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<?xml version='1.0' encoding='UTF-8'?>
<collection id="G19">
<volume id="1">
<meta>
<booktitle>Groundwater, Volume 57, Issue 5</booktitle>
<publisher>Wiley</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Conventional Oil—The Forgotten Part of the Water‐Energy Nexus</title>
<author>
<first>Jennifer C.</first>
<last>McIntosh</last>
</author>
<author>
<first>Grant</first>
<last>Ferguson</last>
</author>
<abstract>The impacts of unconventional oil and gas production via high-volume hydraulic fracturing (HVHF) on water resources, such as water use, groundwater and surface water contamination, and disposal of produced waters, have received a great deal of attention over the past decade. Conventional oil and gas production (e.g., enhanced oil recovery [EOR]), which has been occurring for more than a century in some areas of North America, shares the same environmental concerns, but has received comparatively little attention. Here, we compare the amount of produced water versus saltwater disposal (SWD) and injection for EOR in several prolific hydrocarbon producing regions in the United States and Canada. The total volume of saline and fresh to brackish water injected into depleted oil fields and nonproductive formations is greater than the total volume of produced waters in most regions. The addition of fresh to brackish "makeup" water for EOR may account for the net gain of subsurface water. The total amount of water injected and produced for conventional oil and gas production is greater than that associated with HVHF and unconventional oil and gas production by well over a factor of 10. Reservoir pressure increases from EOR and SWD wells are low compared to injection of fluids for HVHF, however, the longer duration of injections could allow for greater solute transport distances and potential for contamination. Attention should be refocused from the subsurface environmental impacts of HVHF to the oil and gas industry as a whole.</abstract>
<url hash="b02e4b36">G19-1001</url>
<pages>669-677</pages>
<doi>10.1111/gwat.12917</doi>
<bibkey>McIntosh-2019-Conventional</bibkey>
<project>prj30</project>
</paper>
</volume>
<volume id="2">
<meta>
<booktitle>Environmental Science and Pollution Research, Volume 27, Issue 13</booktitle>
<publisher>Springer Science and Business Media LLC</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Incorporating social dimensions in hydrological and water quality modeling to evaluate the effectiveness of agricultural beneficial management practices in a Prairie River Basin</title>
<author>
<first>Lori</first>
<last>Bradford</last>
</author>
<author>
<first>Anuja</first>
<last>Thapa</last>
</author>
<author>
<first>Ashleigh</first>
<last>Duffy</last>
</author>
<author>
<first>Elmira</first>
<last>Hassanzadeh</last>
</author>
<author>
<first>Graham</first>
<last>Strickert</last>
</author>
<author>
<first>Bram</first>
<last>Noble</last>
</author>
<author>
<first>Karl‐Erich</first>
<last>Lindenschmidt</last>
</author>
<abstract>There is growing interest to develop processes for creating user-informed watershed scale models of hydrology and water quality and to assist in decision-making for balanced policies for managing watersheds. Watershed models can be enhanced with the incorporation of social dimensions of watershed management as brought forward by participants such as the perspectives, values, and norms of people that depend on the land, water, and ecosystems for sustenance, economies, and overall wellbeing. In this work, we explore the value of combining both qualitative and quantitative methods and social science data to enhance salience and legitimacy of watershed models so that end-users are more engaged. We discuss pilot testing and engagement workshops for building and testing a systems dynamics model of the Qu'Appelle Valley to gather insights from local farmers and understand their perceptions of Beneficial Management Practices (BMPs). Mixed-method workshops with agricultural producers in the Qu'Appelle Watershed gathered feedback on the developing model and the incorporation of social determinants affecting decision-making. Analysis of focus groups and factor analysis of Q-sorts were used to identify the desired components of the model, and whether it supported farmers' understanding of the potential effects of BMPs on water quality. We explored farmers' engagement with models testing BMPs and the potential of incorporating their decision processes within the model itself. Finally, we discuss the reception of the process and the practicality of the approach in providing legitimate and credible decision support tools for a community of farmers.</abstract>
<url hash="a29be4d8">G19-2001</url>
<pages>14271-14287</pages>
<doi>10.1007/s11356-019-06325-1</doi>
<bibkey>Bradford-2019-Incorporating</bibkey>
<project>prj7</project>
</paper>
</volume>
<volume id="3">
<meta>
<booktitle>Risk Analysis, Volume 39, Issue 11</booktitle>
<publisher>Wiley</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Risk Perception and Human Health Risk in Rural Communities Consuming Unregulated Well Water in Saskatchewan, Canada</title>
<author>
<first>Lorelei</first>
<last>Ford</last>
</author>
<author>
<first>Cheryl</first>
<last>Waldner</last>
</author>
<author>
<first>Javier</first>
<last>Sánchez</last>
</author>
<author>
<first>Lalita</first>
<last>Bharadwaj</last>
</author>
<abstract>Rural communities dependent on unregulated drinking water are potentially at increased health risk from exposure to contaminants. Perception of drinking water safety influences water consumption, exposure, and health risk. A community-based participatory approach and probabilistic Bayesian methods were applied to integrate risk perception in a holistic human health risk assessment. Tap water arsenic concentrations and risk perception data were collected from two Saskatchewan communities. Drinking water health standards were exceeded in 67% (51/76) of households in Rural Municipality #184 (RM184) and 56% (25/45) in Beardy's and Okemasis First Nation (BOFN). There was no association between the presence of a health exceedance and risk perception. Households in RM184 or with an annual income >$50,000 were most likely to have in-house water treatment. The probability of consuming tap water perceived as safe (92%) or not safe (0%) suggested that households in RM184 were unlikely to drink water perceived as not safe. The probability of drinking tap water perceived as safe (77%) or as not safe (11%) suggested households in BOFN contradicted their perception and consumed water perceived as unsafe. Integration of risk perception lowered the adult incremental lifetime cancer risk by 3% to 1.3 × 10-5 (95% CI 8.4 × 10-8 to 9.0 × 10-5 ) for RM184 and by 8.9 × 10-6 (95% CI 2.2 × 10-7 to 5.9 × 10-5 ) for BOFN. Probability of exposure to arsenic concentrations >1:100,000, negligible cancer risk, was 23% for RM184 and 22% for BOFN.</abstract>
<url hash="1a2783bd">G19-3001</url>
<pages>2559-2575</pages>
<doi>10.1111/risa.13335</doi>
<bibkey>Ford-2019-Risk</bibkey>
<project>prj7</project>
</paper>
</volume>
<volume id="4">
<meta>
<booktitle>Engaged Scholar Journal: Community-Engaged Research, Teaching, and Learning, Volume 5, Issue 2</booktitle>
<publisher>Engaged Scholar Journal</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>“Spirit, Safety, and a Stand-off ”: The Research-Creation Process and Its Roles in Relationality and Reconciliation among Researcher and Indigenous Co-Learners in Saskatchewan, Canada</title>
<author>
<first>Myron</first>
<last>Neapetung</last>
</author>
<author>
<first>Lori</first>
<last>Bradford</last>
</author>
<author>
<first>Lalita</first>
<last>Bharadwaj</last>
</author>
<abstract>Provision of safe water on reserves is an ongoing problem in Canada that can be addressed by mobilizing water knowledge across diverse platforms to a variety of audiences. A participatory artistic animation video on the lived experiences of Elderswith water in Yellow Quill First Nation, Treaty Four territory, was created to mobilize knowledge beyond conventional peer-review channels. Research findings from interviews with 22 Elders were translated through a collaborative process into a video with a storytelling format that harmonized narratives, visual arts, music, and meaningful symbols. Three themes emerged which centered on the spirituality of water, the survival need for water, and standoffs in water management. The translation process, engagement and video output were evaluated using an autoethnographic approach with two members of the research team. We demonstrate how the collaborative research process and co-created video enhance community-based participatory knowledge translation and sharing. We also express how the video augments First Nations community ownership, control, access and possession (OCAP) of research information that aligns with their storytelling traditions and does so in a youth-friendly, e-compatible form. Through the evaluative process we share lessons learned about the value and effectiveness of the video as a tool for fostering partnerships, and reconciliation. The benefits and positive impacts of the video for the Yellow Quill community and for community members are discussed.</abstract>
<url hash="87f0bb04">G19-4001</url>
<pages>37-60</pages>
<doi>10.15402/esj.v5i2.68334</doi>
<bibkey>Neapetung-2019-“Spirit,</bibkey>
<project>prj7</project>
</paper>
</volume>
<volume id="5">
<meta>
<booktitle>Water, Volume 11, Issue 5</booktitle>
<publisher>MDPI AG</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Reclaiming Indigenous Planning as a Pathway to Local Water Security</title>
<author>
<first>Robert</first>
<last>Patrick</last>
</author>
<author>
<first>Kellie</first>
<last>Grant</last>
</author>
<author>
<first>Lalita</first>
<last>Bharadwaj</last>
</author>
<abstract>Access to drinkable water is essential to human life. The consequence of unsafe drinking water can be damaging to communities and catastrophic to human health. Today, one in five First Nation communities in Canada is on a boil water advisory, with some advisories lasting over 10 years. Factors contributing to this problem stretch back to colonial structures and institutional arrangement that reproduce woefully inadequate community drinking water systems. Notwithstanding these challenges, First Nation communities remain diligent, adaptive, and innovative in their efforts to provide drinkable water to their community members. One example is through the practice of source water protection planning. Source water is untreated water from groundwater or surface water that supplies drinking water for human consumption. Source water protection is operationalized through land and water planning activities aimed at reducing the risk of contamination from entering a public drinking water supply. Here, we introduce a source water protection planning process at Muskowekwan First Nation, Treaty 4, Saskatchewan. The planning process followed a community-based participatory approach guided by trust, respect, and reciprocity between community members and university researchers. Community members identified threats to the drinking water source followed by restorative land management actions to reduce those threats. The result of this process produced much more than a planning document but engaged multiple community members in a process of empowerment and self-determination. The process of plan-making produced many unintended results including human–land connectivity, reconnection with the water spirit, as well as the reclaiming of indigenous planning. Source water protection planning may not correct all the current water system inadequacies that exist on many First Nations, but it will empower communities to take action to protect their drinking water sources for future generations as a pathway to local water security.</abstract>
<url hash="3f4cdc61">G19-5001</url>
<pages>936</pages>
<doi>10.3390/w11050936</doi>
<bibkey>Patrick-2019-Reclaiming</bibkey>
<project>prj7</project>
</paper>
</volume>
<volume id="6">
<meta>
<booktitle>Water, Volume 11, Issue 12</booktitle>
<publisher>MDPI AG</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>“Garbage in, Garbage Out” Does Not Hold True for Indigenous Community Flood Extent Modeling in the Prairie Pothole Region</title>
<author>
<first>Anuja</first>
<last>Thapa</last>
</author>
<author>
<first>Lori</first>
<last>Bradford</last>
</author>
<author>
<first>Graham</first>
<last>Strickert</last>
</author>
<author>
<first>Xiaolei</first>
<last>Yu</last>
</author>
<author>
<first>Anthony</first>
<last>Johnston</last>
</author>
<author>
<first>Kelsey</first>
<last>Watson-Daniels</last>
</author>
<abstract>Extensive land use changes and uncertainties arising from climate change in recent years have contributed to increased flood magnitudes in the Canadian Prairies and threatened the vulnerabilities of many small and indigenous communities. There is, thus, a need to create modernized flood risk management tools to support small and rural communities’ preparations for future extreme events. In this study, we developed spatial flood information for an indigenous community in Central Saskatchewan using LiDAR based DEM and a spatial modeling tool, the wetland DEM ponding model (WDPM). A crucial element of flood mapping in this study was community engagement in data collection, scenario description for WDPM, and flood map validation. Community feedback was also used to evaluate the utility of the modelled flood outputs. The results showed the accuracy of WDPM outputs could be improved not only with the quality of DEM but also with additional community-held information on contributing areas (watershed information). Based on community feedback, this accessible, spatially-focused modeling approach can provide relevant information for community spatial planning and developing risk management strategies. Our study found community engagement to be valuable in flood modeling and mapping by: providing necessary data, validating input data through lived experiences, and providing alternate scenarios to be used in future work. This research demonstrates the suitability and utility of LiDAR and WDPM complemented by community participation for improving flood mapping in the Prairie Pothole Region (PPR). The approach used in the study also serves as an important guide for applying transdisciplinary tools and methods for establishing good practice in research and helping build resilient communities in the Prairies.</abstract>
<url hash="2df9738f">G19-6001</url>
<pages>2486</pages>
<doi>10.3390/w11122486</doi>
<bibkey>Thapa-2019-“Garbage</bibkey>
<project>prj7</project>
</paper>
</volume>
<volume id="7">
<meta>
<booktitle>Groundwater, Volume 58, Issue 4</booktitle>
<publisher>Wiley</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Alpine Hydrogeology: The Critical Role of Groundwater in Sourcing the Headwaters of the World</title>
<author>
<first>Masaki</first>
<last>Hayashi</last>
</author>
<abstract>Groundwater discharge in alpine headwaters sustains baseflow in rivers originating in mountain ranges of the world, which is critically important for aquatic habitats, run-of-river hydropower generation, and downstream water supply. Groundwater storage in alpine watersheds was long considered negligible, but recent field-based studies have shown that aquifers are ubiquitous in the alpine zone with no soil and vegetation. Talus, moraine, and rock glacier aquifers are common in many alpine regions of the world, although bedrock aquifers occur in some geological settings. Alpine aquifers consisting of coarse sediments have a fast recession of discharge after the recharge season (e.g., snowmelt) or rainfall events, followed by a slow recession that sustains discharge over a long period. The two-phase recession is likely controlled by the internal structure of the aquifers. Spatial extent and distribution of individual aquifers determine the groundwater storage-discharge characteristics in first- and second-order watersheds in the alpine zone, which in turn govern baseflow characteristics in major rivers. Similar alpine landforms appear to have similar hydrogeological characteristics in many mountain ranges across the world, suggesting that a common conceptual framework can be used to understand alpine aquifers based on geological and geomorphological settings. Such a framework will be useful for parameterizing storage-discharge characteristics in large river hydrological models.</abstract>
<url hash="954514ea">G19-7001</url>
<pages>498-510</pages>
<doi>10.1111/gwat.12965</doi>
<bibkey>Hayashi-2019-Alpine</bibkey>
<project>prj27</project>
</paper>
</volume>
<volume id="8">
<meta>
<booktitle>River Research and Applications, Volume 36, Issue 1</booktitle>
<publisher>Wiley</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Biomic river restoration: A new focus for river management</title>
<author>
<first>Matthew F.</first>
<last>Johnson</last>
</author>
<author>
<first>Colin R.</first>
<last>Thorne</last>
</author>
<author>
<first>Janine M.</first>
<last>Castro</last>
</author>
<author>
<first>G. Mathias</first>
<last>Kondolf</last>
</author>
<author>
<first>Celeste Searles</first>
<last>Mazzacano</last>
</author>
<author>
<first>Stewart B.</first>
<last>Rood</last>
</author>
<author>
<first>Cherie J.</first>
<last>Westbrook</last>
</author>
<abstract>River management based solely on physical science has proven to be unsustainable and unsuccessful, evidenced by the fact that the problems this approach intended to solve (e.g., flood hazards, water scarcity, and channel instability) have not been solved and long‐term deterioration in river environments has reduced the capacity of rivers to continue meeting the needs of society. In response, there has been a paradigm shift in management over the past few decades, towards river restoration. But the ecological, morphological, and societal benefits of river restoration have, on the whole, been disappointing. We believe that this stems from the fact that restoration overrelies on the same physical analyses and approaches, with flowing water still regarded as the universally predominant driver of channel form and structural intervention seen as essential to influencing fluvial processes. We argue that if river restoration is to reverse long‐standing declines in river functions, it is necessary to recognize the influence of biology on river forms and processes and re‐envisage what it means to restore a river. This entails shifting the focus of river restoration from designing and constructing stable channels that mimic natural forms to reconnecting streams within balanced and healthy biomes, and so levering the power of biology to influence river processes. We define this new approach as biomic river restoration.</abstract>
<url hash="cd2604bc">G19-8001</url>
<pages>3-12</pages>
<doi>10.1002/rra.3529</doi>
<bibkey>Johnson-2019-Biomic</bibkey>
<project>prj27</project>
</paper>
</volume>
<volume id="9">
<meta>
<booktitle> </booktitle>
<publisher>Copernicus GmbH</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Spatially-distributed tracer-aided runoff modelling and dynamics of
storage and water ages in a permafrost-influenced catchment</title>
<author>
<first>Thea Ilaria</first>
<last>Piovano</last>
</author>
<author>
<first>Doerthe</first>
<last>Tetzlaff</last>
</author>
<author>
<first>Sean K.</first>
<last>Carey</last>
</author>
<author>
<first>Nadine J.</first>
<last>Shatilla</last>
</author>
<author>
<first>Aaron</first>
<last>Smith</last>
</author>
<author>
<first>Chris</first>
<last>Soulsby</last>
</author>
<abstract>Abstract. Permafrost strongly controls hydrological processes in cold regions, and our understanding of how changes in seasonal and perennial frozen ground disposition and linked storage dynamics affects runoff generation processes remains limited. Storage dynamics and water redistribution are influenced by the seasonal variability and spatial heterogeneity of frozen ground, snow accumulation and melt. Stable isotopes provide a potentially useful technique to quantify the dynamics of water sources, flow paths and ages; yet few studies have employed isotope data in permafrost-influenced catchments. Here, we applied the conceptual model STARR (Spatially distributed Tracer-Aided Rainfall-Runoff model), which facilitates fully distributed simulations of hydrological storage dynamics and runoff processes, isotopic composition and water ages. We adapted this model to a subarctic catchment in Yukon Territory, Canada, with a time-variable implementation of field capacity to include the influence of thaw dynamics. A multi-criteria calibration based on stream flow, snow water equivalent and isotopes was applied to three years of data. The integration of isotope data in the spatially distributed model provided the basis to quantify spatio-temporal dynamics of water storage and ages, emphasizing the importance of thaw layer dynamics in mixing and damping the melt signal. By using the model conceptualisation of spatially and temporally variant storage, this study demonstrates the ability of tracer-aided modelling to capture thaw layer dynamics that cause mixing and damping of the isotopic melt signal.</abstract>
<url hash="759a63d9">G19-9001</url>
<doi>10.5194/hess-2019-59</doi>
<bibkey>Piovano-2019-Spatially-distributed</bibkey>
<project>prj27</project>
</paper>
<paper id="2">
<title>Wildland fire impacts on water yield across the contiguous United States</title>
<author>
<first>Dennis W.</first>
<last>Hallema</last>
</author>
<author>
<first>Ge</first>
<last>Sun</last>
</author>
<author>
<first>Peter</first>
<last>Caldwell</last>
</author>
<author>
<first>François‐Nicolas</first>
<last>Robinne</last>
</author>
<author>
<first>Kevin D.</first>
<last>Bladon</last>
</author>
<author>
<first>Steven P.</first>
<last>Norman</last>
</author>
<author>
<first>Yongqiang</first>
<last>Liu</last>
</author>
<author>
<first>Erika</first>
<last>Cohen</last>
</author>
<author>
<first>Steven G.</first>
<last>McNulty</last>
</author>
<abstract>Wildland fires in the contiguous United States (CONUS) have increased in size and severity, but much remains unclear about the impact of fire size and burn severity on water supplies used for drinking, irrigation, industry, and hydropower. While some have investigated large-scale fire patterns, long-term effects on runoff, and the simultaneous effect of fire and climate trends on surface water yield, no studies account for all these factors and their interactions at the same time. In this report, we present critical new information for the National Cohesive Wildland Fire Management Strategy—a first-time CONUS-wide assessment of observed and potential wildland fire impacts on surface water yield. First, we analyzed data from 168 fire-affected locations, collected between 1984 and 2013, with machine learning and used climate elasticity models to correct for the local climate baseline impact. Stream gage data show that annual river flow increased most in the Lower Mississippi and Lower and Upper Colorado water resource regions, however they do not show which portion of this increase is caused by fire and which portion results from local climate trends. Our machine learning model identified local climate trends as the main driver of water yield change and determined wildland fires must affect at least 19 percent of a watershed >10 km2 to change its annual water yield. A closer look at 32 locations with fires covering at least 19 percent of a watershed >10 km2 revealed that wildfire generally enhanced annual river flow. Fires increased river flow relatively the most in the Lower Colorado, Pacific Northwest, and California regions. In the Lower Colorado and Pacific Northwest regions, flow increased despite post-fire drought conditions. In southern California, post-fire drought effects masked the flow enhancement attributed to wildfire, meaning that annual water yield declined but not as much as expected based on the decline in precipitation. Prescribed burns in the Southeastern United States did not produce a widespread effect on river flow, because the area affected was typically too small and characterized by only low burn severity. In the second stage of the assessment, we performed full-coverage simulations of the CONUS with the Water Supply Stress Index (WaSSI) hydrologic model (88,000 HUC-12-level watersheds) for the period between 2001 and 2010. This enables us to fill in the gaps of areas with scarce data and to identify regions with large potential increases in post-fire annual water yield (+10 to +50 percent): midto high-elevation forests in northeastern Washington, northwestern Montana, central Minnesota, southern Utah, Colorado, and South Dakota, and coastal forests in Georgia and northern Florida. A hypothetical 20-percent forest burn impact scenario for the CONUS suggests that surface yield can increase up to +10 percent in most watersheds, and even more in some watersheds depending on climate, soils, and vegetation. The insights gained from this quantitative analysis have major implications for flood mitigation and watershed restoration, and are vital to forest management policies aimed at reducing fire impact risk and improving water supply under a changing climate.</abstract>
<url hash="ec933263">G19-9002</url>
<doi>10.2737/srs-gtr-238</doi>
<bibkey>Hallema-2019-Wildland</bibkey>
<project>prj31</project>
</paper>
<paper id="3">
<title>Successful forecasting of harmful cyanobacteria blooms with high frequency lake data</title>
<author>
<first>Michael</first>
<last>Kehoe</last>
</author>
<author>
<first>Brian</first>
<last>Ingalls</last>
</author>
<author>
<first>Jason J.</first>
<last>Venkiteswaran</last>
</author>
<author>
<first>Helen M.</first>
<last>Baulch</last>
</author>
<abstract>Abstract Cyanobacterial blooms are causing increasing issues across the globe. Bloom forecasting can facilitate adaptation to blooms. Most bloom forecasting models depend on weekly or fortnightly sampling, but these sparse measurements can miss important dynamics. Here we develop forecasting models from five years of high frequency summer monitoring in a shallow lake (which serves as an important regional water supply). A suite of models were calibrated to predict cyanobacterial fluorescence (a biomass proxy) using measurements of: cyanobacterial fluorescence, water temperature, light, and wind speed. High temporal autocorrelation contributed to relatively strong predictive power over 1, 4 and 7 day intervals. Higher order derivatives of water temperature helped improve forecasting accuracy. While traditional monitoring and modelling have supported forecasting on longer timescales, we show high frequency monitoring combined with telemetry allows forecasting over timescales of 1 day to 1 week, supporting early warning, enhanced monitoring, and adaptation of water treatment processes.</abstract>
<url hash="9b9402f5">G19-9003</url>
<doi>10.1101/674325</doi>
<bibkey>Kehoe-2019-Successful</bibkey>
<project>prj16</project>
</paper>
<paper id="4">
<title>Extreme rainfall drives early onset cyanobacterial bloom</title>
<author>
<first>Megan L.</first>
<last>Larsen</last>
</author>
<author>
<first>Helen M.</first>
<last>Baulch</last>
</author>
<author>
<first>Sherry L.</first>
<last>Schiff</last>
</author>
<author>
<first>Dana F.</first>
<last>Simon</last>
</author>
<author>
<first>Sébastien</first>
<last>Sauvé</last>
</author>
<author>
<first>Jason J.</first>
<last>Venkiteswaran</last>
</author>
<abstract>Abstract The increasing prevalence of cyanobacteria-dominated harmful algal blooms is strongly associated with nutrient loading and changing climatic patterns. Changes to precipitation frequency and intensity, as predicted by current climate models, are likely to affect bloom development and composition through changes in nutrient fluxes and water column mixing. However, few studies have directly documented the effects of extreme precipitation events on cyanobacterial composition, biomass, and toxin production. We tracked changes in a eutrophic reservoir following an extreme precipitation event, describing an atypically early toxin-producing cyanobacterial bloom, successional progression of the phytoplankton community, toxins, and geochemistry. An increase in bioavailable phosphorus by more than 27-fold in surface waters preceded notable increases in Aphanizomenon flos-aquae throughout the reservoir approximately 2 weeks post flood and ~5 weeks before blooms typically occur. Anabaenopeptin-A and three microcystin congeners (microcystin-LR, -YR, and -RR) were detected at varying levels across sites during the bloom period, which lasted between 3 and 5 weeks. Synthesis and applications: These findings suggest extreme rainfall can trigger early cyanobacterial bloom initiation, effectively elongating the bloom season period of potential toxicity. However, effects will vary depending on factors including the timing of rainfall and reservoir physical structure. In contrast to the effects of early season extreme rainfall, a mid-summer runoff event appeared to help mitigate the bloom in some areas of the reservoir by increasing flushing.</abstract>
<url hash="05f09756">G19-9004</url>
<doi>10.1101/570275</doi>
<bibkey>Larsen-2019-Extreme</bibkey>
<project>prj16</project>
</paper>
<paper id="5">
<title>High-Resolution Regional Climate Modeling and Projection over Western Canada using a Weather Research Forecasting Model with a Pseudo-Global Warming Approach</title>
<author>
<first>Yanping</first>
<last>Li</last>
</author>
<author>
<first>Zhenhua</first>
<last>Li</last>
</author>
<author>
<first>Zhe</first>
<last>Zhang</last>
</author>
<author>
<first>Liang</first>
<last>Chen</last>
</author>
<author>
<first>Sopan</first>
<last>Kurkute</last>
</author>
<author>
<first>Lucía</first>
<last>Scaff</last>
</author>
<author>
<first>Xicai</first>
<last>Pan</last>
</author>
<abstract>Abstract. To assess the hydroclimatic risks posed by climate change in western Canada, this study conducted a retrospective simulation (CTL) and a pseudo-global warming (PGW) dynamical downscaling of future warming projection under RCP8.5 from an ensemble of CMIP5 climate model projections using a convection-permitting 4-km Weather Research Forecasting (WRF) model. The convection-permitting resolution of the model avoids the error-prone convection parameterization by explicitly resolving cumulus plumes. The evaluation of surface air temperature by the retrospective simulation WRF-CTL against a gridded observation ANUSPLIN shows that WRF simulation of daily mean temperature agrees well with ANUSPLIN temperature in terms of the geographical distribution of cold biases east of the Canadian Rockies, especially in spring. Compared with the observed precipitation from ANUSPLIN and CaPA, the WRF-CTL simulation captures the main pattern of distribution, but with a wet bias seen in higher precipitation near the British Columbia coast in winter and over the immediate region on the lee side of the Canadian Rockies. The PGW simulation shows more warming than CTL, especially over the polar region in the northeast, during the cold season, and in daily minimum temperature. Precipitation changes in PGW over CTL vary with the seasons: In spring and late fall for both basins, precipitation is shown to increase, whereas in summer in the Saskatchewan River Basin, it either shows no increase or decreases, with less summer precipitation shown in PGW than in CTL for some parts of the Prairies. This seasonal difference in precipitation change suggests that in summer the Canadian Prairies and the southern Boreal Forest biomes will likely see a slight decline in precipitation minus evapotranspiration, which might impact soil moisture for farming and forest fires. With almost no increase in summer precipitation and much more evapotranspiration in PGW than in CTL, the water availability during the growing season will be challenging for the Canadian Prairies. WRF-PGW shows an increase of high-intensity precipitation events and shifts the distribution of precipitation events toward more extremely intensive events in all seasons, as current moderate events become extreme events with more vapor loading, especially in summer. Due to this shift in precipitation intensity to the higher end in the PGW simulation, the seemingly moderate increase in the total amount of precipitation in summer for both the Mackenzie and Saskatchewan river basins may not reflect the real change in flooding risk and water availability for agriculture. The high-resolution downscaled climate simulations provide abundant opportunities both for investigating local-scale atmospheric dynamics and for studying climate impacts in hydrology, agriculture, and ecosystems. The change in the probability distribution of precipitation intensity also calls for innovative bias-correction methods to be developed for the application of the dataset when bias-correction is required.</abstract>
<url hash="72f7a7c0">G19-9005</url>
<doi>10.5194/hess-2019-201</doi>
<bibkey>Li-2019-High-Resolution</bibkey>
<project>prj5</project>
</paper>
<paper id="6">
<title>Are the effects of vegetation and soil changes as important as climate
change impacts on hydrological processes?</title>
<author>
<first>Kabir</first>
<last>Rasouli</last>
</author>
<author>
<first>John W.</first>
<last>Pomeroy</last>
</author>
<author>
<first>Paul H.</first>
<last>Whitfield</last>
</author>
<abstract>Abstract. Hydrological processes are widely understood to be sensitive to changes in climate, but the effects of changes in vegetation and soils have seldom been considered. The response of mountain hydrology to future climate and vegetation/soil changes is modelled in three snowmelt dominated mountain basins in the North American Cordillera. A Cold Regions Hydrological Model developed for each basin was driven with perturbed observed meteorological time series. Monthly perturbations were developed from differences in eleven regional climate model outputs between the present and future scenarios. Future climate change in these basins results in decreased modelled peak snow water equivalent (SWE) but increased evapotranspiration in all basins. All three watersheds became more rainfall-dominated. In Wolf Creek in the Yukon Territory, an insignificant increasing effect of vegetation change on peak SWE was found to be important enough to offset the significant climate change effect on alpine snow. In Marmot Creek in the Canadian Rockies, a combined effect of soil and climate changes on increasing annual runoff becomes significant while their individual effects are not statistically significant. In the relatively warmer Reynolds Mountain East catchment in Idaho, USA, only vegetation change decreases annual runoff volume and changes in soil, climate, or combination of them do not affect runoff. At high elevations in Wolf and Marmot Creeks, modelled vegetation/soil changes moderated the impact of climate change on peak SWE, the timing of peak SWE, evapotranspiration, and annual runoff volume. At medium elevations, these changes intensified the impact of climate change, decreasing peak SWE, and sublimation. The modelled hydrological impacts of changes in climate, vegetation, and soil in mountain environments are similar in magnitude but not consistently in the direction in all biomes; in some combinations, this results in enhanced impacts at lower elevations and latitudes and offsetting effects at higher elevations and latitudes.</abstract>
<url hash="ebfef67a">G19-9006</url>
<doi>10.5194/hess-2019-214</doi>
<bibkey>Rasouli-2019-Are</bibkey>
<project>prj9</project>
</paper>
<paper id="7">
<title>Hydrologic-Land Surface Modelling of a Complex System under Precipitation
Uncertainty: A Case Study of the Saskatchewan River Basin, Canada</title>
<author>
<first>Fuad</first>
<last>Yassin</last>
</author>
<author>
<first>Saman</first>
<last>Razavi</last>
</author>
<author>
<first>Jefferson S.</first>
<last>Wong</last>
</author>
<author>
<first>Alain</first>
<last>Pietroniro</last>
</author>
<author>
<first>H. S.</first>
<last>Wheater</last>
</author>
<abstract>Abstract. Hydrologic-Land Surface Models (H-LSMs) have been progressively developed to a stage where they represent the dominant hydrological processes for a variety of hydrological regimes and include a range of water management practices, and are increasingly used to simulate water storages and fluxes of large basins under changing environmental conditions across the globe. However, efforts for comprehensive evaluation of the utility of H-LSMs in large, regulated watersheds have been limited. In this study, we evaluated the capability of a Canadian H-LSM, called MESH, in the highly regulated Saskatchewan River Basin (SaskRB), Canada, under the constraint of significant precipitation uncertainty. The SaskRB is a complex system characterized by hydrologically-distinct regions that include the Rocky Mountains, Boreal Forest, and the Prairies. This basin is highly vulnerable to potential climate change and extreme events. A comprehensive analysis of the MESH model performance was carried out in two steps. First, the reliability of multiple precipitation products was evaluated against climate station observations and based on their performance in simulating streamflow across the basin when forcing the MESH model with a default parameterization. Second, a state-of-the-art multi-criteria calibration approach was applied, using various observational information including streamflow, storage and fluxes for calibration and validation. The first analysis shows that the quality of precipitation products had a direct and immediate impact on simulation performance for the basin headwaters but effects were dampened when going downstream. In particular, the Canadian Precipitation Analysis (CaPA) performed the best among the precipitation products in capturing timings and minimizing the magnitude of error against observation, despite a general underestimation of precipitation amount. The subsequent analyses show that the MESH model was able to capture observed responses of multiple fluxes and storage across the basin using a global multi-station calibration method. Despite poorer performance in some basins, the global parameterization generally achieved better model performance than a default model parameterization. Validation using storage anomaly and evapotranspiration generally showed strong correlation with observations, but revealed potential deficiencies in the simulation of storage anomaly over open water areas.</abstract>
<url hash="9cf9c6ec">G19-9007</url>
<doi>10.5194/hess-2019-207</doi>
<bibkey>Yassin-2019-Hydrologic-Land</bibkey>
<project>prj20</project>
</paper>
<paper id="8">
<title>Assessing inter-annual and seasonal patterns of DOC and DOM quality across a complex alpine watershed underlain by discontinuous permafrost in Yukon, Canada</title>
<author>
<first>Nadine J.</first>
<last>Shatilla</last>
</author>
<author>
<first>Sean K.</first>
<last>Carey</last>
</author>
<abstract>Abstract. High latitude environments store approximately half of the global organic carbon pool in peatlands, organic soils and permafrost while large arctic rivers convey an estimated 18–50 Tg C a−1 to the Arctic Ocean. Warming trends associated with climate change affect dissolved organic carbon (DOC) export from terrestrial to riverine environments. However, there is limited consensus as to whether exports will increase or decrease due to complex interactions between climate, soils, vegetation, and associated production, mobilization and transport processes. A large body of research has focused on large river system DOC and DOM lability and observed trends conserved across years, whereas investigation at smaller watershed scales show that thermokarst and fire have a transient impact on hydrologically-mediated solute transport. This study, located in the Wolf Creek Research Basin situated ~ 20 km south of Whitehorse, YT, Canada, utilises a nested design to assess seasonal and annual patterns of DOC and DOM composition across diverse landscape types (headwater, wetland, lake) and watershed scales. Peak DOC concentration and export occurred during freshet per most northern watersheds, however, peaks were lower than a decade ago at the headwater site Granger Creek. DOM composition was most variable during freshet with high A254, SUVA254 and low FI and BIX. DOM composition was relatively insensitive to flow variation during summer and fall. The influence of increasing watershed scale and downstream mixing of landscape contributions was an overall dampening of DOC concentrations and optical indices with increasing groundwater contribution. Forecasted vegetation shifts, permafrost thaw and other changes due to climate change may alter DOM sources from predominantly organic soils to decomposing vegetation, and facilitate transport through deeper flow pathways with an enhanced groundwater role.</abstract>
<url hash="0c46db7d">G19-9008</url>
<doi>10.5194/hess-2019-81</doi>
<bibkey>Shatilla-2019-Assessing</bibkey>
<project>prj27</project>
</paper>
<paper id="9">
<title>What do we do with model simulation crashes? Recommendations for global sensitivity analysis of earth and environmental systems models</title>
<author>
<first>Razi</first>
<last>Sheikholeslami</last>
</author>
<author>
<first>Saman</first>
<last>Razavi</last>
</author>
<author>
<first>Amin</first>
<last>Haghnegahdar</last>
</author>
<abstract>Abstract. Complex, software-intensive, technically advanced, and computationally demanding models, presumably with ever-growing realism and fidelity, have been widely used to simulate and predict the dynamics of the Earth and environmental systems. The parameter-induced simulation crash (failure) problem is typical across most of these models, despite considerable efforts that modellers have directed at model development and implementation over the last few decades. A simulation failure mainly occurs due to the violation of the numerical stability conditions, non-robust numerical implementations, or errors in programming. However, the existing sampling-based analysis techniques such as global sensitivity analysis (GSA) methods, which require running these models under many configurations of parameter values, are ill-equipped to effectively deal with model failures. To tackle this problem, we propose a novel approach that allows users to cope with failed designs (samples) during the GSA, without knowing where they took place and without re-running the entire experiment. This approach deems model crashes as missing data and uses strategies such as median substitution, single nearest neighbour, or response surface modelling to fill in for model crashes. We test the proposed approach on a 10-paramter HBV-SASK rainfall-runoff model and a 111-parameter MESH land surface-hydrology model. Our results show that response surface modelling is a superior strategy, out of the data filling strategies tested, and can scale well to the dimensionality of the model, sample size, and the ratio of number of failures to the sample size. Further, we conduct a "failure analysis" and discuss some possible causes of the MESH model failure.</abstract>
<url hash="7b41ebeb">G19-9009</url>
<doi>10.5194/gmd-2019-17</doi>
<bibkey>Sheikholeslami-2019-What</bibkey>
<project>prj20</project>
</paper>
<paper id="10">
<title>A Review and Synthesis of Future Earth System Change in the
Interior of Western Canada: Part I – Climate and Meteorology</title>
<author>
<first>Ronald E.</first>
<last>Stewart</last>
</author>
<author>
<first>Kit K.</first>
<last>Szeto</last>
</author>
<author>
<first>Barrie</first>
<last>Bonsal</last>
</author>
<author>
<first>John</first>
<last>Hanesiak</last>
</author>
<author>
<first>Bohdan</first>
<last>Kochtubajda</last>
</author>
<author>
<first>Yanping</first>
<last>Li</last>
</author>
<author>
<first>Julie M.</first>
<last>Thériault</last>
</author>
<author>
<first>C. M.</first>
<last>DeBeer</last>
</author>
<author>
<first>Benita Y.</first>
<last>Tam</last>
</author>
<author>
<first>Zhenhua</first>
<last>Li</last>
</author>
<author>
<first>Zhuo</first>
<last>Liu</last>
</author>
<author>
<first>Jennifer</first>
<last>Bruneau</last>
</author>
<author>
<first>Sébastien</first>
<last>Marinier</last>
</author>
<author>
<first>Dominic</first>
<last>Matte</last>
</author>
<abstract>Abstract. The Interior of Western Canada, up to and including the Arctic, has experienced rapid change in its climate, hydrology, cryosphere and ecosystems and this is expected to continue. Although there is general consensus that warming will occur in the future, many critical issues remain. In this first of two articles, attention is placed on atmospheric-related issues that range from large scales down to individual precipitation events. Each of these is considered in terms of expected change organized by season and utilizing climate scenario information as well as thermodynamically-driven future climatic forcing simulations. Large scale atmospheric circulations affecting this region are generally projected to become stronger in each season and, coupled with warming temperatures, lead to enhancements of numerous water-related and temperature-related extremes. These include winter snowstorms, freezing rain, drought as well as atmospheric forcing of spring floods although not necessarily summer convection. Collective insights of these atmospheric findings are summarized in a consistent, connected physical framework.</abstract>
<url hash="1b86620e">G19-9010</url>
<doi>10.5194/hess-2019-51</doi>
<bibkey>Stewart-2019-A</bibkey>
<project>prj5</project>
</paper>
<paper id="11">
<title>Soil Bacterial and Fungal Response to Wildfires in the Canadian Boreal Forest Across a Burn Severity Gradient</title>
<author>
<first>Thea</first>
<last>Whitman</last>
</author>
<author>
<first>Ellen</first>
<last>Whitman</last>
</author>
<author>
<first>Jamie</first>
<last>Woolet</last>
</author>
<author>
<first>Mike</first>
<last>Flannigan</last>
</author>
<author>
<first>Dan K.</first>
<last>Thompson</last>
</author>
<author>
<first>Marc‐André</first>
<last>Parisien</last>
</author>
<abstract>Global fire regimes are changing, with increases in wildfire frequency and severity expected for many North American forests over the next 100 years. Fires can result in dramatic changes to C stocks and can restructure plant and microbial communities, which can have long-lasting effects on ecosystem functions. We investigated wildfire effects on soil microbial communities (bacteria and fungi) in an extreme fire season in the northwestern Canadian boreal forest, using field surveys, remote sensing, and high-throughput amplicon sequencing. We found that fire occurrence, along with vegetation community, moisture regime, pH, total carbon, and soil texture are all significant predictors of soil microbial community composition. Communities become increasingly dissimilar with increasingly severe burns, and the burn severity index (an index of the fractional area of consumed organic soils and exposed mineral soils) best predicted total bacterial community composition, while burned/unburned was the best predictor for fungi. Globally abundant taxa were identified as significant positive fire responders, including the bacteria Massilia sp. (64x more abundant with fire) and Arthrobacter sp. (35x), and the fungi Penicillium sp. (22x) and Fusicladium sp. (12x) Bacterial and fungal co-occurrence network modules were characterized by fire responsiveness as well as pH and moisture regime. Building on the efforts of previous studies, our results identify specific fire-responsive microbial taxa and suggest that accounting for burn severity improves our understanding of their response to fires, with potentially important implications for ecosystem functions.</abstract>
<url hash="6c815298">G19-9011</url>
<doi>10.1101/512798</doi>
<bibkey>Whitman-2019-Soil</bibkey>
<project>prj4</project>
</paper>
<paper id="12">
<title>Watershed classification for the Canadian prairie</title>
<author>
<first>Jared D.</first>
<last>Wolfe</last>
</author>
<author>
<first>Kevin</first>
<last>Shook</last>
</author>
<author>
<first>Chris</first>
<last>Spence</last>
</author>
<author>
<first>Colin J.</first>
<last>Whitfield</last>
</author>
<abstract>Abstract. Classification and clustering approaches provide a means to group watersheds according to similar attributes, functions, or behaviours, and can aid in managing natural resources within these regions. While widely used, approaches based on hydrological response parameters restrict analyses to regions where well-developed hydrological records exist, and overlook factors contributing to other management concerns, including biogeochemistry and ecology. In the Canadian Prairie, hydrometric gauging is sparse and often seasonal, large areas are endorheic and the landscape is highly modified by human activity, complicating classification based solely on hydrological parameters. We compiled climate, geological, topographical, and land cover data from the Prairie and conducted a classification of watersheds using a hierarchical clustering of principal components. Seven classes were identified based on the clustering of watersheds, including those distinguishing southern Manitoba, the pothole region, river valleys, and grasslands. Important defining variables were climate, elevation, surficial geology, wetland distribution, and land cover. In particular, three classes occur almost exclusively within regions that tend not to contribute to major river systems, and collectively encompass the majority of the study area. The gross difference in key characteristics across the classes suggests that future water management and climate change may carry with them heterogeneous sets of implications for water security across the Prairies. This emphasizes the importance of developing management strategies that target sub-regions expected to behave coherently as current human-induced changes to the landscape will affect how watersheds react to change. This study provides the first classification of watersheds within the Prairie based on climatic and biophysical attributes, and our findings provide a foundation for addressing questions related to hydrological, biogeochemical, and ecological behaviours at a regional level.</abstract>
<url hash="f5880322">G19-9012</url>
<doi>10.5194/hess-2018-625</doi>
<bibkey>Wolfe-2019-Watershed</bibkey>
<project>prj33</project>
</paper>
<paper id="13">
<title>Representation of Water Management in Hydrological and Land
Surface Models</title>
<author>
<first>Fuad</first>
<last>Yassin</last>
</author>
<author>
<first>Saman</first>
<last>Razavi</last>
</author>
<author>
<first>Mohamed</first>
<last>Elshamy</last>
</author>
<author>
<first>Bruce</first>
<last>Davison</last>
</author>
<author>
<first>Gonzalo</first>
<last>Sapriza‐Azuri</last>
</author>
<author>
<first>H. S.</first>
<last>Wheater</last>
</author>
<abstract>Abstract. Reservoirs significantly affect flow regimes in watershed systems by changing the magnitude and timing of streamflows. Failure to represent these effects limits the performance of hydrological and land surface models (H-LSMs) in the many highly regulated basins across the globe and limits the applicability of such models to investigate the futures of watershed systems through scenario analysis (e.g., scenarios of climate, land use, or reservoir regulation changes). An adequate representation of reservoirs and their operation in an H-LSM is therefore essential for a realistic representation of the downstream flow regime. In this paper, we present a general parametric reservoir operation model based on piecewise linear relationships between reservoir storage, inflow, and release, to approximate actual reservoir operations. For the identification of the model parameters, we propose two strategies: (a) a generalized parameterization that requires a relatively limited amount of data; and (b) direct calibration via multi-objective optimization when more data on historical storage and release are available. We use data from 37 reservoir case studies located in several regions across the globe for developing and testing the model. We further build this reservoir operation model into the MESH modelling system, which is a large-scale H-LSM. Our results across the case studies show that the proposed reservoir model with both of the parameter identification strategies leads to improved simulation accuracy compared with the other widely used approaches for reservoir operation simulation. We further show the significance of enabling MESH with this reservoir model and discuss the interdependent effects of the simulation accuracy of natural processes and that of reservoir operation on the overall model performance. The reservoir operation model is generic and can be integrated into any H-LSM.</abstract>
<url hash="828f33b4">G19-9013</url>
<doi>10.5194/hess-2019-7</doi>
<bibkey>Yassin-2019-Representation</bibkey>
<project>prj20</project>
</paper>
<paper id="14">
<title>Assessment of Near 0 °C Temperature and Precipitation Characteristics
across Canada</title>
<author>
<first>Éva</first>
<last>Mekis</last>
</author>
<author>
<first>Ronald E.</first>
<last>Stewart</last>
</author>
<author>
<first>Julie M.</first>
<last>Thériault</last>
</author>
<author>
<first>Bohdan</first>
<last>Kochtubajda</last>
</author>
<author>
<first>Barrie</first>
<last>Bonsal</last>
</author>
<author>
<first>Zhuo</first>
<last>Liu</last>
</author>
<abstract>Abstract. The 0 °C temperature threshold is critical to many meteorological and hydrological processes driven by melting and freezing in the atmosphere, surface and sub-surface and by the associated precipitation varying between rain, freezing rain, wet snow and snow. This threshold, linked with freeze-thaw, is especially important in cold regions such as Canada. This study develops a Canada-wide perspective on near 0 °C conditions with a particular focus on the occurrence of its associated precipitation. Since this analysis requires hourly values of surface temperature and precipitation type observations, it was limited to 92 stations over the 1981–2011 period. In addition, nine stations representative of various climatic regions are selected for further analysis. Near 0 °C conditions are defined as periods when the surface temperature is between −2 °C and 2 °C. Near 0 °C conditions occur often across all regions of the country although the annual number of days and hours and the duration of these events varies dramatically. Various forms of precipitation (including rain, freezing rain, wet snow and ice pellets) are sometimes linked with these temperatures with highest fractions tending to occur in Atlantic Canada. Trends of most temperature-based and precipitation-based indicators show little or no change despite a systematic warming in annual temperatures. Over the annual cycle, near 0 °C temperatures and precipitation often exhibit a pattern with short durations near summer driven by the diurnal cycle, while longer durations tend to occur more towards winter associated with storms. There is also a tendency for near 0 °C temperatures to occur more often than expected relative to other temperature windows; due at least in part to diabatic cooling and heating occurring with melting and freezing, respectively, in the atmosphere and at the surface.</abstract>
<url hash="55cd6524">G19-10001</url>
<doi>10.5194/hess-2019-297</doi>
<bibkey>Mekis-2019-Assessment</bibkey>
<project>prj36</project>
</paper>
<paper id="15">
<title>Assessment and Projection of Water Budget over Western Canada using Convection Permitting WRF Simulations</title>
<author>
<first>Sopan</first>
<last>Kurkute</last>
</author>
<author>
<first>Zhenhua</first>
<last>Li</last>
</author>
<author>
<first>Yanping</first>
<last>Li</last>
</author>
<author>
<first>Fei</first>
<last>Huo</last>
</author>
<abstract>Abstract. Water resources in cold regions in western Canada face severe risks posed by anthropogenic global warming as evapotranspiration increases and precipitation regimes shift. Although understanding the water cycle is key in addressing climate change issues, it is difficult to obtain high spatial and temporal resolution observations of hydroclimatic processes, especially in remote regions. Climate models are useful tools for dissecting and diagnosing these processes, especially, convection-permitting (CP) high-resolution regional climate simulation provides advantages over lower-resolution models by explicitly representing convection. In addition to better representing convective systems, higher spatial resolution also better represents topography and mountain meteorology, and highly heterogeneous geophysical features. However, there is little work with convection-permitting regional climate models conducted over western Canada. Focusing on the Mackenzie and Saskatchewan river basins, this study investigated the surface water budget and atmospheric moisture balance in historical and RCP8.5 projections using 4-km CP Weather Research and Forecast (WRF). We compared the high-resolution 4-km CP WRF and three common reanalysis datasets: NARR, JRA-55, and ERA-Interim. High-resolution WRF out-performs the reanalyses in balancing the surface water budget in both river basins with much lower residual terms. For the pseudo-global warming scenario at the end of the 21st century with RCP8.5 radiative forcing, both the Mackenzie and Saskatchewan river basins show increases in the amplitude for precipitation and evapotranspiration and a decrease in runoff. The Saskatchewan river basin shows a moderate increase of precipitation in the west and a small decrease in the east. Combined with a significant increase of evapotranspiration in a warmer climate, the Saskatchewan river basin would have a larger deficit of water resources than in the current climate based on the PGW simulation. The high-resolution simulation also shows the difference of atmospheric water vapour balance in the two river basins is due to flow orientation and topography differences at the western boundaries of the two basins. The sensitivity of water vapour balance to fine-scale topography and atmospheric processes shown in this study demonstrates that high-resolution dynamical downscaling is important for large-scale water balance and hydrological cycles.</abstract>
<url hash="ccc4349e">G19-10002</url>
<doi>10.5194/hess-2019-522</doi>
<bibkey>Kurkute-2019-Assessment</bibkey>
<project>prj20</project>
</paper>
</volume>
<volume id="10">
<meta>
<booktitle>Earth System Science Data, Volume 11, Issue 1</booktitle>
<publisher>Copernicus GmbH</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>A long-term hydrometeorological dataset (1993–2014) of a northern mountain basin: Wolf Creek Research Basin, Yukon Territory, Canada</title>
<author>
<first>Kabir</first>
<last>Rasouli</last>
</author>
<author>
<first>John W.</first>
<last>Pomeroy</last>
</author>
<author>
<first>J. R.</first>
<last>Janowicz</last>
</author>
<author>
<first>Tyler J.</first>
<last>Williams</last>
</author>
<author>
<first>Sean K.</first>
<last>Carey</last>
</author>
<abstract>Abstract. A set of hydrometeorological data is presented in this paper, which can be used to characterize the hydrometeorology and climate of a subarctic mountain basin and has proven particularly useful for forcing hydrological models and assessing their performance in capturing hydrological processes in subarctic alpine environments. The forcing dataset includes daily precipitation, hourly air temperature, humidity, wind, solar and net radiation, soil temperature, and geographical information system data. The model performance assessment data include snow depth and snow water equivalent, streamflow, soil moisture, and water level in a groundwater well. This dataset was recorded at different elevation bands in Wolf Creek Research Basin, near Whitehorse, Yukon Territory, Canada, representing forest, shrub tundra, and alpine tundra biomes from 1993 through 2014. Measurements continue through 2018 and are planned for the future at this basin and will be updated to the data website. The database presented and described in this article is available for download at https://doi.org/10.20383/101.0113.</abstract>
<url hash="55cd6524">G19-10001</url>
<pages>89-100</pages>
<doi>10.5194/essd-11-89-2019</doi>
<bibkey>Rasouli-2019-A</bibkey>
<project>prj42</project>
</paper>
<paper id="2">
<title>Lake O'Hara alpine hydrological observatory: hydrological and meteorological dataset, 2004–2017</title>
<author>
<first>Jesse</first>
<last>He</last>
</author>
<author>
<first>Masaki</first>
<last>Hayashi</last>
</author>
<abstract>Abstract. The Lake O'Hara watershed in the Canadian Rockies has been the site of several hydrological investigations. It has been instrumented to a degree uncommon for many alpine study watersheds. Air temperature, relative humidity, wind, precipitation, radiation, and snow depth are measured at two meteorological stations near Lake O'Hara and in the higher elevation Opabin Plateau. Water levels at Lake O'Hara, Opabin Lake, and several stream gauging stations are recorded using pressure transducers and validated against manual measurements. Stage–discharge rating curves were determined at gauging stations and used to calculate discharge from stream stage. The database includes additional data such as water chemistry (temperature, electrical conductivity, and stable isotope abundance) and snow survey (snow depth and density) for select years, as well as geospatial data (elevation and land cover). This dataset will be useful for the future study of alpine regions, where substantial and long-term hydrological datasets are scarce due to difficult field conditions. The dataset can be accessed at https://doi.org/10.20383/101.035.</abstract>
<url hash="ccc4349e">G19-10002</url>
<pages>111-117</pages>
<doi>10.5194/essd-11-111-2019</doi>
<bibkey>He-2019-Lake</bibkey>
<project>prj27</project>
</paper>
</volume>
<volume id="11">
<meta>
<booktitle>Hydrology and Earth System Sciences, Volume 23, Issue 9</booktitle>
<publisher>Copernicus GmbH</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Assessing inter-annual and seasonal patterns of DOC and DOM quality across a complex alpine watershed underlain by discontinuous permafrost in Yukon, Canada</title>
<author>
<first>Nadine J.</first>
<last>Shatilla</last>
</author>
<author>
<first>Sean K.</first>
<last>Carey</last>
</author>
<abstract>Abstract. High-latitude environments store approximately half of the global organic carbon pool in peatlands, organic soils and permafrost, while large Arctic rivers convey an estimated 18–50 Tg C a−1 to the Arctic Ocean. Warming trends associated with climate change affect dissolved organic carbon (DOC) export from terrestrial to riverine environments. However, there is limited consensus as to whether exports will increase or decrease due to complex interactions between climate, soils, vegetation, and associated production, mobilization and transport processes. A large body of research has focused on large river system DOC and dissolved organic matter (DOM) lability and observed trends conserved across years, whereas investigation at smaller watershed scales show that thermokarst and fire have a transient impact on hydrologically mediated solute transport. This study, located in the Wolf Creek Research Basin situated ∼20 km south of Whitehorse, YT, Canada, utilizes a nested design to assess seasonal and annual patterns of DOC and DOM composition across diverse landscape types (headwater, wetland and lake) and watershed scales. Peak DOC concentration and export occurred during freshet, as is the case in most northern watersheds; however, peaks were lower than a decade ago at the headwater site Granger Creek. DOM composition was most variable during freshet with high A254 and SUVA254 and low FI and BIX. DOM composition was relatively insensitive to flow variation during summer and fall. The influence of increasing watershed scale and downstream mixing of landscape contributions was an overall dampening of DOC concentrations and optical indices with increasing groundwater contribution. Forecasted vegetation shifts, enhanced permafrost and seasonal thaw, earlier snowmelt, increased rainfall and other projected climate-driven changes will alter DOM sources and transport pathways. The results from this study support a projected shift from predominantly organic soils (high aromaticity and less fresh) to decomposing vegetation (more fresh and lower aromaticity). These changes may also facilitate flow and transport via deeper flow pathways and enhance groundwater contributions to runoff.</abstract>
<url hash="ed710241">G19-11001</url>
<pages>3571-3591</pages>
<doi>10.5194/hess-23-3571-2019</doi>
<bibkey>Shatilla-Carey-2019-Assessing-inter-annual</bibkey>
<project>prj27</project>
</paper>
<paper id="2">
<title>Precipitation transition regions over the southern Canadian Cordillera during January–April 2010 and under a pseudo-global-warming assumption</title>
<author>
<first>Juris</first>
<last>Almonte</last>
</author>
<author>
<first>Ronald E.</first>
<last>Stewart</last>
</author>
<abstract>Abstract. The occurrence of various types of winter precipitation is an important issue over the southern Canadian Cordillera. This issue is examined from January to April of 2010 by exploiting the high-resolution Weather Research and Forecasting (WRF) model Version 3.4.1 dataset that was used to simulate both a historical reanalysis-driven (control – CTRL) and a pseudo-global-warming (PGW) experiment (Liu et al., 2016). Transition regions, consisting of both liquid and solid precipitation or liquid precipitation below 0 ∘C, occurred on 93 % and 94 % of the days in the present and PGW future, respectively. This led to accumulated precipitation within the transition region increasing by 27 % and was associated with a rise in its average elevation by 374 m over the Coast Mountains and Insular Mountains and by 240 m over the Rocky Mountains and consequently to an eastward shift towards the higher terrain of the Rocky Mountains. Transition regions comprised of only rain and snow were most common under both the CTRL and PGW simulations, although all seven transition region categories occurred. Transition region changes would enhance some of the factors leading to avalanches and would also impact ski resort operations.</abstract>
<url hash="747853fb">G19-11002</url>
<pages>3665-3682</pages>
<doi>10.5194/hess-23-3665-2019</doi>
<bibkey>Almonte-2019-Precipitation</bibkey>
<project>prj27</project>
</paper>
<paper id="3">
<title>A watershed classification approach that looks beyond hydrology: application to a semi-arid, agricultural region in Canada</title>
<author>
<first>Jared D.</first>
<last>Wolfe</last>
</author>
<author>
<first>Kevin</first>
<last>Shook</last>
</author>
<author>
<first>Chris</first>
<last>Spence</last>
</author>
<author>
<first>Colin J.</first>
<last>Whitfield</last>
</author>
<abstract>Abstract. Classification and clustering approaches provide a means to group watersheds according to similar attributes, functions, or behaviours, and can aid in managing natural resources. Although they are widely used, approaches based on hydrological response parameters restrict analyses to regions where well-developed hydrological records exist, and overlook factors contributing to other management concerns, including biogeochemistry and ecology. In the Canadian Prairie, hydrometric gauging is sparse and often seasonal. Moreover, large areas are endorheic and the landscape is highly modified by human activity, complicating classification based solely on hydrological parameters. We compiled climate, geological, topographical, and land-cover data from the Prairie and conducted a classification of watersheds using a hierarchical clustering of principal components. Seven classes were identified based on the clustering of watersheds, including those distinguishing southern Manitoba, the pothole region, river valleys, and grasslands. Important defining variables were climate, elevation, surficial geology, wetland distribution, and land cover. In particular, three classes occur almost exclusively within regions that tend not to contribute to major river systems, and collectively encompass the majority of the study area. The gross difference in key characteristics across the classes suggests that future water management and climate change may carry with them heterogeneous sets of implications for water security across the Prairie. This emphasizes the importance of developing management strategies that target sub-regions expected to behave coherently as current human-induced changes to the landscape will affect how watersheds react to change. The study provides the first classification of watersheds within the Prairie based on climatic and biophysical attributes, with the framework used being applicable to other regions where hydrometric data are sparse. Our findings provide a foundation for addressing questions related to hydrological, biogeochemical, and ecological behaviours at a regional level, enhancing the capacity to address issues of water security.</abstract>
<url hash="037f636d">G19-11003</url>
<pages>3945-3967</pages>
<doi>10.5194/hess-23-3945-2019</doi>
<bibkey>Wolfe-2019-A</bibkey>
<project>prj2</project>
</paper>
<paper id="4">
<title>Representation and improved parameterization of reservoir operation in hydrological and land-surface models</title>
<author>
<first>Fuad</first>
<last>Yassin</last>
</author>
<author>
<first>Saman</first>
<last>Razavi</last>
</author>
<author>
<first>Mohamed</first>
<last>Elshamy</last>
</author>
<author>
<first>Bruce</first>
<last>Davison</last>
</author>
<author>
<first>Gonzalo</first>
<last>Sapriza‐Azuri</last>
</author>
<author>
<first>H. S.</first>
<last>Wheater</last>
</author>
<abstract>Abstract. Reservoirs significantly affect flow regimes in watershed systems by changing the magnitude and timing of streamflows. Failure to represent these effects limits the performance of hydrological and land-surface models (H-LSMs) in the many highly regulated basins across the globe and limits the applicability of such models to investigate the futures of watershed systems through scenario analysis (e.g., scenarios of climate, land use, or reservoir regulation changes). An adequate representation of reservoirs and their operation in an H-LSM is therefore essential for a realistic representation of the downstream flow regime. In this paper, we present a general parametric reservoir operation model based on piecewise-linear relationships between reservoir storage, inflow, and release to approximate actual reservoir operations. For the identification of the model parameters, we propose two strategies: (a) a “generalized” parameterization that requires a relatively limited amount of data and (b) direct calibration via multi-objective optimization when more data on historical storage and release are available. We use data from 37 reservoir case studies located in several regions across the globe for developing and testing the model. We further build this reservoir operation model into the MESH (Modélisation Environmentale-Surface et Hydrologie) modeling system, which is a large-scale H-LSM. Our results across the case studies show that the proposed reservoir model with both parameter-identification strategies leads to improved simulation accuracy compared with the other widely used approaches for reservoir operation simulation. We further show the significance of enabling MESH with this reservoir model and discuss the interdependent effects of the simulation accuracy of natural processes and that of reservoir operations on the overall model performance. The reservoir operation model is generic and can be integrated into any H-LSM.</abstract>
<url hash="9d1bf6ce">G19-11004</url>
<pages>3735-3764</pages>
<doi>10.5194/hess-23-3735-2019</doi>
<bibkey>Yassin-Razavi-2019-Representation-and</bibkey>
<project>prj20</project>
</paper>
</volume>
<volume id="12">
<meta>
<booktitle>Hydrological Processes, Volume 34, Issue 2</booktitle>
<publisher>Wiley</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>HYDROLOGICAL FUNCTION OF A MOUNTAIN FEN AT LOW ELEVATION UNDER DRY CONDITIONS</title>
<author>
<first>Stephanie Claire</first>
<last>Streich</last>
</author>
<author>
<first>Cherie J.</first>
<last>Westbrook</last>
</author>
<abstract>Mountain fens are limited in their spatial extent but are vital ecosystems for biodiversity, habitat, and carbon and water cycling. Studies of fen hydrological function in northern regions indicate the timing and magnitude of runoff is variable, with atmospheric and environmental conditions playing key roles in runoff production. How the complex ecohydrological processes of mountain fens that govern water storage and release as well as peat accumulation will respond to a warmer and less snowy future climate is unclear. To provide insight, we studied the hydrological processes and function of Sibbald fen, located at the low end of the known elevation range in the Canadian Rocky Mountains, over a dry period. We added an evapotranspiration function to the Spence hydrological function method to better account for storage loss. When frozen in spring and early summer, the fen primarily transmits water. When thawed, the fen's hydrological function switches from water transmission to water release, leading to a summertime water table decline of nearly 1 m. Rainfall events larger than 5 mm can transiently switch fen hydrological function to storage, followed by contribution, depending on antecedent conditions. The evapotranspiration function was dominant only for a brief period in late June and early July when rainfall was low and the ground was still partially frozen, even though evapotranspiration accounted for the largest loss of storage from the system. This research highlights the mechanisms by which mountain peatlands supply baseflow during drought conditions, and the importance of frozen ground and rainfall in regulating their hydrological function. The study has important implications for the sustainability of low elevation mountain fens under climate change.</abstract>
<url hash="ffc4adaf">G19-12001</url>
<pages>244-257</pages>
<doi>10.1002/hyp.13579</doi>
<bibkey>Streich-2019-HYDROLOGICAL</bibkey>
<project>prj27</project>
</paper>
<paper id="2">
<title>Quantifying terrain controls on runoff retention and routing in the Northern Prairies</title>
<author>
<first>Igor</first>
<last>Pavlovskii</last>
</author>
<author>
<first>Saskia</first>
<last>Noorduijn</last>
</author>
<author>
<first>Jessica E.</first>
<last>Liggett</last>
</author>
<author>
<first>J.</first>
<last>Klassen</last>
</author>
<author>
<first>Masaki</first>
<last>Hayashi</last>
</author>
<abstract>The role of hummocky terrain in governing runoff routing and focussing groundwater recharge in the Northern Prairies of North America is widely recognised. However, most hydrological studies in the region have not effectively utilised information on the surficial geology and associated landforms in large‐scale hydrological characterization. The present study uses an automated digital elevation model (DEM) analysis of a 6500‐km² area in the Northern Prairies to quantify hydrologically relevant terrain parameters for the common types of terrains in the prairies with different surficial deposits widespread in the prairies, namely, moraines and glaciolacustrine deposits. Runoff retention (and storage) capacity within depressions varies greatly between different surficial deposits and is comparable in magnitude with a typical amount of seasonal snowmelt runoff generation. The terrain constraint on potential runoff retention varies from a few millimetres in areas classified as moraine to tens of millimetres in areas classified as stagnant ice moraine deposits. Fluted moraine and glaciolacustrine deposits have intermediate storage capacity values. The study also identified the probability density function describing a number of immediate upstream neighbours for each depression in a fill‐and‐spill network. A relationship between depression parameters and surficial deposits, as well as identified depression network structure, allows parametrisation of hydrologic models outside of the high‐resolution DEM coverage, which can still account for terrain variation in the Prairies.</abstract>
<url hash="66cdfc15">G19-12002</url>
<pages>473-484</pages>
<doi>10.1002/hyp.13599</doi>
<bibkey>Pavlovskii-2019-Quantifying</bibkey>
<project>prj33</project>
</paper>
<paper id="3">
<title>Delineating extent and magnitude of river flooding to lakes across a northern delta using water isotope tracers</title>
<author>
<first>Casey R.</first>
<last>Remmer</last>
</author>
<author>
<first>Tanner J.</first>
<last>Owca</last>
</author>
<author>
<first>Laura K.</first>
<last>Neary</last>
</author>
<author>
<first>Johan A.</first>
<last>Wiklund</last>
</author>
<author>
<first>Mitchell L.</first>
<last>Kay</last>
</author>
<author>
<first>Brent B.</first>
<last>Wolfe</last>
</author>
<author>
<first>Roland I.</first>
<last>Hall</last>
</author>
<abstract>Hydrological monitoring in complex, dynamic northern floodplain landscapes is challenging, but increasingly important as a consequence of multiple stressors. The Peace‐Athabasca Delta in northern Alberta, Canada, is a Ramsar Wetland of International Importance reliant on episodic river ice‐jam flood events to recharge abundant perched lakes and wetlands. Improved and systematic monitoring of landscape‐scale hydrological connectivity among freshwater ecosystems (rivers, channels, wetlands, and lakes) is needed to guide stewardship decisions in the face of climate change and upstream industrial development. Here, we use water isotope compositions, supplemented by measurements of specific conductivity and field observations, from 68 lakes and 9 river sites in May 2018 to delineate the extent and magnitude of spring ice‐jam induced flooding along the Peace and Athabasca rivers. Lake‐specific estimates of input water isotope composition (δI) were modelled after accounting for influence of evaporative isotopic enrichment. Then, using the distinct isotopic signature of input water sources, we develop a set of binary mixing models and estimate the proportion of input to flooded lakes attributable to river floodwater and precipitation (snow or rain). This approach allowed identification of areas and magnitude of flooding that were not captured by other methods, including direct observations from flyovers, and to demarcate flow pathways in the delta. We demonstrate water isotope tracers as an efficient and effective monitoring tool for delineating spatial extent and magnitude of an important hydrological process and elucidating connectivity in the Peace‐Athabasca Delta, an approach that can be readily adopted at other floodplain landscapes.</abstract>
<url hash="11cacc83">G19-12003</url>
<pages>303-320</pages>
<doi>10.1002/hyp.13585</doi>
<bibkey>Remmer-2019-Delineating</bibkey>
<project>prj28</project>
</paper>
</volume>
<volume id="13">
<meta>
<booktitle>Science of The Total Environment, Volume 656</booktitle>
<publisher>Elsevier BV</publisher>
<address />
<year>2019</year>
</meta>
<paper id="1">
<title>Climate-phenology-hydrology interactions in northern high latitudes: Assessing the value of remote sensing data in catchment ecohydrological studies</title>
<author>
<first>Hailong</first>