SABAE‐HW: An Enhanced Water Balance Prediction in the Canadian Land Surface Scheme Compared with Existing Models

Loukili, Youssef; Woodbury, Allan D.; Snelgrove, K. R.

doi:10.2136/vzj2007.0081

Cited by 10 publications

(8 citation statements)

References 40 publications

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“…Secondly, the linear relationship presented by Loukili et al (2008) was tested (LWS): (13) where: λ dry , λ sat -soil thermal conductivities for dry and saturated soil, respectively S r -soil water saturation degree (equal to θ/θ s )…”

Section: Soil Thermal Parametersmentioning

confidence: 99%

“…Thus the soil heat transport simulation is becoming an integral part of models describing diverse phenomena: the land surface influence on climate and meteorological conditions (Loukili et al 2008), crop growth (Timlin et al 2002), soil CO 2 production (Buchner et al 2008;Bauer et al 2012), ecosystem carbon sequestration (Ju et al 2006), or subsurface soil water evaporation (Sakai et al 2011). The coupled soil water and heat transport modelling was also used to improve the understanding of hydraulic processes below the land surface (Ronan et al 1998;Vogel et al 2011).…”

mentioning

confidence: 99%

“…The λ(θ) estimation methods assess the soil thermal conductivity in dry and saturated soil conditions using the basic knowledge of the soil composition, and then approximate the shape of the λ(θ) relationship. Some models rely on a simple linear λ(θ) relationship (Loukili et al 2008). More sophisticated methods provide non-linear λ(θ) estimates.…”

mentioning

confidence: 99%

“…Onedimensional dual-continuum model of coupled water and heat transport is employed (Vogel et al 2011). The soil thermal conductivity is assessed using three different approaches: (i) relationships provided by Chung and Horton (1987), (ii) linear λ(θ) estimates as described by Loukili et al (2008), (iii) methodology proposed by Côté and Konrad (2005). The results of simulations are compared with the soil temperatures observed and performance of the different λ(θ) approximation methods is examined.…”

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confidence: 99%

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On parameterization of heat conduction in coupled soil water and heat flow modelling

et al. 2012

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Soil water and heat transport plays an important role in various hydrologic, agricultural, and industrial applications. Accordingly, an increasing attention is paid to relevant simulation models. In the present study, soil thermal conditions at a mountain meadow during the vegetation season were simulated. A dual-continuum model of coupled water and heat transport was employed to account for preferential flow effects. Data collected at an experimental site in the Šumava Mountains, southern Bohemia, during the vegetation season 2009 were employed. Soil hydraulic properties (retention curve and hydraulic conductivity) determined by independent soil tests were used. Unavailable hydraulic parameters were adjusted to obtain satisfactory hydraulic model performance. Soil thermal properties were estimated based on values found in literature without further optimization. Three different approaches were used to approximate the soil thermal conductivity function, λ(θ): (i) relationships provided by Chung and Horton (ii) linear estimates as described by Loukili, Woodbury and Snelgrove, (iii) methodology proposed by Côté and Konrad. The simulated thermal conditions were compared to those observed. The impact of different soil thermal conductivity approximations on the heat transport simulation results was analysed. The differences between the simulation results in terms of the soil temperature were small. Regarding the surface soil heat flux, these differences became substantial. More realistic simulations were obtained using λ(θ) estimates based on the soil texture and composition. The differences between these two, related to neglecting vs. considering λ(θ) non-linearity, were found negligible.

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Section: Soil Thermal Parametersmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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On parameterization of heat conduction in coupled soil water and heat flow modelling

et al. 2012

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“…Compared to precipitation, which is measurable at least on a point scale, evaporation estimates have a large degree of uncertainty. The accuracy of model-simulated groundwater recharge has been tested by the comparison of simulated groundwater level to observation data ( Jyrkama et al, 2002) or the comparison of land-surface model outputs to those of more sophisticated unsaturated flow models (Loukili et al, 2008). However, simulated evaporation in these models has rarely been compared against measured evaporation in the field.…”

Section: Introductionmentioning

confidence: 99%

Application of the Versatile Soil Moisture Budget Model to Estimate Evaporation from Prairie Grassland

Jackson¹,

Xu²

2010

Canadian Water Resources Journal

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Coupled hydrological modelling of land surface and groundwater is an effective tool for water resources management. The Versatile Soil Moisture Budget (VSMB) model is a simple landsurface model that has been widely used in the Canadian prairies to simulate soil moisture conditions of cropland. Its algorithm is suitable for coupling with a groundwater model, but VSMB has not been rigorously tested for grassland as such. The accuracy of simulated grassland evaporation was evaluated against three years of field data collected using the eddy-covariance technique near Calgary, Alberta. The current version of VSMB substantially underestimated evaporation. After modifications on growth stage parameters, radiation scheme, the drying curve function representing the ratio of actual to potential evaporation, and soil-column length, simulated evaporation was well within the error margin of observed values. In the semi-arid environment of the test site, simulated evaporation was relatively insensitive to soil water storage parameters but was sensitive to the drying curve function and soil-column length.Résumé : Les modèles hydrologiques couplés des eaux de surface et souterraine sont un outil efficace pour la gestion de ressources hydriques. Le 'bilan universel de l'eau du sol' (BUES) est un modèle pour l'eau de surface qui est couramment utilisé pour simuler les conditions de teneur en eau des sols de terres cultivables dans les prairies canadiennes. L'algorithme du BUES permet de le coupler avec des modèles d'eaux souterraines, mais il n'a pas encore été rigoureusement testé pour les prairies. La précision d'une simulation de l'évaporation pour une prairie a été comparée à des données de terrain acquises par la technique de covariance des tourbillons pendant trois ans sur un site près de Calgary, Alberta. La version courante du BUES sous-estime considérablement l'évaporation. Après des modifications aux paramètres des étapes de croissance, au schéma de radiation, et à la fonction de la courbe d'assèchement (qui représente le rapport d'évaporation actuelle et potentielle), l'évaporation simulée correspondait aux valeurs observées, à l'intérieur des marges d'erreur. Dans l'environnement semi-aride du site testé, l'évaporation simulée dépendait peu des paramètres de rétention d'eau des sols ; elle était plutôt liée à la fonction de la courbe d'assèchement. 188Canadian Water Resources Journal/Revue canadienne des ressources hydriques

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Effects of climate change on depression‐focused groundwater recharge in the Canadian Prairies

Negm

Abdrakhimova

Rasouli

2021

Vadose Zone Journal

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Small topographic depressions are ubiquitous in the glaciated terrain of the Northern Prairies characterized by a cold semiarid climate. Groundwater recharge in this region is focused in topographic depressions, which receive lateral inputs of snowmelt runoff in addition to vertical inputs of precipitation. The response of depressionfocused recharge to climate change is largely unknown due to the difficulty of representing the complex interaction between depressions and surrounding uplands in hydrological models. This study evaluates climate change effects on recharge using a process-based hydrological model and the pseudo-global warming (PGW) approach representing a climate of 2092-2100, which has a higher mean annual temperature (+4.9˚C) and precipitation (+135 mm or +27%) compared with the present climate. The recharge model is conditioned using field data from an instrumented grassland site in the Canadian Prairies. Under the present climate, snowmelt runoff occurred in March-April over frozen soil, which accounted for the majority of water transfer from the upland to the depression. Under the PGW scenario, the amount of snowmelt runoff in March-April decreased due to lower snow accumulation and shorter periods of frozen soil. Instead, runoff occurred in midwinter and also in summer months due to increased intensity and duration of summer storms. Despite the increased precipitation, mean annual recharge rates decreased from 10.2 to 3.2 mm yr -1 , indicating the importance of considering the complex effects of warmer and wetter climate on hydrological processes in cold semiarid regions.

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SABAE‐HW: An Enhanced Water Balance Prediction in the Canadian Land Surface Scheme Compared with Existing Models

Cited by 10 publications

References 40 publications

On parameterization of heat conduction in coupled soil water and heat flow modelling

On parameterization of heat conduction in coupled soil water and heat flow modelling

Application of the Versatile Soil Moisture Budget Model to Estimate Evaporation from Prairie Grassland

Effects of climate change on depression‐focused groundwater recharge in the Canadian Prairies

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