Prediction of Cryo-SWCC during Freezing Based on Pore-Size Distribution

Noh, Jeong-Hyun; Lee, Seung-Rae; Park, Hyunku

doi:10.1061/(asce)gm.1943-5622.0000134

Cited by 20 publications

(10 citation statements)

References 21 publications

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“…[]); and (ii) ice is treated as part of the solid matrix in order to calculate the liquid water matric potential ψ . Including ice as part of the solid matrix prevents freezing‐induced suction under saturated conditions [see also Noh et al ., ; Painter and Karra , ].…”

Section: Conservation Equationsmentioning

confidence: 99%

A unified approach for process‐based hydrologic modeling: 2. Model implementation and case studies

Clark

Nijssen

Lundquist

et al. 2015

Water Resources Research

193

181

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This work advances a unified approach to process-based hydrologic modeling, which we term the ''Structure for Unifying Multiple Modeling Alternatives (SUMMA).'' The modeling framework, introduced in the companion paper, uses a general set of conservation equations with flexibility in the choice of process parameterizations (closure relationships) and spatial architecture. This second paper specifies the model equations and their spatial approximations, describes the hydrologic and biophysical process parameterizations currently supported within the framework, and illustrates how the framework can be used in conjunction with multivariate observations to identify model improvements and future research and data needs. The case studies illustrate the use of SUMMA to select among competing modeling approaches based on both observed data and theoretical considerations. Specific examples of preferable modeling approaches include the use of physiological methods to estimate stomatal resistance, careful specification of the shape of the within-canopy and below-canopy wind profile, explicitly accounting for dust concentrations within the snowpack, and explicitly representing distributed lateral flow processes. Results also demonstrate that changes in parameter values can make as much or more difference to the model predictions than changes in the process representation. This emphasizes that improvements in model fidelity require a sagacious choice of both process parameterizations and model parameters. In conclusion, we envisage that SUMMA can facilitate ongoing model development efforts, the diagnosis and correction of model structural errors, and improved characterization of model uncertainty.

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Section: Conservation Equationsmentioning

confidence: 99%

A unified approach for process‐based hydrologic modeling: 2. Model implementation and case studies

Clark

Nijssen

Lundquist

et al. 2015

Water Resources Research

193

181

View full text Add to dashboard Cite

show abstract

“…A third approach (Painter, 2011) is based on the observation that the available pore space is the volume not occupied by solid (ice and soil solid material), and it would thus seem reasonable to relate the apparent liquid saturation—the fraction of the available pore space occupied by liquid—to the unfrozen soil water characteristic curve

\frac{s_{1}}{1 - s_{normali}} = S_{*} (p_{normalg} - p_{1})

where the right side is the apparent liquid saturation and p g is gas pressure. Noh et al (2012) have taken the additional step of modifying the van Genuchten α parameter to account for the reduction in the available porosity and the shift in the available pore‐size distribution as ice forms in the larger pores. That additional degree of complication is ignored here.…”

Section: Unfrozen Water Content As Function Of Temperature and Liquidmentioning

confidence: 99%

“…where the right side is the apparent liquid saturation and p g is gas pressure. Noh et al (2012) have taken the additional step of modifying the van Genuchten a parameter to account for the reduction in the available porosity and the shit in the available pore-size distribution as ice forms in the larger pores. hat additional degree of complication is ignored here.…”

Section: Function Of Temperature and Liquid Pressurementioning

confidence: 99%

Constitutive Model for Unfrozen Water Content in Subfreezing Unsaturated Soils

Painter

Karra

2014

Vadose Zone Journal

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A new constitutive relationship for phase partitioning of water in frozen soils is proposed. This relationship extends to unsaturated conditions established relationships for gas‐free conditions by smoothing a thermodynamically derived relationship to eliminate a jump discontinuity at the freezing temperature. This relationship is shown to compare well with experimental data on unfrozen water content as a function of temperature for different total water content values. Using this new relationship, a modified nonisothermal Richards equation is solved for flow in freezing soil. The results based on this modified Richards equation are shown to compare well with data from two different column experiments.

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“…For example, synthetic test problems have been used to evaluate different numerical solutions of Richards' equation [Celia et al, 1990;Boone and Wetzel, 1996;Tocci et al, 1997;Lee and Abriola, 1999;Vanderborght et al, 2005;Miller et al, 2006], different approaches to represent cyrosuction processes during soil freezing [Hansson et al, 2004;Noh et al, 2011;Painter, 2011], different approaches to simulate lateral subsurface flow [Wigmosta and Lettenmaier, 1999;Selker, 2005, 2006;Bogaart et al, 2013;Troch et al, 2013], and different numerical approximations of overland flow [Parlange et al, 1981;Govindaraju et al, 1990;Mizumura, 2006;Mizumura andIto, 2010, 2011]. Such synthetic test problems are not widely used in the land surface modeling community-yet there is a need to incorporate these synthetic test problems in model test suites in order to provide a rudimentary test of the model implementation and continually check if changes to the model corrupt the most basic model capabilities.…”

Section: Synthetic Test Problemsmentioning

confidence: 99%

Improving the representation of hydrologic processes in Earth System Models

Clark

Fan

Lawrence

et al. 2015

Water Resources Research

468

404

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Many of the scientific and societal challenges in understanding and preparing for global environmental change rest upon our ability to understand and predict the water cycle change at large river basin, continent, and global scales. However, current large-scale land models (as a component of Earth System Models, or ESMs) do not yet reflect the best hydrologic process understanding or utilize the large amount of hydrologic observations for model testing. This paper discusses the opportunities and key challenges to improve hydrologic process representations and benchmarking in ESM land models, suggesting that (1) land model development can benefit from recent advances in hydrology, both through incorporating key processes (e.g., groundwater-surface water interactions) and new approaches to describe multiscale spatial variability and hydrologic connectivity; (2) accelerating model advances requires comprehensive hydrologic benchmarking in order to systematically evaluate competing alternatives, understand model weaknesses, and prioritize model development needs, and (3) stronger collaboration is needed between the hydrology and ESM modeling communities, both through greater engagement of hydrologists in ESM land model development, and through rigorous evaluation of ESM hydrology performance in research watersheds or Critical Zone Observatories. Such coordinated efforts in advancing hydrology in ESMs have the potential to substantially impact energy, carbon, and nutrient cycle prediction capabilities through the fundamental role hydrologic processes play in regulating these cycles.

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Prediction of Cryo-SWCC during Freezing Based on Pore-Size Distribution

Cited by 20 publications

References 21 publications

A unified approach for process‐based hydrologic modeling: 2. Model implementation and case studies

A unified approach for process‐based hydrologic modeling: 2. Model implementation and case studies

Constitutive Model for Unfrozen Water Content in Subfreezing Unsaturated Soils

Improving the representation of hydrologic processes in Earth System Models

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