The Multibudget Soil, Vegetation, and Snow (SVS) Scheme for Land Surface Parameterization: Offline Warm Season Evaluation

Husain, Syed Zahid; Alavi, Nasim; Bélair, Stéphane; Carrera, Marco L.; Zhang, Shunli; Fortin, Vincent; Abrahamowicz, Maria; Gauthier, Nathalie

doi:10.1175/jhm-d-15-0228.1

Cited by 57 publications

(61 citation statements)

References 42 publications

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“…MESH represents hydrological processes within a basin with three major components: (a) a vertical exchange of water and energy within a grid cell, (b) surface and subsurface runoff generation, and (c) the routing of lateral fluxes. For vertical exchanges and generation of lateral fluxes of water and energy for vegetation, soil and snow, MESH uses the Canadian land surface scheme (CLASS; Verseghy, ; Verseghy, McFarlane, & Lazare, ) or the soil, vegetation, and snow scheme (SVS; Husain et al, ). The lateral soil (subsurface) and surface water movement are simulated by either WATROF (Soulis, Snelgrove, Kouwen, Seglenieks, & Verseghy, ) or PDMROF (Mekonnen et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…There is an ongoing effort in Canada, led by a team of researchers from ECCC and the University of Saskatchewan, to further develop, improve, and apply the MESH modelling system for most of Canada. These improvements are aimed to strengthen MESH's ability to simulate hydrological processes adequately under current and changing environmental conditions in Canada and across the globe (Haghnegahdar, Razavi, Yassin, & Wheater, 2017 Verseghy, 1991;Verseghy, McFarlane, & Lazare, 1993) or the soil, vegetation, and snow scheme (SVS; Husain et al, 2016). The lateral soil (subsurface) and surface water movement are simulated by either WATROF (Soulis, Snelgrove, Kouwen, Seglenieks, & Verseghy, 2000) or PDMROF (Mekonnen et al, 2014).…”

Section: Land-surface Hydrological Modelling System Meshmentioning

confidence: 99%

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Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem

Rokaya

Peters

Elshamy

et al. 2020

Hydrological Processes

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Anthropogenic and climatic‐induced changes to flow regimes pose significant risks to river systems. Northern rivers and their deltas are particularly vulnerable due to the disproportionate warming of the Northern Hemisphere compared with the Southern Hemisphere. Of special interest is the Peace–Athabasca Delta (PAD) in western Canada, a productive deltaic lake and wetland ecosystem, which has been recognized as a Ramsar site. Both climate‐ and regulation‐induced changes to the hydrological regime of the Peace River have raised concerns over the delta's ecological health. With the damming of the headwaters, the role of downstream unregulated tributaries has become more important in maintaining, to a certain degree, a natural flow regime, particularly during open‐water conditions. However, their flow contributions to the mainstem river under future climatic conditions remain largely uncertain. In this study, we first evaluated the ability of a land‐surface hydrological model to simulate hydro‐ecological relevant indicators, highlighting the model's strengths and weaknesses. Then, we investigated the streamflow conditions in the Smoky River, the largest unregulated tributary of the Peace River, in the 2071–2100 versus the 1981–2010 periods. Our modelling results revealed significant changes in the hydrological regime of the Smoky River, such as increased discharge in winter (+190%) and spring (+130%) but reduced summer flows (−33%) in the 2071–2100 period compared with the baseline period, which will have implications for the sustainability of the downstream PAD. In particular, the projected reductions in 30‐day and 90‐day maximum flows in the Smoky River will affect open‐water flooding, which is important in maintaining lake levels and connectivity to perimeter delta wetlands in the Peace sector of the PAD. The evaluation of breakup and freeze‐up flows for the 2071–2100 period showed mixed implications for the ice‐jam flooding, which is essential for recharging high‐elevation deltaic basins. Thus, despite projected increase in annual and spring runoff in the 2071–2100 period from the Smoky sub‐basin, the sustainability of the PAD still remains uncertain.

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Section: Methodsmentioning

confidence: 99%

Section: Land-surface Hydrological Modelling System Meshmentioning

confidence: 99%

Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem

Rokaya

Peters

Elshamy

et al. 2020

Hydrological Processes

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“…CaLDAS relies on an ensemble Kalman filter procedure. It will include the land surface model Soil, Vegetation, and Snow (SVS; Alavi et al 2016;Husain et al 2016). CaLDAS assimilates remotely sensed information on soil moisture in addition to surface observations of temperature and dewpoint.…”

Section: Appendix: a Detailed Description Of The Models Forming Wcps mentioning

confidence: 99%

Toward an Operational Water Cycle Prediction System for the Great Lakes and St. Lawrence River

Durnford

Fortin

Smith

et al. 2018

Bulletin of the American Meteorological Society

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In this time of a changing climate, it is important to know whether lake levels will rise, potentially causing flooding, or river flows will dry up during abnormally dry weather. The Great Lakes region is the largest freshwater lake system in the world. Moreover, agriculture, industry, commerce, and shipping are active in this densely populated region. Environment and Climate Change Canada (ECCC) recently implemented the Water Cycle Prediction System (WCPS) over the Great Lakes and St. Lawrence River watershed (WCPS-GLS version 1.0) following a decade of research and development. WCPS, a network of linked models, simulates the complete water cycle, following water as it moves from the atmosphere to the surface, through the river network and into lakes, and back to the atmosphere. Information concerning the water cycle is passed between the models. WCPS is the first short-to-medium-range prediction system of the complete water cycle to be run on an operational basis anywhere. It currently produces two forecasts per day for the next three days. WCPS generally provides reliable results throughout the length of the forecast. The transmission of errors between the component models is reduced by data assimilation. Interactions between the environmental compartments are active. This ongoing intercommunication is valuable for extreme events such as rapid ice freeze-up and flooding or drought caused by abnormal amounts of precipitation. Products include precipitation; evaporation; lake water levels, temperatures, and currents; ice cover; and river flows. These products are of interest to a wide variety of governmental, commercial, and industrial groups, as well as the public.

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“…Environment and Climate Change Canada (ECCC), which provides operational weather and environmental forecasts within its boundary, is currently in the process of implementing a major upgrade to the LSS of the Global Environmental Multi-scale model (GEM), the national model. This new scheme, named SVS for soil, vegetation and snow, has been devised to assimilate space-based soil moisture retrievals as well as surface data, and has proven efficient at simulating soil moisture and brightness temperature Husain et al, 2016). SVS will be used to replace the Canadian version of the ISBA (Interaction Sol-Biosphère-Atmosphère) scheme that has been used in GEM since 2001 (Bélair et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Although the SVS scheme typically performed well for soil moisture simulations (e.g., Alavi et al, 2016;Husain et al, 2016), the capabilities of SVS to predict streamflow within the framework of GEM-Hydro, especially for large basins with ungauged portions, have not yet been examined. In this work, we present the calibration and evaluation of GEM-Hydro based upon the SVS scheme for streamflow simulation over the Lake Ontario basin.…”

Section: Introductionmentioning

confidence: 99%

A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin

Gaborit

Fortin

Xinwen

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. This work explores the potential of the distributed GEM-Hydro runoff modeling platform, developed at Environment and Climate Change Canada (ECCC) over the last decade. More precisely, the aim is to develop a robust implementation methodology to perform reliable streamflow simulations with a distributed model over large and partly ungauged basins, in an efficient manner. The latest version of GEM-Hydro combines the SVS (Soil, Vegetation and Snow) land-surface scheme and the WATROUTE routing scheme. SVS has never been evaluated from a hydrological point of view, which is done here for all major rivers flowing into Lake Ontario. Two established hydrological models are confronted to GEM-Hydro, namely MESH and WATFLOOD, which share the same routing scheme (WATROUTE) but rely on different land-surface schemes. All models are calibrated using the same meteorological forcings, objective function, calibration algorithm, and basin delineation. GEM-Hydro is shown to be competitive with MESH and WATFLOOD: the NSE √ (Nash-Sutcliffe criterion computed on the square root of the flows) is for example equal to 0.83 for MESH and GEM-Hydro in validation on the Moira River basin, and to 0.68 for WATFLOOD. A computationally efficient strategy is proposed to calibrate SVS: a simple unit hydrograph is used for routing instead of WATROUTE. Global and local calibration strategies are compared in order to estimate runoff for ungauged portions of the Lake Ontario basin.Overall, streamflow predictions obtained using a global calibration strategy, in which a single parameter set is identified for the whole basin of Lake Ontario, show accuracy comparable to the predictions based on local calibration: the average NSE √ in validation and over seven subbasins is 0.73 and 0.61, respectively for local and global calibrations. Hence, global calibration provides spatially consistent parameter values, robust performance at gauged locations, and reduces the complexity and computation burden of the calibration procedure. This work contributes to the Great Lakes Runoff Inter-comparison Project for Lake Ontario (GRIP-O), which aims at improving Lake Ontario basin runoff simulations by comparing different models using the same input forcings. The main outcome of this study consists in a new generalizable methodology for implementing a distributed hydrologic model with a high computation cost in an efficient and reliable manner, over a large area with ungauged portions, using global calibration and a unit hydrograph to replace the routing component.

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The Multibudget Soil, Vegetation, and Snow (SVS) Scheme for Land Surface Parameterization: Offline Warm Season Evaluation

Cited by 57 publications

References 42 publications

Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem

Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem

Toward an Operational Water Cycle Prediction System for the Great Lakes and St. Lawrence River

A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin

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