asong, Mohamed Ezzat Elshamy, Daniel Princz, Howard Simon Wheater, John Willard Pomeroy, Alain Pietroniro, and Alex Cannon
Earth Syst. Sci. Data, 12, 629–645, https://doi.org/10.5194/essd-12-629-2020, https://doi.org/10.5194/essd-12-629-2020, 2020
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This dataset provides an improved set of forcing data for large-scale hydrological models for climate change impact assessment in the Mackenzie River Basin (MRB). Here, the strengths of two historical datasets were blended to produce a less-biased long-record product for hydrological modelling and climate change impact assessment over the MRB. This product is then used to bias-correct climate projections from the Canadian Regional Climate Model under RCP8.5.
Jennifer R. Dierauer, Diana M. Allen, and Paul H. Whitfield
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-676, https://doi.org/10.5194/hess-2019-676, 2020
Preprint withdrawn
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Increasing temperatures due to climate change will change patterns of snow accumulation and melt. How these changes in snow impact summer streamflow, however, is not well understood. This study combined computer-based watershed models with climate change projections to show how warm winters with less snow accumulation lead to less streamflow in the following summer season. In seasonally snow-covered regions, warm winters could become a common stressor on summer surface water supplies.
Christopher B. Marsh, John W. Pomeroy, and Howard S. Wheater
Geosci. Model Dev., 13, 225–247, https://doi.org/10.5194/gmd-13-225-2020, https://doi.org/10.5194/gmd-13-225-2020, 2020
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The Canadian Hydrological Model (CHM) is a next-generation distributed model. Although designed to be applied generally, it has a focus for application where cold-region processes, such as snowpacks, play a role in hydrology. A key feature is that it uses a multi-scale surface representation, increasing efficiency. It also enables algorithm comparisons in a flexible structure. Model philosophy, design, and several cold-region-specific examples are described.
Paul H. Whitfield, Philip D. A. Kraaijenbrink, Kevin R. Shook, and John W. Pomeroy
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-671, https://doi.org/10.5194/hess-2019-671, 2020
Revised manuscript not accepted
Short summary
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Using partial year streamflow records a regime and change classification were produced for ~ 400 watersheds in the Saskatchewan and Mackenzie River basins, and trends in water storage and vegetation were detected from satellite imagery. Three areas show consistent changes; north of 60° [increased streamflow and basin greenness], in the western Boreal Plains [decreased streamflow and basin greenness], and across the Prairies [three different patterns of increased streamflow and basin wetness].
Michael Schirmer and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 143–157, https://doi.org/10.5194/hess-24-143-2020, https://doi.org/10.5194/hess-24-143-2020, 2020
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The spatial distribution of snow water equivalent (SWE) and melt are important for hydrological applications in alpine terrain. We measured the spatial distribution of melt using a drone in very high resolution and could relate melt to topographic characteristics. Interestingly, melt and SWE were not related spatially, which influences the speed of areal melt out. We could explain this by melt varying over larger distances than SWE.
Kabir Rasouli, John W. Pomeroy, and Paul H. Whitfield
Hydrol. Earth Syst. Sci., 23, 4933–4954, https://doi.org/10.5194/hess-23-4933-2019, https://doi.org/10.5194/hess-23-4933-2019, 2019
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The combined effects of changes in climate, vegetation, and soils on mountain hydrology were modeled in three mountain basins. In the Yukon, an insignificant increasing effect of vegetation change on snow was found to be important enough to offset the climate change effect. In the Canadian Rockies, a combined effect of soil and climate change on runoff became significant, whereas their individual effects were not significant. Only vegetation change decreased runoff in the basin in Idaho.
Robert N. Armstrong, John W. Pomeroy, and Lawrence W. Martz
Hydrol. Earth Syst. Sci., 23, 4891–4907, https://doi.org/10.5194/hess-23-4891-2019, https://doi.org/10.5194/hess-23-4891-2019, 2019
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Digital and thermal images taken near midday were used to scale daily point observations of key factors driving actual-evaporation estimates across a complex Canadian Prairie landscape. Point estimates of actual evaporation agreed well with observed values via eddy covariance. Impacts of spatial variations on areal estimates were minor, and no covariance was found between model parameters driving the energy term. The methods can be applied further to improve land surface parameterisations.
Zilefac Elvis Asong, Mohamed Elshamy, Daniel Princz, Howard Wheater, John Pomeroy, Alain Pietroniro, and Alex Cannon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-249, https://doi.org/10.5194/hess-2019-249, 2019
Publication in HESS not foreseen
Teun van Woerkom, Jakob F. Steiner, Philip D. A. Kraaijenbrink, Evan S. Miles, and Walter W. Immerzeel
Earth Surf. Dynam., 7, 411–427, https://doi.org/10.5194/esurf-7-411-2019, https://doi.org/10.5194/esurf-7-411-2019, 2019
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Using data obtained from multiple UAV flights over a debris-covered glacier in the Himalaya between 2013 and 2018, we show that the adjacent moraines erode at rates of up to 16 cm per year, contributing to this debris cover. With retreating ice and resulting instability of moraines, this causes the glacier to cover a narrow zone along the lateral moraines in ever-thicker layers of rocks, resulting in a possible future decrease of local melt.
Xing Fang, John W. Pomeroy, Chris M. DeBeer, Phillip Harder, and Evan Siemens
Earth Syst. Sci. Data, 11, 455–471, https://doi.org/10.5194/essd-11-455-2019, https://doi.org/10.5194/essd-11-455-2019, 2019
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Meteorological, snow survey, streamflow, and groundwater data are presented from Marmot Creek Research Basin, a small alpine-montane forest headwater catchment in the Alberta Rockies. It was heavily instrumented, experimented upon, and operated by several federal government agencies between 1962 and 1986 and was re-established starting in 2004 by the University of Saskatchewan Centre for Hydrology. These long-term legacy data serve to advance our knowledge of hydrology of the Canadian Rockies.
Kabir Rasouli, John W. Pomeroy, J. Richard Janowicz, Tyler J. Williams, and Sean K. Carey
Earth Syst. Sci. Data, 11, 89–100, https://doi.org/10.5194/essd-11-89-2019, https://doi.org/10.5194/essd-11-89-2019, 2019
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A set of hydrometeorological data including daily precipitation, hourly air temperature, humidity, wind, solar and net radiation, soil temperature, soil moisture, snow depth and snow water equivalent, streamflow and water level in a groundwater well, and geographical information system data are presented in this paper. This dataset was recorded at different elevation bands in Wolf Creek Research Basin, near Whitehorse, Yukon Territory, Canada.
Phillip Harder, John W. Pomeroy, and Warren D. Helgason
Hydrol. Earth Syst. Sci., 23, 1–17, https://doi.org/10.5194/hess-23-1-2019, https://doi.org/10.5194/hess-23-1-2019, 2019
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As snow cover becomes patchy during snowmelt, energy is advected from warm snow-free surfaces to cold snow-covered surfaces. This paper proposes a simple sensible and latent heat advection model for snowmelt situations that can be coupled to one-dimensional energy balance snowmelt models. The model demonstrates that sensible and latent heat advection fluxes can compensate for one another, especially in early melt periods.
Gerhard Krinner, Chris Derksen, Richard Essery, Mark Flanner, Stefan Hagemann, Martyn Clark, Alex Hall, Helmut Rott, Claire Brutel-Vuilmet, Hyungjun Kim, Cécile B. Ménard, Lawrence Mudryk, Chad Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, Frédérique Chéruy, Jeanne Colin, Matthias Cuntz, Yongjiu Dai, Bertrand Decharme, Jeff Derry, Agnès Ducharne, Emanuel Dutra, Xing Fang, Charles Fierz, Josephine Ghattas, Yeugeniy Gusev, Vanessa Haverd, Anna Kontu, Matthieu Lafaysse, Rachel Law, Dave Lawrence, Weiping Li, Thomas Marke, Danny Marks, Martin Ménégoz, Olga Nasonova, Tomoko Nitta, Masashi Niwano, John Pomeroy, Mark S. Raleigh, Gerd Schaedler, Vladimir Semenov, Tanya G. Smirnova, Tobias Stacke, Ulrich Strasser, Sean Svenson, Dmitry Turkov, Tao Wang, Nander Wever, Hua Yuan, Wenyan Zhou, and Dan Zhu
Geosci. Model Dev., 11, 5027–5049, https://doi.org/10.5194/gmd-11-5027-2018, https://doi.org/10.5194/gmd-11-5027-2018, 2018
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This paper provides an overview of a coordinated international experiment to determine the strengths and weaknesses in how climate models treat snow. The models will be assessed at point locations using high-quality reference measurements and globally using satellite-derived datasets. How well climate models simulate snow-related processes is important because changing snow cover is an important part of the global climate system and provides an important freshwater resource for human use.
Fanny Brun, Patrick Wagnon, Etienne Berthier, Joseph M. Shea, Walter W. Immerzeel, Philip D. A. Kraaijenbrink, Christian Vincent, Camille Reverchon, Dibas Shrestha, and Yves Arnaud
The Cryosphere, 12, 3439–3457, https://doi.org/10.5194/tc-12-3439-2018, https://doi.org/10.5194/tc-12-3439-2018, 2018
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On debris-covered glaciers, steep ice cliffs experience dramatically enhanced melt compared with the surrounding debris-covered ice. Using field measurements, UAV data and submetre satellite imagery, we estimate the cliff contribution to 2 years of ablation on a debris-covered tongue in Nepal, carefully taking into account ice dynamics. While they occupy only 7 to 8 % of the tongue surface, ice cliffs contributed to 23 to 24 % of the total tongue ablation.
Zilefac Elvis Asong, Howard Simon Wheater, John Willard Pomeroy, Alain Pietroniro, Mohamed Ezzat Elshamy, Daniel Princz, and Alex Cannon
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-128, https://doi.org/10.5194/essd-2018-128, 2018
Preprint withdrawn
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Cold regions hydrology is very sensitive to the impacts of climate warming. We need better hydrological models driven by reliable climate data in order to assess hydrologic responses to climate change. Cold regions often have sparse surface observations, particularly at high elevations that generate a major amount of runoff. We produce a long-term dataset that can be used to better understand and represent the seasonal/inter-annual variability of hydrological fluxes and the the timing of runoff.
Julie M. Thériault, Ida Hung, Paul Vaquer, Ronald E. Stewart, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 22, 4491–4512, https://doi.org/10.5194/hess-22-4491-2018, https://doi.org/10.5194/hess-22-4491-2018, 2018
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Precipitation events associated with rain and snow on the eastern slopes of the Rocky Mountains, Canada, are a critical aspect of the regional water cycle. The goal is to characterize the precipitation and weather conditions in the Kananaskis Valley, Alberta, during a field experiment. Mainly dense solid precipitation reached the surface and occurred during downslope and upslope conditions. The precipitation phase has critical implications on the severity of flooding events in the area.
Sebastian A. Krogh and John W. Pomeroy
Hydrol. Earth Syst. Sci., 22, 3993–4014, https://doi.org/10.5194/hess-22-3993-2018, https://doi.org/10.5194/hess-22-3993-2018, 2018
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The Arctic has warmed and vegetation has expanded; however, impacts on hydrology are poorly understood. This study used observed meteorology from the last 56 years and changes in vegetation to simulate the water cycle of an Arctic headwater basin. Several changes were found: decreased snow cover duration, deeper permafrost and earlier peak flows. Most changes are from climate change; however, vegetation impacts blowing snow, partially compensating the impact of climate change on streamflow.
Jakob F. Steiner, Philip D. A. Kraaijenbrink, Sergiu G. Jiduc, and Walter W. Immerzeel
The Cryosphere, 12, 95–101, https://doi.org/10.5194/tc-12-95-2018, https://doi.org/10.5194/tc-12-95-2018, 2018
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Glaciers that once every few years or decades suddenly advance in length – also known as surging glaciers – are found in many glaciated regions in the world. In the Karakoram glacier tongues are additionally located at low altitudes and relatively close to human settlements. We investigate a very recent and extremely rapid surge in the region that has caused a lake to form in the main valley with possible risks for downstream communities.
Marcos R. C. Cordeiro, Henry F. Wilson, Jason Vanrobaeys, John W. Pomeroy, Xing Fang, and The Red-Assiniboine Project Biophysical Modelling Team
Hydrol. Earth Syst. Sci., 21, 3483–3506, https://doi.org/10.5194/hess-21-3483-2017, https://doi.org/10.5194/hess-21-3483-2017, 2017
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The physically based Cold Regions Hydrological Model (CRHM) was utilized to simulate runoff in the La Salle River, located in the northern Great Plains with flat topography, clay soils, and surface drainage. Snow sublimation and transport as well as infiltration to frozen soils were identified as critical in defining snowmelt. Challenges in representing infiltration into frozen but dry clay soils and flow routing under both dry and flooded conditions indicate the need for further study.
Craig D. Smith, Anna Kontu, Richard Laffin, and John W. Pomeroy
The Cryosphere, 11, 101–116, https://doi.org/10.5194/tc-11-101-2017, https://doi.org/10.5194/tc-11-101-2017, 2017
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One of the objectives of the WMO Solid Precipitation Intercomparison Experiment (SPICE) was to assess the performance of automated instruments that measure snow water equivalent and make recommendations on the best measurement practices and data interpretation. This study assesses the Campbell Scientific CS725 and the Sommer SSG100 for measuring SWE. Different measurement principals of the instruments as well as site characteristics influence the way that the SWE data should be interpreted.
Walter Immerzeel, Philip Kraaijenbrink, and Liss Andreassen
The Cryosphere Discuss., https://doi.org/10.5194/tc-2016-292, https://doi.org/10.5194/tc-2016-292, 2017
Revised manuscript not accepted
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Unmanned Aerial Vehicles (UAV) have become increasingly popular in environmental monitoring. In this study we use a UAV to derive a very detailed digital elevation model (DEM) of Storbreen in Norway. We compare our results with a past DEM to derive the mass balance of this glacier. Our results confirm strong mass loss and retreat of continental glaciers in southern Norway and we conclude that UAVs are effective tools in stuyding mountain glaciers at a high level of detail.
Nikolas O. Aksamit and John W. Pomeroy
The Cryosphere, 10, 3043–3062, https://doi.org/10.5194/tc-10-3043-2016, https://doi.org/10.5194/tc-10-3043-2016, 2016
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The first implementation of particle tracking velocimetry in outdoor alpine blowing snow has both provided new insight on intermittent snow particle transport initiation and entrainment in the dense near-surface "creep" layer whilst also confirming some wind tunnel observations. Environmental PTV has shown to be a viable avenue for furthering our understanding of the coupling of the atmospheric boundary layer turbulence and blowing snow transport.
Phillip Harder, Michael Schirmer, John Pomeroy, and Warren Helgason
The Cryosphere, 10, 2559–2571, https://doi.org/10.5194/tc-10-2559-2016, https://doi.org/10.5194/tc-10-2559-2016, 2016
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This paper assesses the accuracy of high-resolution snow depth maps generated from unmanned aerial vehicle imagery. Snow depth maps are generated from differencing snow-covered and snow-free digital surface models produced from structure from motion techniques. On average, the estimated snow depth error was 10 cm. This technique is therefore useful for observing snow accumulation and melt in deep snow but is restricted to observing peak snow accumulation in shallow snow.
Xicai Pan, Daqing Yang, Yanping Li, Alan Barr, Warren Helgason, Masaki Hayashi, Philip Marsh, John Pomeroy, and Richard J. Janowicz
The Cryosphere, 10, 2347–2360, https://doi.org/10.5194/tc-10-2347-2016, https://doi.org/10.5194/tc-10-2347-2016, 2016
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This study demonstrates a robust procedure for accumulating precipitation gauge measurements and provides an analysis of bias corrections of precipitation measurements across experimental sites in different ecoclimatic regions of western Canada. It highlights the need for and importance of precipitation bias corrections at both research sites and operational networks for water balance assessment and the validation of global/regional climate–hydrology models.
Christian Vincent, Patrick Wagnon, Joseph M. Shea, Walter W. Immerzeel, Philip Kraaijenbrink, Dibas Shrestha, Alvaro Soruco, Yves Arnaud, Fanny Brun, Etienne Berthier, and Sonam Futi Sherpa
The Cryosphere, 10, 1845–1858, https://doi.org/10.5194/tc-10-1845-2016, https://doi.org/10.5194/tc-10-1845-2016, 2016
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Approximately 25 % of the glacierized area in the Everest region is covered by debris, yet the surface mass balance of these glaciers has not been measured directly. From terrestrial photogrammetry and unmanned aerial vehicle (UAV) methods, this study shows that the ablation is strongly reduced by the debris cover. The insulating effect of the debris cover has a larger effect on total mass loss than the enhanced ice ablation due to supraglacial ponds and exposed ice cliffs.
Nicolas R. Leroux and John W. Pomeroy
The Cryosphere Discuss., https://doi.org/10.5194/tc-2016-55, https://doi.org/10.5194/tc-2016-55, 2016
Revised manuscript not accepted
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Snowmelt runoff reaches our rivers and is critical for water management and consumption in cold regions. Preferential flow paths form while snow is melting and accelerate the timing at which meltwater reaches the base of the snowpack and has great impact on basin hydrology. A novel 2D numerical model that simulates water and heat fluxes through a melting snowpack is presented. Its ability to simulate formation and flow through preferential flow paths and impacts on snowmelt runoff are discussed.
C. B. Ménard, R. Essery, and J. Pomeroy
Hydrol. Earth Syst. Sci., 18, 2375–2392, https://doi.org/10.5194/hess-18-2375-2014, https://doi.org/10.5194/hess-18-2375-2014, 2014
X. Fang, J. W. Pomeroy, C. R. Ellis, M. K. MacDonald, C. M. DeBeer, and T. Brown
Hydrol. Earth Syst. Sci., 17, 1635–1659, https://doi.org/10.5194/hess-17-1635-2013, https://doi.org/10.5194/hess-17-1635-2013, 2013
Related subject area
Subject: Global hydrology | Techniques and Approaches: Mathematical applications
Projecting end-of-century climate extremes and their impacts on the hydrology of a representative California watershed
Integrating process-related information into an artificial neural network for root-zone soil moisture prediction
Coherence of global hydroclimate classification systems
Design flood estimation for global river networks based on machine learning models
Attributing correlation skill of dynamical GCM precipitation forecasts to statistical ENSO teleconnection using a set-theory-based approach
Averaging over spatiotemporal heterogeneity substantially biases evapotranspiration rates in a mechanistic large-scale land evaporation model
Rainfall Estimates on a Gridded Network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016
A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE)
Hydrological effects of climate variability and vegetation dynamics on annual fluvial water balance in global large river basins
Spatial patterns and characteristics of flood seasonality in Europe
Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate
Effects of different reference periods on drought index (SPEI) estimations from 1901 to 2014
The transformed-stationary approach: a generic and simplified methodology for non-stationary extreme value analysis
Global trends in extreme precipitation: climate models versus observations
A global water cycle reanalysis (2003–2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble
A generic method for hydrological drought identification across different climate regions
Simplifying a hydrological ensemble prediction system with a backward greedy selection of members – Part 1: Optimization criteria
Simplifying a hydrological ensemble prediction system with a backward greedy selection of members – Part 2: Generalization in time and space
Fadji Z. Maina, Alan Rhoades, Erica R. Siirila-Woodburn, and Peter-James Dennedy-Frank
Hydrol. Earth Syst. Sci., 26, 3589–3609, https://doi.org/10.5194/hess-26-3589-2022, https://doi.org/10.5194/hess-26-3589-2022, 2022
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In this work, we assess the effects of end-of-century extreme dry and wet conditions on the hydrology of California. Our results, derived from cutting-edge and high-resolution climate and hydrologic models, highlight that (1) water storage will be larger and increase earlier in the year, yet the summer streamflow will decrease as a result of high evapotranspiration rates, and that (2) groundwater and lower-order streams are very sensitive to decreases in snowmelt and higher evapotranspiration.
Roiya Souissi, Mehrez Zribi, Chiara Corbari, Marco Mancini, Sekhar Muddu, Sat Kumar Tomer, Deepti B. Upadhyaya, and Ahmad Al Bitar
Hydrol. Earth Syst. Sci., 26, 3263–3297, https://doi.org/10.5194/hess-26-3263-2022, https://doi.org/10.5194/hess-26-3263-2022, 2022
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In this study, we investigate the combination of surface soil moisture information with process-related features, namely, evaporation efficiency, soil water index and normalized difference vegetation index, using artificial neural networks to predict root-zone soil moisture. The joint use of process-related features yielded more accurate predictions in the case of arid and semiarid conditions. However, they have no to little added value in temperate to tropical conditions.
Kathryn L. McCurley Pisarello and James W. Jawitz
Hydrol. Earth Syst. Sci., 25, 6173–6183, https://doi.org/10.5194/hess-25-6173-2021, https://doi.org/10.5194/hess-25-6173-2021, 2021
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Climate classification systems divide the Earth into zones of similar climates. We compared the within-zone hydroclimate similarity and zone shape complexity of a suite of climate classification systems, including new ones formed in this study. The most frequently used system had high similarity but high complexity. We propose the Water-Energy Clustering framework, which also had high similarity but lower complexity. This new system is therefore proposed for future hydroclimate assessments.
Gang Zhao, Paul Bates, Jeffrey Neal, and Bo Pang
Hydrol. Earth Syst. Sci., 25, 5981–5999, https://doi.org/10.5194/hess-25-5981-2021, https://doi.org/10.5194/hess-25-5981-2021, 2021
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Design flood estimation is a fundamental task in hydrology. We propose a machine- learning-based approach to estimate design floods anywhere on the global river network. This approach shows considerable improvement over the index-flood-based method, and the average bias in estimation is less than 18 % for 10-, 20-, 50- and 100-year design floods. This approach is a valid method to estimate design floods globally, improving our prediction of flood hazard, especially in ungauged areas.
Tongtiegang Zhao, Haoling Chen, Quanxi Shao, Tongbi Tu, Yu Tian, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 25, 5717–5732, https://doi.org/10.5194/hess-25-5717-2021, https://doi.org/10.5194/hess-25-5717-2021, 2021
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This paper develops a novel approach to attributing correlation skill of dynamical GCM forecasts to statistical El Niño–Southern Oscillation (ENSO) teleconnection using the coefficient of determination. Three cases of attribution are effectively facilitated, which are significantly positive anomaly correlation attributable to positive ENSO teleconnection, attributable to negative ENSO teleconnection and not attributable to ENSO teleconnection.
Elham Rouholahnejad Freund, Massimiliano Zappa, and James W. Kirchner
Hydrol. Earth Syst. Sci., 24, 5015–5025, https://doi.org/10.5194/hess-24-5015-2020, https://doi.org/10.5194/hess-24-5015-2020, 2020
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Evapotranspiration (ET) is the largest flux from the land to the atmosphere and thus contributes to Earth's energy and water balance. Due to its impact on atmospheric dynamics, ET is a key driver of droughts and heatwaves. In this paper, we demonstrate how averaging over land surface heterogeneity contributes to substantial overestimates of ET fluxes. We also demonstrate how one can correct for the effects of small-scale heterogeneity without explicitly representing it in land surface models.
Steefan Contractor, Markus G. Donat, Lisa V. Alexander, Markus Ziese, Anja Meyer-Christoffer, Udo Schneider, Elke Rustemeier, Andreas Becker, Imke Durre, and Russell S. Vose
Hydrol. Earth Syst. Sci., 24, 919–943, https://doi.org/10.5194/hess-24-919-2020, https://doi.org/10.5194/hess-24-919-2020, 2020
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This paper provides the documentation of the REGEN dataset, a global land-based daily observational precipitation dataset from 1950 to 2016 at a gridded resolution of 1° × 1°. REGEN is currently the longest-running global dataset of daily precipitation and is expected to facilitate studies looking at changes and variability in several aspects of daily precipitation distributions, extremes and measures of hydrological intensity.
Helena Gerdener, Olga Engels, and Jürgen Kusche
Hydrol. Earth Syst. Sci., 24, 227–248, https://doi.org/10.5194/hess-24-227-2020, https://doi.org/10.5194/hess-24-227-2020, 2020
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GRACE-derived drought indicators enable us to detect hydrological droughts based on changes observed in all storages. By performing synthetic experiments, we find that droughts identified by existing and modified indicators are biased by trends and GRACE-based spatial noise. A modified version of the Zhao et al. (2017) indicator is found to be particularly robust against spatial noise and is therefore applied to real GRACE data over South Africa.
Jianyu Liu, Qiang Zhang, Vijay P. Singh, Changqing Song, Yongqiang Zhang, Peng Sun, and Xihui Gu
Hydrol. Earth Syst. Sci., 22, 4047–4060, https://doi.org/10.5194/hess-22-4047-2018, https://doi.org/10.5194/hess-22-4047-2018, 2018
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Considering effective precipitation (Pe), the Budyko framework was extended to the annual water balance analysis. To reflect the mismatch between water supply (precipitation, P) and energy (potential evapotranspiration,
E0), a climate seasonality and asynchrony index (SAI) were proposed in terms of both phase and amplitude mismatch between P and E0.
Julia Hall and Günter Blöschl
Hydrol. Earth Syst. Sci., 22, 3883–3901, https://doi.org/10.5194/hess-22-3883-2018, https://doi.org/10.5194/hess-22-3883-2018, 2018
Sanaa Hobeichi, Gab Abramowitz, Jason Evans, and Anna Ukkola
Hydrol. Earth Syst. Sci., 22, 1317–1336, https://doi.org/10.5194/hess-22-1317-2018, https://doi.org/10.5194/hess-22-1317-2018, 2018
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We present a new global ET dataset and associated uncertainty with monthly temporal resolution for 2000–2009 and 0.5 grid cell size. Six existing gridded ET products are combined using a weighting approach trained by observational datasets from 159 FLUXNET sites. We confirm that point-based estimates of flux towers provide information at the grid scale of these products. We also show that the weighted product performs better than 10 different existing global ET datasets in a range of metrics.
Myoung-Jin Um, Yeonjoo Kim, Daeryong Park, and Jeongbin Kim
Hydrol. Earth Syst. Sci., 21, 4989–5007, https://doi.org/10.5194/hess-21-4989-2017, https://doi.org/10.5194/hess-21-4989-2017, 2017
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This study aims to understand how different reference periods (i.e., calibration periods) of climate data for estimating the drought index influence regional drought assessments. Specifically, we investigate the influence of different reference periods on historical drought characteristics such as trends, frequency, intensity and spatial extents using the Standard Precipitation Evapotranspiration Index (SPEI) estimated from the two widely used global datasets.
Lorenzo Mentaschi, Michalis Vousdoukas, Evangelos Voukouvalas, Ludovica Sartini, Luc Feyen, Giovanni Besio, and Lorenzo Alfieri
Hydrol. Earth Syst. Sci., 20, 3527–3547, https://doi.org/10.5194/hess-20-3527-2016, https://doi.org/10.5194/hess-20-3527-2016, 2016
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The climate is subject to variations which must be considered
studying the intensity and frequency of extreme events.
We introduce in this paper a new methodology
for the study of variable extremes, which consists in detecting
the pattern of variability of a time series, and applying these patterns
to the analysis of the extreme events.
This technique comes with advantages with respect to the previous ones
in terms of accuracy, simplicity, and robustness.
B. Asadieh and N. Y. Krakauer
Hydrol. Earth Syst. Sci., 19, 877–891, https://doi.org/10.5194/hess-19-877-2015, https://doi.org/10.5194/hess-19-877-2015, 2015
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We present a systematic comparison of changes in historical extreme precipitation in station observations (HadEX2) and 15 climate models from the CMIP5 (as the largest and most recent sets of available observational and modeled data sets), on global and continental scales for 1901-2010, using both parametric (linear regression) and non-parametric (the Mann-Kendall as well as Sen’s slope estimator) methods, taking care to sample observations and models spatially and temporally in comparable ways.
A. I. J. M. van Dijk, L. J. Renzullo, Y. Wada, and P. Tregoning
Hydrol. Earth Syst. Sci., 18, 2955–2973, https://doi.org/10.5194/hess-18-2955-2014, https://doi.org/10.5194/hess-18-2955-2014, 2014
M. H. J. van Huijgevoort, P. Hazenberg, H. A. J. van Lanen, and R. Uijlenhoet
Hydrol. Earth Syst. Sci., 16, 2437–2451, https://doi.org/10.5194/hess-16-2437-2012, https://doi.org/10.5194/hess-16-2437-2012, 2012
D. Brochero, F. Anctil, and C. Gagné
Hydrol. Earth Syst. Sci., 15, 3307–3325, https://doi.org/10.5194/hess-15-3307-2011, https://doi.org/10.5194/hess-15-3307-2011, 2011
D. Brochero, F. Anctil, and C. Gagné
Hydrol. Earth Syst. Sci., 15, 3327–3341, https://doi.org/10.5194/hess-15-3327-2011, https://doi.org/10.5194/hess-15-3327-2011, 2011
Cited articles
Agarwal, A., Maheswaran, R., Kurths, J., and Khosa, R.: Wavelet spectrum and
self-organizing maps-based approach for hydrologic regionalization – a case
study in the western United States, Water Resour. Manag., 30, 4399–4413,
https://doi.org/10.1007/s11269-016-1428-1, 2016.
Akinremi, O. O., McGinn, S. M., and Cutforth, H. W.: Precipitation trends on
the Canadian Prairies, J. Climate, 12, 2996–3003,
https://doi.org/10.1175/1520-0442(1999)012<2996:PTOTCP>2.0.CO;2,
1999.
Anderson, E. P., Chlumsky, R., McCaffrey, D., Trubilowicz, J. W., Shook, K.
R., and Whitfield, P. H.: R-functions for Canadian hydrologists: a
Canada-wide collaboration, Can. Water Resour. J., 44, 108–112,
https://doi.org/10.1080/07011784.2018.1492884, 2018.
Asong, Z. E., Khaliq, M. N., and Wheater, H. S.: Multisite multivariate
modeling of daily precipitation and temperature in the Canadian Prairie
Provinces using generalized linear models, Clim. Dynam., 47, 2901–2921,
https://doi.org/10.1007/s00382-016-3004-z, 2016.
Auerbach, D. A., Buchanan, B. P., Alexiades, A. V., Anderson, E. P.,
Encalada, A. C., Larson, E. I., McManamay, R. A., Poe, G. L., Walter, M. T.,
and Flecker, A. S.: Towards catchment classification in data-scarce regions,
Ecohydrology, , 9, 1235–1247, https://doi.org/10.1002/eco.1721, 2016.
Bawden, A. J., Burn, D. H., and Prowse, T. D.: Recent changes in patterns of
western Canadian river flow and association with climatic drivers, Hydrol.
Res., 46, 551–565, https://doi.org/10.2166/nh.2014.032, 2015.
Bennett, K. E., Werner, A. T., and Schnorbus, M. A.: Uncertainties in
hydrologic and climate change impact analyses in headwater basins of British
Columbia, J. Climate, 25, 5711–5730, https://doi.org/10.1175/JCLI-D-11-00417.1,
2012.
Bennett, K. E., Cannon, A. J., and Hinzman, L.: Historical trends and
extremes in boreal Alaska river basins, J. Hydrol., 527, 590–607,
https://doi.org/10.1016/j.jhydrol.2015.04.065, 2015.
Berndt, D. J., and Clifford, J.: Using dynamic time warping to find patterns in time series, AAAI Technical Report WS-94-03, Seattle, WA, 1994.
Bevington, A., Gleason, H., Giroux-Bougard, X., and de Jong, J. T.: A review
of free optical satellite imagery for watershed-scale landscape analysis,
Confluence: Journal of Watershed Science and Management, 2, 1–22,
https://doi.org/10.22230/jwsm.2018v2n2a18, 2018.
Borchert, J. R.: The climate of the central North American grassland, Ann.
Assoc. Am. Geogr., 40, 1–39, 1950.
Botter, G., Basso, S., Rodriguez-Iturbe, I., and Rinaldo, A.: Resilience of
river flow regimes, P. Natl. Acad. Sci. USA, 110,
12925–12930, https://doi.org/10.1073/pnas.1311920110, 2013.
Bouchard, F., Turner, K. W., MacDonald, L. A., Deakin, C., White, H.,
Farquharson, N., Medeiros, A. S., Wolfe, B. B., Hall, R. I., and Pienitz,
R.: Vulnerability of shallow subarctic lakes to evaporate and desiccate when
snowmelt runoff is low, Geophys. Res. Lett., 40, 6112–6117,
https://doi.org/10.1002/2013GL058635, 2013.
Bower, D., Hannah, D. M., and McGregor, G. R.: Techniques for assessing the
climatic sensitivity of river flow regimes, Hydrol. Process., 18,
2515–2543, https://doi.org/10.1002/hyp.1479, 2004.
Burn, D. H.: Hydrologic effects of climate change in west-central Canada,
J. Hydrol., 160, 53–70, https://doi.org/10.1016/0022-1694(94)90033-7, 1994.
Burn, D. H. and Hag Elnur, M. A.: Detection of hydrologic trends and
variability, J. Hydrol., 255, 107–122,
https://doi.org/10.1016/S0022-1694(01)00514-5, 2002.
Buttle, J. M., Boon, S., Peters, D. L., Spence, C., Tromp-van Meerveld, H.
J., and Whitfield, P. H.: An overview of temporary stream hydrology in
Canada, Can. Water Resour. J., 37, 279–310,
https://doi.org/10.4296/cwrj2011-903, 2012.
Cannon, A. J. and Whitfield, P. H.: Downscaling recent streamflow
conditions in British Columbia, Canada using ensemble neural network models,
J. Hydrol., 259, 136–151, https://doi.org/10.1016/S0022-1694(01)00581-9, 2002.
Carey, S. K., Tetzlaff, D., Seibert, J., Soulsby, C., Buttle, J. M., Laudon,
H., McDonnell, J., McGuire, K., Caissie, D., and Shanley, J.:
Inter-comparison of hydro-climatic regimes across northern catchments:
Synchronicity, resistance and resilience, Hydrol. Process., 24,
3591–3602, https://doi.org/10.1002/hyp.7880, 2010.
Carpino, O., Berg, A. A., Quinton, W. L., and Adams, J.: Climate change and
permafrost thaw-induced boreal forest loss in northwestern Canada,
Environ. Res. Lett., 13, 084018, https://doi.org/10.1088/1748-9326/aad74e, 2018.
Céréghino, R. and Park, Y.-S.: Review of the Self-Organizing Map
(SOM) approach in water resources: Commentary, Environ. Modell.
Softw., 24, 945–947, https://doi.org/10.1016/j.envsoft.2009.01.008, 2009.
Chatterjee, S., Daniels, M. D., Sheshukov, A. Y., and Gao, J.: Projected
climate change impacts on hydrologic flow regimes in the Great Plains of
Kansas, River Res. Appl., 34, 195–206, https://doi.org/10.1002/rra.3249, 2018.
Chen, Z. and Grasby, S. E.: Impact of decadal and century-scale
oscillations on hydroclimate trend analyses, J. Hydrol., 365,
122–133, 2009.
Clarke, G. K. C., Jarosch, A. H., Anslow, F. S., Radić, V., and
Menounos, B.: Projected deglaciation of western Canada in the twenty-first
century, Nat. Geosci., 8, 372–377, https://doi.org/10.1038/ngeo2407, 2015.
Connon, R. F., Quinton, W. L., Craig, J. R., and Hayashi, M.: Changing
hydrologic connectivity due to permafrost thaw in the lower Liard River
valley, NWT, Canada, Hydrol. Process., 28, 4163–4178,
https://doi.org/10.1002/hyp.10206, 2014.
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., and Lambin, E.: Digital
change detection methods in ecosystem monitoring: a review, Int.
J. Remote Sens., 25, 1565–1596, https://doi.org/10.1080/0143116031000101675,
2004.
de Jong, R., Verbesselt, J., Schaepman, M. E., and Bruin, S.: Trend changes
in global greening and browning: contribution of short-term trends to
longer-term change, Glob. Change Biol., 18, 642–655,
https://doi.org/10.1111/j.1365-2486.2011.02578.x, 2012.
DeBeer, C. M., Wheater, H. S., Quinton, W. L., Carey, S. K., Stewart, R. E.,
Mackay, M. D., and Marsh, P.: The changing cold regions network:
Observation, diagnosis and prediction of environmental change in the
Saskatchewan and Mackenzie River Basins, Canada, Sci. China Earth
Sci., 58, 46–60, https://doi.org/10.1007/s11430-014-5001-6,
2015.
DeBeer, C. M., Wheater, H. S., Carey, S. K., and Chun, K. P.: Recent climatic, cryospheric, and hydrological changes over the interior of western Canada: a review and synthesis, Hydrol. Earth Syst. Sci., 20, 1573–1598, https://doi.org/10.5194/hess-20-1573-2016, 2016.
DeBeer, C. M., Wheater, H. S., Pomeroy, J. W., Barr, A. G., Baltzer, J. L., Johnstone, J. F., Turetsky, M. R., Stewart, R. E., Hayashi, M., van der Kamp, G., Marshall, S., Campbell, E., Marsh, P., Carey, S. K., Quinton, W. L., Li, Y., Razavi, S., Berg, A., McDonnell, J. J., Spence, C., Helgason, W. D., Ireson, A. M., Black, T. A., Elshamy, M., Yassin, F., Davison, B., Howard, A., Thériault, J. M., Shook, K., Demuth, M. N., and Pietroniro, A.: Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada – Part 2: Future change in cryosphere, vegetation, and hydrology, Hydrol. Earth Syst. Sci., 25, 1849–1882, https://doi.org/10.5194/hess-25-1849-2021, 2021.
Déry, S. J., Hernández-Henríquez, M. A., Burford, J. E., and
Wood, E. F.: Observational evidence of an intensifying hydrological cycle in
northern Canada, Geophys. Res. Lett., 36, L13402, https://doi.org/10.1029/2009GL038852,
2009a.
Déry, S. J., Stahl, K., Moore, R. D., Whitfield, P. H., Menounos, B.,
and Burford, J. E.: Detection of runoff timing changes in pluvial, nival,
and glacial rivers of Western Canada, Water Resour. Res., 45, W04426,
https://doi.org/10.1029/2008WR006975, 2009b.
Devito, K. J., Creed, I., Gan, T., Mendoza, C., Petrone, R., Silins, U., and
Smerdon, B.: A framework for broad-scale classification of hydrologic
response units on the Boreal Plain: Is topography the last thing to
consider?, Hydrol. Process., 19, 1705–1714, https://doi.org/10.1002/hyp.5881,
2005.
Dumanski, S., Pomeroy, J. W., and Westbrook, C. J.: Hydrological regime
changes in a Canadian Prairie basin, Hydrol. Process., 29, 3893–3904,
https://doi.org/10.1002/hyp.10567, 2015.
Eamer, J., Henry, G., Gunn, A., and Harding, L.: Arctic ecozone status and
trends assessment. Canadian Biodiversity: Ecosystem Status and Trends 2010,
Technical Ecozone Report, Canadian Councils of Resource Ministers, Ottawa,
ON, Ottawa, ON, available at: http://www.biodivcanada.ca/default.asp?lang=En&n=137E1147-1 (last access: 5 May 2021), xii+246, 2014.
Environment Canada: EC Data Explorer V1.2.30, Water Survey of Canada V1.2.30, available at: https://www.canada.ca/en/environment-climate-change/services/water-overview/quantity/monitoring/survey/data-products-services/explorer.html (last access: 5 May 2021), 2010.
Ehret, U. and Zehe, E.: Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events, Hydrol. Earth Syst. Sci., 15, 877–896, https://doi.org/10.5194/hess-15-877-2011, 2011.
Ehsanzadeh, E., van der Kamp, G., and Spence, C.: On the changes in
long-term streamflow regimes in the North American Prairies, Hydrolog.
Sci. J., 61, 64–78, https://doi.org/10.1080/02626667.2014.967249, 2016.
Fleming, S. W.: Impacts of climatic trends upon groundwater resources, aquifer-stream interactions and aquatic habitat in glacierized watersheds, Yukon Territory, Canada, in: Glaciology and Earth's Changing Environment, edited by: Knight, P. G., Blackwell Publishing, Malden, MA, 151–152, 2007.
Fleming, S. W. and Dahlke, H. E.: Modulation of linear and nonlinear
hydroclimatic dynamics by mountain glaciers in Canada and Norway: Results
from information-theoretic polynomial selection, Can. Water Resour.
J., 39, 324–341,
https://doi.org/10.1080/07011784.2014.942164, 2014.
Fohrer, N., Haverkamp, S., Eckhardt, K., and Frede, H.-G.: Hydrologic
response to land use changes on the catchment scale, Phys. Chem.
Earth Pt. B, 26, 577–582,
https://doi.org/10.1016/S1464-1909(01)00052-1, 2001.
Forbes, K. A., Kienzle, S. W., Coburn, C. A., Byrne, J. M., and Rasmussen,
J.: Simulating the hydrological response to predicted climate change on a
watershed in southern Alberta, Canada, Climatic Change, 105, 555–576,
https://doi.org/10.1007/s10584-010-9890-x, 2011.
Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S. R.,
and Reichstein, M.: Trend change detection in NDVI time series: Effects of
inter-annual variability and methodology, Remote Sensing, 5, 2113–2144,
https://doi.org/10.3390/rs5052113, 2013.
Forman, B. A., Reichle, R. H., and Rodell, M.: Assimilation of terrestrial
water storage from GRACE in a snow-dominated basin, Water Resour.
Res., 48, W01507, https://doi.org/10.1029/2011WR011239, 2012.
Fyfe, J. and Flato, G. M.: Enhanced climate change and its detection over
the Rocky Mountains, J. Climate, 12, 230–243, 1999.
Gan, T. Y.: Hydroclimatic trends and possible climatic warming in the
Canadian Prairies, Water Resour. Res., 34, 3009–3015,
https://doi.org/10.1029/98WR01265, 1998.
Garbrecht, J., Van Liew, M. W., and Brown, G. O.: Trends in precipitation,
streamflow, and evapotranspiration in the Great Plains of the United States,
J. Hydrol. Eng., 9, 360–367,
https://doi.org/10.1061/(ASCE)1084-0699(2004)9:5(360), 2004.
Gerken, T., Bromley, G. T., and Stoy, P. C.: Surface moistening trends in
the northern North American Great Plains increase the likelihood of
convective initiation, J. Hydrometeorol., 19, 227–244,
https://doi.org/10.1175/JHM-D-17-0117.1, 2018.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore,
R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone,
Remote Sens. Environ., 202, 18–27, https://doi.org/10.1016/j.rse.2017.06.031,
2017.
Groisman, P. Y., Knight, R. W., Heim, R. R., Jr., Razuvaev, V. N.,
Sherstyukov, B. G., Speranskaya, N. A., Whitfield, P. H., Tuomenvirta, H.,
and Alexandersson, H.: Changes in climate potential forest fire danger and
land use in high latitudes of the northern hemisphere, Abstract of the paper
to the 12th Boreal Forest Research Association International Conference, 3–7
May 2004, Fairbanks, Alaska, 1, 2004.
Hall, D. K., Riggs, G. A., and Salomonson, V. V.: Development of methods for
mapping global snow cover using moderate resolution imaging
spectroradiometer data, Remote Sens. Environ., 54, 127–140,
https://doi.org/10.1016/0034-4257(95)00137-P, 1995.
Halverson, M. J. and Fleming, S. W.: Complex network theory, streamflow, and hydrometric monitoring system design, Hydrol. Earth Syst. Sci., 19, 3301–3318, https://doi.org/10.5194/hess-19-3301-2015, 2015.
Hannaford, J., Buys, G., Stahl, K., and Tallaksen, L. M.: The influence of decadal-scale variability on trends in long European streamflow records, Hydrol. Earth Syst. Sci., 17, 2717–2733, https://doi.org/10.5194/hess-17-2717-2013, 2013.
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A. A.,
Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., and Loveland, T. R.:
High-resolution global maps of 21st-century forest cover change, Science,
342, 850–853, https://doi.org/10.1126/science.1244693, 2013.
Harder, P., Pomeroy, J. W., and Westbrook, C. J.: Hydrological resilience of
a Canadian Rockies headwaters basin subject to changing climate, extreme
weather, and forest management, Hydrol. Process., 29, 3905–3924,
https://doi.org/10.1002/hyp.10596, 2015.
Hatcher, K. L. and Jones, J. A.: Climate and streamflow trends in the
Columbia River Basin: evidence for ecological and engineering resilience to
climate change, Atmos.-Ocean, 51, 436–455, https://doi.org/10.1080/07055900.2013.808167, 2013.
Hayashi, M., Van der Kamp, G., and Rosenberry, D. O.: Hydrology of Prairie
wetlands: Understanding the integrated surface-water and groundwater
processes, Wetlands, 36, 237–254, https://doi.org/10.1007/s13157-016-0797-9, 2016.
Hewitson, B. C. and Crane, R. G.: Self-organizing maps: applications to
synoptic climatology, Clim. Res., 22, 13–26, https://doi.org/10.3354/cr022013,
2002.
Hinzman, L. D., Bettez, N. D., Bolton, W. R., Chapin, F. S., Dyurgerov, M.
B., Fastie, C. L., Griffith, B., Hollister, R. D., Hope, A., and Huntington,
H. P.: Evidence and implications of recent climate change in northern Alaska
and other arctic regions, Climatic Change, 72, 251–298,
https://doi.org/10.1007/s10584-005-5352-2, 2005.
Hogg, E. H.: Climate and the southern limit of the western Canadian boreal
forest, Can. J. Forest Res., 24, 1835–1845,
https://doi.org/10.1139/x94-237, 1994.
Ireson, A. M., Barr, A. G., Johnstone, J. F., Mamet, S. D., van der Kamp,
G., Whitfield, C. J., Michel, N. L., North, R. L., Westbrook, C. J., DeBeer,
C., Chun, K. P., Nazemi, A., and Sagin, J.: The changing water cycle: the
Boreal Plains ecozone of Western Canada, WIREs Water, 2, 505–521,
https://doi.org/10.1002/wat2.1098, 2015.
Janowicz, R.: Apparent recent trends in hydrologic response in permafrost
regions of northwest Canada, Hydrol. Res., 39, 267–275,
https://doi.org/10.2166/nh.2008.103, 2008.
Jost, G., Moore, R. D., Menounos, B., and Wheate, R.: Quantifying the contribution of glacier runoff to streamflow in the upper Columbia River Basin, Canada, Hydrol. Earth Syst. Sci., 16, 849–860, https://doi.org/10.5194/hess-16-849-2012, 2012.
Jorgenson, M. T., Frost, G. V., and Dissing, D.: Drivers of landscape
changes in coastal ecosystems on the Yukon-Kuskokwim Delta, Alaska, Remote
Sensing, 10, 1280, https://doi.org/10.3390/rs10081280, 2018.
Kalteh, A. M., Hjorth, P., and Berndtsson, R.: Review of the self-organizing
map (SOM) approach in water resources: Analysis, modelling and application,
Environ. Modell. Softw., 23, 835–845,
https://doi.org/10.1016/j.envsoft.2007.10.001, 2008.
Kane, D. L.: The impact of hydrologic perturbations on arctic ecosystems
induced by climate change, in: Global change and Arctic Terrestrial
Ecosystems, Springer, Springer, New York, NY, 63–81, 1997.
Keogh, E. and Ratanamahatana, C. A.: Exact indexing of dynamic time
warping, Know. Inf. Syst., 7, 358–386,
https://doi.org/10.1007/s10115-004-0154-9, 2005.
Ketchen, D. J. and Shook, C. L.: The application of cluster analysis in
strategic management research: an analysis and critique, Strategic
Manage. J., 17, 441–458,
https://doi.org/10.1002/(SICI)1097-0266(199606)17:6<441::AID-SMJ819>3.0.CO;2-G, 1996.
Kodinariya, T. M. and Makwana, P. R.: Review on determining number of
cluster in k-means clustering, International Journal of Advance Research in
Computer Science and Management Studies, 1, 90–95, 2013.
Kohonen, T. and Somervuo, P.: Self-organizing maps of symbol strings,
Neurocomputing, 21, 19–30, https://doi.org/10.1016/S0925-2312(98)00031-9, 1998.
Krogh, S. A. and Pomeroy, J. W.: Recent changes to the hydrological cycle of an Arctic basin at the tundra–taiga transition, Hydrol. Earth Syst. Sci., 22, 3993–4014, https://doi.org/10.5194/hess-22-3993-2018, 2018.
Lee, E. J., Livino, A., Han, S.-C., Zhang, K., Briscoe, J., Kelman, J., and
Moorcroft, P.: Land cover change explains the increasing discharge of the
Paraná River, Reg. Environ. Change, 18, 1871–1881,
https://doi.org/10.1007/s10113-018-1321-y, 2018.
Leith, R. M. M. and Whitfield, P. H.: Evidence of climate change effects on
the hydrology of streams in South-central BC, Can. Water Resour.
J., 23, 219–230, https://doi.org/10.4296/cwrj2303219, 1998.
Likas, A., Vlassis, N., and Verbeek, J. J.: The global k-means clustering
algorithm, Pattern Recognition, 36, 451–461,
https://doi.org/10.1016/S0031-3203(02)00060-2, 2003.
Liljedahl, A. K., Boike, J., Daanen, R. P., Fedorov, A. N., Frost, G. V.,
Grosse, G., Hinzman, L. D., Iijma, Y., Jorgenson, J. C., Matveyeva, N.,
Necsoiu, M., Raynolds, M. K., Romanovsky, V. E., Schulla, J., Tape, K. D.,
Walker, D. A., Wilson, C. J., Yabuki, H., and Zona, D.: Pan-Arctic ice-wedge
degradation in warming permafrost and its influence on tundra hydrology,
Nat. Geosci., 9, 312–318, https://doi.org/10.1038/ngeo2674, 2016.
Lillesand, T., Kiefer, R. W., and Chipman, J.: Remote sensing and image
interpretation, John Wiley & Sons, Hoboken, NJ, 2014.
Luce, C. H.: Effects of climate change on snowpack, glaciers, and water
resources in the Northern Rockies, in: Climate Change and Rocky Mountain
Ecosystems, Springer, 25–36, 2018.
Luckman, B. T.: Mountain areas and global change: A view from the Canadian
Rockies, Mt. Res. Dev., 10, 183–195,
https://doi.org/10.2307/3673428, 1990.
Luckman, B. T.: Landscape and climate change in the central Canadian Rockies
during the 20th century, Can. Geogr., 42, 319–336,
https://doi.org/10.1111/j.1541-0064.1998.tb01349.x, 1998.
Luckman, B. T. and Kavanagh, T.: Impact of climate fluctuations on mountain
environments in the Canadian Rockies, Ambio, 29, 371–380,
https://doi.org/10.1579/0044-7447-29.7.371, 2000.
MacCulloch, G. and Whitfield, P. H.: Towards a stream classification system
for the Canadian Prairie Provinces, Can. Water Resour. J., 37,
311–332, https://doi.org/10.4296/cwrj2011-905, 2012.
Mansor, N. S., Ahmad, N., and Heryansyah, A.: Performance of Time-based and
Non-time-based Clustering in the Identification of River Discharge Patterns,
in: Improving Flood Management, Prediction and Monitoring: Case Studies in
Asia, Emerald Publishing Limited, 133–140, 2018.
Marshall, I. B., Schut, P., and Ballard, M.: A national ecological framework
for Canada: attribute data. Environmental Quality Branch, Ecosystems Science
Directorate, Environment Canada and Research Branch, Agriculture and
Agri-Food Canada, Ottawa, 1999.
McKenna, O. P., Mushet, D. M., Rosenberry, D. O., and LaBaugh, J. W.:
Evidence for a climate-induced ecohydrological state shift in wetland
ecosystems of the southern Prairie Pothole Region, Climatic Change, 145,
273–287, https://doi.org/10.1007/s10584-017-2097-7, 2017.
McLeod, A. I.: Kendall rank correlation and Mann-Kendall trend test Package
“Kendall”, available at: http://www.stats.uwo.ca/faculty/aim (last access: 6 May 2021), 12, 2015.
Mekis, E., Stewart, R. E., Theriault, J. M., Kochtubajda, B., Bonsal, B. R., and Liu, Z.: Near-0 ∘C surface temperature and precipitation type patterns across Canada, Hydrol. Earth Syst. Sci., 24, 1741–1761, https://doi.org/10.5194/hess-24-1741-2020, 2020.
Militino, A. F., Ugarte, M. D., and Pérez-Goya, U.: Detecting
change-points in the time series of surfaces occupied by pre-defined NDVI
categories in continental Spain from 1981 to 2015, in: The Mathematics of
the Uncertain, Springer International Publishing, Cham, 295–307, 2018.
Millett, B., Johnson, W. C., and Guntenspergen, G.: Climate trends of the
North American prairie pothole region 1906–2000, Climatic Change, 93,
243–267, https://doi.org/10.1007/s10584-008-9543-5, 2009.
Morey, L. C. and Agresti, A.: The measurement of classification agreement:
An adjustment to the Rand statistic for chance agreement, Educ.
Psychol. Meas., 44, 33–37, 1985.
Ouyang, R., Ren, L., Cheng, W., and Zhou, C.: Similarity search and pattern
discovery in hydrological time series data mining, Hydrol. Process.,
24, 1198–1210, 2010.
Patterson, L. A., Lutz, B., and Doyle, M. W.: Streamflow changes in the
South Atlantic, United States during the mid-and late 20th Century,
J. Am. Water Resour. As., 48, 1126–1138,
https://doi.org/10.1111/j.1752-1688.2012.00674.x, 2012.
Pekel, J.-F., Cottam, N., and Belward, A. S.: High-resolution mapping of
global surface water and its long-term changes, Nature, 540, 418–422,
https://doi.org/10.1038/nature20584, 2016.
Peterson, T. C., Taylor, M. A., Demeritte, R., Duncombe, D. L., Burton, S.,
Thompson, F., Porter, A., Mercedes, M., Villegas, E., Semexant Fils, R.,
Klein Tank, A., Martis, A., Warner, R., Joyette, A., Mills, W., Alexander,
L., and Gleason, B.: Recent changes in climate extremes in the Caribbean
region, J. Geophys. Res., 107, D214601,
https://doi.org/10.1029/2002JD002251, 2002.
Philipsen, L. J., Gill, K. M., Shepherd, A., and Rood, S. B.: Climate change
and hydrology at the prairie margin: Historic and prospective future flows
of Canada's Red Deer and other Rocky Mountain rivers, Hydrol. Process., 32, 2669–2684, https://doi.org/10.1002/hyp.13180, 2018.
Potter, C., Li, S., and Crabtree, R.: Changes in Alaskan tundra ecosystems
estimated from MODIS greenness trends, 2000 to 2010, J. Geophys.
Remote Sens., 2, 2169–0049, https://doi.org/10.4172/2169-0049.1000107,
2013.
Price, D. T., Alfaro, R. I., Brown, K. J., Flannigan, M. D., Fleming, R. A.,
Hogg, E. H., Girardin, M. P., Lakusta, T., Johnston, M., McKenney, D. W.,
Pedlar, J. H., Stratton, T., Sturrock, R. N., Thompson, I. D., Trofymow, J.
A., and Venier, L. A.: Anticipating the consequences of climate change for
Canada's boreal forest ecosystems, Environ. Rev., 21, 322–365,
https://doi.org/10.1139/er-2013-0042, 2013.
Quinton, W. L., Berg, A. A., Carpino, O., Connon, R. F., Craig, J. R., Devoie, E., and Johnson, E.: Toward understanding the trajectory of hydrological change in the southern Taiga Plains, northeastern British Columbia and southwestern Northwest Territories, Geoscience BC Summary of Activities 2017, 77–86, 2018.
R Development Core Team: R: A
language and environment for statistical computing, R Foundation for
Statistical Computing, Vienna, Austria, 2014.
Razavi, T. and Coulibaly, P.: Classification of Ontario watersheds based on
physical attributes and streamflow series, J. Hydrol., 493, 81–94,
https://doi.org/10.1016/j.jhydrol.2013.04.013, 2013.
Rodell, M., Famiglietti, J. S., Wiese, D. N., Reager, J. T., Beaudoing, H.
K., Landerer, F. W., and Lo, M.-H.: Emerging trends in global freshwater
availability, Nature, 557, 651–659, https://doi.org/10.1038/s41586-018-0123-1, 2018.
Rood, S. B. and Samuelson, G. M.: Twentieth century decline in streamflow
from Alberta's Rocky Mountains, in: The Science, Impacts and Monitoring of
Drought in Western Canada, edited by: Khandekar, M. L., Sauchyn, D. J., and
Garnett, E. R., 49–55, 2005.
Rood, S. B., Kaluthota, S., Philipsen, L. J., Rood, N. J., and Zanewich, K.
P.: Increasing discharge from the Mackenzie River system to the Arctic
Ocean, Hydrol. Process., 31, 150–160, https://doi.org/10.1002/hyp.10986, 2017.
Rosenberg, N. J.: Climate of the Great Plains region of The United States,
Great Plains Quart., 7, 22–32, 1987.
Ryberg, K. R., Akyüz, F. A., Wiche, G. J., and Lin, W.: Changes in
seasonality and timing of peak streamflow in snow and semi-arid climates of
the North-Central United States, 1910–2012, Hydrol. Process., 30,
1208–1218, https://doi.org/10.1002/hyp.10693, 2015.
Sarda-Espinosa, A.: Time series clustering along with optimizations for the
dynamic time warping distance. Package “dtwclust”,
available at: https://cran.r-project.org/web/packages/dtwclust/dtwclust.pdf (last access: 6 May 2021), 73, 2017.
Sarda-Espinosa, A.: Package “dtwclust”, available at:
https://cran.r-project.org/web/packages/dtwclust/dtwclust.pdf (last access: 6 May 2021),
2018.
Schnorbus, M., Werner, A. T., and Bennett, K. E.: Impacts of climate change
in three hydrologic regimes in British Columbia, Canada, Hydrol. Process., 28, 1170–1189, https://doi.org/10.1002/hyp.9661, 2014.
Seager, R., Lis, N., Feldman, J., Ting, M., Williams, A. P., Nakamura, J.,
Liu, H., and Henderson, N.: Whither the 100th Meridian? The once and future
physical and human geography of America's arid-humid divide: Part I: The
story so far, Earth Interact., 22, 1–22, https://doi.org/10.1175/EI-D-17-0011.1, 2018a.
Seager, R., Feldman, J., Lis, N., Ting, M., Williams, A. P., Nakamura, J.,
Liu, H., and Henderson, N.: Whither the 100th Meridian? The once and future
physical and human geography of America's arid-humid divide: Part II: The
meridian moves east, Earth Interact., 22, 1–24, https://doi.org/10.1175/EI-D-17-0012.1, 2018b.
Shook, K. R. and Pomeroy, J. W.: Changes in the hydrological character of
rainfall on the Canadian prairies, Hydrol. Process., 26, 1752–1766,
https://doi.org/10.1002/hyp.9383, 2012.
Soulard, C. E., Albano, C. M., Villarreal, M. L., and Walker, J. J.:
Continuous 1985–2012 Landsat monitoring to assess fire effects on meadows
in Yosemite National Park, California, Remote Sensing, 8, 371,
https://doi.org/10.3390/rs8050371, 2016.
St. Jacques, J.-M., and Sauchyn, D. J.: Increasing winter baseflow and mean
annual streamflow from possible permafrost thawing in the Northwest
Territories, Canada, Geophys. Res. Lett., 36, L101401,
https://doi.org/10.1029/2008GL035822, 2009.
Steinley, D.: K-means clustering: A half-century synthesis, British Journal
of Mathematical and Statistical Psychology, 59, 1–34,
https://doi.org/10.1348/000711005X48266, 2006.
Su, Z.: Remote sensing of land use and vegetation for mesoscale hydrological
studies, Int. J. Remote Sens., 21, 213–233,
https://doi.org/10.1080/014311600210803, 2000.
Tan, X. and Gan, T. Y.: Contribution of human and climate change impacts to
changes in streamflow of Canada, Nature Scientific Reports, 5, 17767,
https://doi.org/10.1038/srep17767, 2015.
Tan, X., Gan, T. Y., and Chen, Y. D.: Moisture sources and pathways
associated with the spatial variability of seasonal extreme precipitation
over Canada, Clim. Dynam., 50, 629–64, https://doi.org/10.1007/s00382-017-3630-0, 2018.
Thorne, R. and Woo, M.-K.: Streamflow response to climatic variability in a
complex mountainous environment: Fraser River Basin, British Columbia,
Canada, Hydrol. Process., 25, 3076–3085, https://doi.org/10.1002/hyp.8225, 2011.
USGS and NOAA: Landsat4 Data Users Handbook, Department of Interior, US Geological Survey and Department of Commerce, National Oceanic and Atmospheric Administration, 1–10, 1984.
van der Kamp, G., Keir, D., and Evans, M. S.: Long-term water level changes
in closed-basins of the Canadian Prairies, Can. Water Resour. J.,
33, 23–38, https://doi.org/10.4296/cwrj3301023, 2008.
van Hulle, M. M.: Self-organizing maps, in: Handbook of Natural Computing,
Springer, Berlin, Heidelberg, 585–622, 2012.
Verbesselt, J., Hyndman, R. J., Newnham, G., and Culvenor, D.: Detecting
trend and seasonal changes in satellite image time series, Remote Sens.
Environ., 114, 106–115, https://doi.org/10.1016/j.rse.2009.08.014, 2010.
Verbesselt, J., Zeileis, A., and Herold, M.: Near real-time disturbance
detection using satellite image time series, Remote Sens. Environ.,
123, 98–108, https://doi.org/10.1016/j.rse.2012.02.022, 2012.
Vincent, L. A., Zhang, X., Brown, R. D., Feng, Y., Mekis, E., Milewska, E.
J., Wan, H., and Wang, X. L.: Observed trends in Canada's climate and
influence of low-frequency variability modes, J. Climate, 28,
4545–4560, 2015.
Vincent, L., Zhang, X., Mekis, É., Wan, H., and Bush, E.: Changes in
Canada's climate: Trends in indices based on daily temperature and
precipitation data, Atmos.-Ocean, 56, 332–349, https://doi.org/10.1080/07055900.2018.1514579, 2018.
Wang, K. and Gasser, T.: Alignment of curves by dynamic time warping,
Ann. Stat., 25, 1251–1276, https://doi.org/10.1214/aos/1069362747, 1997.
Westmacott, J. R. and Burn, D. H.: Climate change effects on the hydrologic
regime within the Churchill-Nelson River Basin, J. Hydrol., 202,
263–279, https://doi.org/10.1016/S0022-1694(97)00073-5, 1997.
Whitfield, P. H.: Reporting scale and the information content of streamflow
data, Northwest Sci., 72, 42–51, 1998.
Whitfield, P. H. and Cannon, A. J.: Recent variations in climate and
hydrology in Canada, Can. Water Resour. J., 25, 19–65,
https://doi.org/10.4296/cwrj2501019, 2000.
Whitfield, P. H., Bodtker, K., and Cannon, A. J.: Recent variations in
seasonality of temperature and precipitation in Canada, 1976–95,
Int. J. Climatol., 22, 1617–1644, https://doi.org/10.1002/joc.813,
2002.
Whitfield, P. H., Hall, A. W., and Cannon, A. J.: Changes in the seasonal
cycle in the circumpolar Arctic, 1976–95: temperature and precipitation,
Arctic, 57, 80–93, https://doi.org/10.14430/arctic485, 2004.
Whitfield, P. H. and Pomeroy, J. W.: Changes to flood peaks of a mountain
river: implications for analysis of the 2013 flood in the Upper Bow River,
Canada, Hydrol. Process., 30, 4657–4673, https://doi.org/10.1002/hyp.10957, 2016.
Whitfield, P. H. and Pomeroy, J. W.: Assessing the quality of the
streamflow record for a long-term reference hydrometric station: Bow River
at Banff, Can. Water Resour. J., 42, 391–415, https://doi.org/10.1080/07011784.2017.1399086, 2017.
Whitfield, P. H., Shook, K. R., and Pomeroy, J. W.: Spatial patterns of
temporal changes in Canadian Prairie hydrology using an alternative trend
assessment approach, J. Hydrol., 582, 124541,
https://doi.org/10.1016/j.jhydrol.2020.124541, 2020.
Winter, T. C. and Rosenberry, D. O.: Hydrology of prairie pothole wetlands
during drought and deluge: a 17-year study of the Cottonwood Lake wetland
complex in North Dakota in the perspective of longer term measured and proxy
hydrological records, Climatic Change, 40, 189–209,
https://doi.org/10.1023/A:1005448416571, 1998.
Woo, M.-K. and Thorne, R.: Comment on “Detection of hydrologic trends and
variability” by Burn, D. H. and Hag Elnur, M. A., 2002. Journal of Hydrology
255, 107–122, J. Hydrol., 277, 150–160,
https://doi.org/10.1016/S0022-1694(03)00079-9, 2003.
Woo, M.-K., Marsh, P., and Pomeroy, J. W.: Snow, frozen soils and permafrost
hydrology in Canada, 1995-1998, Hydrol. Process., 14, 1591–1611, https://doi.org/10.1002/1099-1085(20000630)14:9<1591::AID-HYP78>3.0.CO;2-W, 2000.
Woo, M.-K., Thorne, R., Szeto, K., and Yang, D.: Streamflow hydrology in the
boreal region under the influences of climate and human interference,
Philos. T. R. Soc. B, 363,
2249–2258, https://doi.org/10.1098/rstb.2007.2197, 2008.
Zhang, X., Harvey, K. D., Hogg, W. D., and Yuzyk, T. R.: Trends in Canadian
streamflow, Water Resour. Res., 37, 987–998, https://doi.org/10.1029/2000WR900357,
2001.
Zhu, Z., Wang, S., and Woodcock, C. E.: Improvement and expansion of the
Fmask algorithm: Cloud, cloud shadow, and snow detection for Landsats 4–7,
8, and Sentinel 2 images, Remote Sens. Environ., 159, 269–277,
https://doi.org/10.1016/j.rse.2014.12.014, 2015.
Short summary
Using only warm season streamflow records, regime and change classifications were produced for ~ 400 watersheds in the Nelson and Mackenzie River basins, and trends in water storage and vegetation were detected from satellite imagery. Three areas show consistent changes: north of 60° (increased streamflow and basin greenness), in the western Boreal Plains (decreased streamflow and basin greenness), and across the Prairies (three different patterns of increased streamflow and basin wetness).
Using only warm season streamflow records, regime and change classifications were produced for...
