Characterizing snowmelt variability in a land‐surface‐hydrologic model

Davison, Bruce; Pohl, S.; Domes, P.; Marsh, Philip; Pietroniro, Alain; Mackay, Murray

doi:10.3137/ao.440305

Cited by 35 publications

(33 citation statements)

References 42 publications

(32 reference statements)

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“…Within the models examined here, only two papers illustrated the effects of late-lying snow drifts (Davison et al, 2006;Pomeroy et al, 2007). In both studies, the areas of interest were relatively small.…”

Section: Does the Model Capture The Spatial And Temporal Scales Of Inmentioning

confidence: 99%

“…Some papers consider the modelling of physical processes relevant to low flows, such as Moore (1993) for glacierized basins, Stadnyk et al (2005) for groundwater contributions to flow, and Davison et al (2006) and Pomeroy et al (2007) for latelying snow drifts, but none of these studies explicitly consider the capability of the models to predict lowflows. A number of other case studies also make use of hydrologic models coupled with groundwater models (e.g., Wardlaw et al, 1994;Abbey et al, 2007;Ford and Wexler, 2007;and AquaResource, 2008) or just groundwater models (e.g., Clausen and Rasmussen, 1993;Clausen et al, 1994;Lanen et al, 1993) for water management purposes, but again the focus was not specifically on low-flows.…”

Section: Low-flow Studies Using Deterministic Modelsmentioning

confidence: 99%

“…If the model is distributed (or semi-distributed), then late-lying snow packs can be modelled through appropriate initialization and parameter selection (e.g., Davison et al, 2006). Pomeroy et al (2007) also illustrated how CRHM can deal with the flow coming from late-lying drifts.…”

Section: Melting Of Late Snow Packs Subsurface Ice and Surface Ice (mentioning

confidence: 99%

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Low-Flows in Deterministic Modelling: A Brief Review

Davison¹,

Kamp²

2008

Canadian Water Resources Journal

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Deterministic hydrological models are limited in their ability to model low-flows, but as they are increasingly being used for low-flow studies, a review is timely if they are to be used for this purpose. The representations of the physical processes that govern low-flows are described for a selection of models developed and/or used in Canada. The models vary in the extent to which they incorporate low-flow processes, such as drawdown of storage in lakes, stream channels and wetlands, riparian evapotranspiration, freeze-up and bank storage. The representation of groundwater in the models is not physically-based and the hydrologic models must be coupled with distributed groundwater models to answer questions about groundwater withdrawals. Most models have not been rigorously tested for low-flow simulations. Considerable work remains to be done, especially in the adequate representation of low-flow processes, and in evaluation of models for low-flow studies by using low-flow specific evaluation criteria.Résumé : Les modèles hydrologiques déterministes sont limités dans leur capacité de modéliser les basses eaux. Cependant, étant donné que ces modèles sont de plus en plus employés pour les études sur les étiages, un examen s'impose s'ils doivent servir à cette fin. Les représentations des processus physiques qui régissent les basses eaux sont décrites pour une gamme de modèles élaborés et/ou utilisés au Canada. Les modèles varient quant au degré suivant lequel ils incorporent les processus de basses eaux, par exemple la diminution de l'emmagasinement dans les lacs, les chenaux de cours d'eau et les milieux humides, de l'évapotranspiration riveraine, de l'englacement et de l'emmagasinement dans les berges. La représentation des eaux souterraines dans les modèles n'est pas basée sur des critères physiques et les modèles hydrologiques doivent être couplés avec des modèles répartis d'eau souterraine pour apporter des réponses aux questions entourant les prélèvements d'eau souterraine. La plupart des modèles n'ont pas été testés rigoureusement pour les simulations des basses eaux. Il reste encore pas mal de travail à accomplir, en particulier en ce qui concerne la représentation adéquate des processus d'étiage et l'évaluation des modèles pour les études sur les basses eaux à l'aide de critères d'évaluation propres aux basses eaux. 182Canadian Water Resources Journal/Revue canadienne des ressources hydriques

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Section: Does the Model Capture The Spatial And Temporal Scales Of Inmentioning

confidence: 99%

Section: Low-flow Studies Using Deterministic Modelsmentioning

confidence: 99%

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Low-Flows in Deterministic Modelling: A Brief Review

Davison¹,

Kamp²

2008

Canadian Water Resources Journal

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“…Failure to account for even basic features such as slope and aspect has been shown to be detrimental to snowmelt and stream flow prediction (Dornes et al, 2008a). In modelling a sub-Arctic catchment, Davison et al (2006) concluded that incorporating surface slope and aspect is required for proper snow-cover ablation and runoff timing. Pohl et al (2006) identified that the small-scale variability in solar radiation for the melt period was an important contributing factor for the development of patchy snow cover in the tundra and that it also controlled the timing and magnitude of melt water release to the basin.…”

Section: Overviewmentioning

confidence: 99%

Implications of mountain shading on calculating energy for snowmelt using unstructured triangular meshes

Marsh

Pomeroy

Spiteri

2012

Hydrological Processes

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In many parts of the world, the snowmelt energy balance is dominated by net solar shortwave radiation. This is the case in the Canadian Rocky Mountains, where clear skies dominate the winter and spring. In mountainous regions, solar irradiance at the snow surface is not only affected by solar angles, atmospheric transmittance, and the slope and aspect of immediate topography, but also by shadows from surrounding terrain. Many hydrological models do not consider such horizon-shadows. The accumulation of errors in estimating solar irradiance by neglecting horizon-shadows can lead to significant errors in calculating the timing and rate of snowmelt due to the seasonal storage of internal energy in the snowpack.A common approach to representing the landscape is through structured meshes. iii

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“…The coupled model laterally routes excess surface runoff (that above a defined ponding depth) and subsurface runoff (water in excess of soil storage) from the vertical water budget through soils and stream channels to CLASS 3.6. MESH and its immediate predecessor, WATCLASS, have been successfully applied to several Canadian basins (Pohl et al, 2005;Davison et al, 2006;Pietroniro et al, 2007;Soulis and Seglenieks, 2007;Dornes et al, 2008;Yirdaw et al, 2009;MacLean et al, 2010).…”

mentioning

confidence: 99%

On the Relationship Between Flood and Contributing Area

Spence

Mengistu

2017

Preprint

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Abstract:While it is well known that the vast majority of the time only a portion of any watershed contributes runoff to the outlet, this extent is rarely documented. The power-law form of the streamflow and contributing area (Q-A c ) relationship has been known for a half century, but it is uncommon for it to be quantified or its controls evaluated. In this study a semidistributed hydrological model (MESH-PDMROF) that can simulate contributing area and

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Characterizing snowmelt variability in a land‐surface‐hydrologic model

Abstract: ABSTRACT

Cited by 35 publications

References 42 publications

Low-Flows in Deterministic Modelling: A Brief Review

Low-Flows in Deterministic Modelling: A Brief Review

Implications of mountain shading on calculating energy for snowmelt using unstructured triangular meshes

On the Relationship Between Flood and Contributing Area

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