Linking evaporative fluxes from bare soil across surface viscous sublayer with the Monin–Obukhov atmospheric flux-profile estimates

Haghighi, Erfan; Or, Dani

doi:10.1016/j.jhydrol.2015.04.019

Cited by 30 publications

(36 citation statements)

References 68 publications

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“…The physically based near surface resistance model developed by Haghighi et al . [] and Haghighi and Or [2015, ] agree well with observations at laboratory scales [ Shahraeeni et al ., ]. The resistance model uses an analytical solution for pore‐based diffusion derived by Schlünder [] in combination with a term that accounts for capillary‐driven water movement in soil pores.…”

Section: Cable Model Descriptionsupporting

confidence: 83%

“…Using

q (z_{0 normals})

from equation and equating the evaporative flux from equations and , we follow the same derivation procedure as Haghighi and Or [2015, ] to find

E_{s o i l} = ρ_{a} L_{v} \frac{q_{s r f} - q_{a}}{r_{g} + \frac{z_{0 normals}}{δ} (r_{sv} + r_{BL})}

where q srf (

kg

{kg}^{- 1}

) is the specific humidity of the air in the pore space,

q_{a}

(

kg

{kg}^{- 1}

) is the specific humidity of the atmosphere, and

r_{g}

(

normals

m^{- 1}

) is the total resistance to turbulent transfer from

z_{0 s}

to d .…”

Section: Cable Model Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

New turbulent resistance parameterization for soil evaporation based on a pore‐scale model: Impact on surface fluxes in CABLE

Decker

Pitman

et al. 2017

J Adv Model Earth Syst

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The Community Atmosphere Biosphere Land Exchange (CABLE) land surface model overestimates evapotranspiration (E) at numerous flux tower sites during boreal spring. The overestimation of E is not eliminated when the nonlinear dependence of soil evaporation on soil moisture or a simple litter layer is introduced into the model. New resistance terms, previously developed from a pore‐scale model of soil evaporation, are incorporated into the treatment of under canopy water vapor transfer in CABLE. The new resistance terms reduce the large positive bias in spring time E at multiple flux tower sites and also improve the simulation of daily sensible heat flux. The reduction in the spring E bias allows the soil to retain water into the summer, improving the seasonality of E. The simulation of daily E is largely insensitive to the details of the implementation of the pore model resistance scheme. The more physically based treatment of soil evaporation presented here eliminates the need for empirical functions that reduce evaporation as a function of soil moisture that are included in many land surface models.

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Section: Cable Model Descriptionsupporting

confidence: 83%

“…Using

q (z_{0 normals})

from equation and equating the evaporative flux from equations and , we follow the same derivation procedure as Haghighi and Or [2015, ] to find

E_{s o i l} = ρ_{a} L_{v} \frac{q_{s r f} - q_{a}}{r_{g} + \frac{z_{0 normals}}{δ} (r_{sv} + r_{BL})}

where q srf (

kg

{kg}^{- 1}

) is the specific humidity of the air in the pore space,

q_{a}

(

kg

{kg}^{- 1}

) is the specific humidity of the atmosphere, and

r_{g}

(

normals

m^{- 1}

) is the total resistance to turbulent transfer from

z_{0 s}

to d .…”

Section: Cable Model Descriptionmentioning

confidence: 99%

New turbulent resistance parameterization for soil evaporation based on a pore‐scale model: Impact on surface fluxes in CABLE

Decker

Pitman

et al. 2017

J Adv Model Earth Syst

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“…This test scale was first introduced in the late 1980s to study a class of problems related to flow, fate, and transport in the subsurface; see Oostrom et al () for review. This approach has more recently been adopted in the study of evaporation from bare soils (e.g., Haghighi & Or, , ; Trautz, ) and evapotranspiration (e.g., Trautz, Illangasekare, & Rodriguez‐Iturbe, ; Trautz, Illangasekare, Rodriguez‐Iturbe, Heck, & Helmig, ). Intermediate‐scale experimental test systems are designed so that individual processes can be isolated and their overall contributions to flow and transport quantified (Trautz, Illangasekare, & Rodriguez‐Iturbe, ).…”

Section: Methodsmentioning

confidence: 99%

“…At the fundamental process level, our current understanding of evaporation from bare soils, a complex multiphase coupled heat and mass transfer phenomenon, remains incomplete with some of the associated theories and concepts having advanced little in the decades since their initial introduction (Albertson & Parlange, ; Or et al, ). While the importance of airflow or wind on bare‐soil evaporation, for example, has long been recognized (e.g., Haghighi & Or, ; Hanks et al, ; Hanks & Woodruff, ; Ishihara et al, ; Schlünder, ) and is currently incorporated into most parameterizations and modeling schemes (e.g., Kato et al, ; Seneviratne et al, ; Zeng et al, ), its overall impact and importance under varying soil conditions is poorly understood—particularly in the context of spatiotemporal scaling. In the presence of airflow, bare‐soil evaporation falls within a special class of industrial and scientific problems involving the simultaneous transport of heat, mass, and momentum within coupled free fluid‐porous media systems (Finnigan, ; Layton et al, ; Whitaker, ).…”

Section: Introductionmentioning

confidence: 99%

Experimental Testing Scale Considerations for the Investigation of Bare‐Soil Evaporation Dynamics in the Presence of Sustained Above‐Ground Airflow

Trautz

Illangasekare

Howington

2018

Water Resources Research

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At the fundamental process level, many of the concepts that form the foundation of our understanding of bare‐soil evaporation dynamics have advanced little since their initial formation. This investigation explores experimental scaling issues that should be considered during the study of bare‐soil evaporation dynamics under conditions of sustained above‐ground airflow. Results are presented from a series of large‐scale laboratory experiments conducted for various soil conditions (i.e., heterogeneity and surface roughness). Fundamental experimental research of this nature is not feasible in the field or small laboratory columns that are limited by system control and scale. All experimentation was therefore conducted in a test facility that couples a climate‐controlled, low‐speed wind tunnel with a 7.15‐m‐long soil tank—allowing for control over soil properties and initial and boundary conditions. Measured flow phenomena supported, and agreed well with, existing wind tunnel and field study literature. These data were in turn, used to explain observed evaporative water loss and soil moisture distribution spatiotemporal trends and patterns. Results demonstrated that relatively large length scales are required for the impacts of atmospheric feedbacks on the subsurface hydrodynamics to manifest themselves and become quantifiable. Airflow had the greatest impact in the case of a flat homogeneous soil; the strength of this feedback was significantly weaker in the presence of soil heterogeneities and surface undulations that were dominated by other transport phenomena. Comparison of these results with those of past studies furthermore cautions against the use of column scale data to make generalizations about bare‐soil evaporation dynamic upscaling.

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“…Given the success of recently developed soil boundary layer resistance parametrizations [ Haghighi et al ., 2013; Haghighi , ] in advancing the predictive capabilities of atmospheric and land surface models [ Haghighi and Or , ; Decker et al ., ], here we invoke similar concepts and establish a physically based parametric ET model that explicitly incorporates how vegetation modifies airflow turbulence near partially/sparsely vegetated soil surfaces. The proposed ET model is expected to (1) deepen our understanding of physical mechanisms governing turbulent energy flux exchange in the most sensitive region for surface fluxes, (2) shed light on hidden dynamics not captured (or quantified) by direct measurements of ET, such as the nonlinearity of turbulence‐surface cover relations influencing ET‐soil moisture relationships and their thermal inferences by remote sensing, and (3) ultimately provide a physical basis for improving near‐surface boundary conditions in dual‐source ET models so that they become independent of empirical resistance terms.…”

Section: Introductionmentioning

confidence: 99%

Near‐surface turbulence as a missing link in modeling evapotranspiration‐soil moisture relationships

Haghighi

Kirchner

2017

Water Resources Research

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Despite many efforts to develop evapotranspiration (ET) models with improved parametrizations of resistance terms for water vapor transfer into the atmosphere, estimates of ET and its partitioning remain prone to bias. Much of this bias could arise from inadequate representations of physical interactions near nonuniform surfaces from which localized heat and water vapor fluxes emanate. This study aims to provide a mechanistic bridge from land‐surface characteristics to vertical transport predictions, and proposes a new physically based ET model that builds on a recently developed bluff‐rough bare soil evaporation model incorporating coupled soil moisture‐atmospheric controls. The newly developed ET model explicitly accounts for (1) near‐surface turbulent interactions affecting soil drying and (2) soil‐moisture‐dependent stomatal responses to atmospheric evaporative demand that influence leaf (and canopy) transpiration. Model estimates of ET and its partitioning were in good agreement with available field‐scale data, and highlight hidden processes not accounted for by commonly used ET schemes. One such process, nonlinear vegetation‐induced turbulence (as a function of vegetation stature and cover fraction) significantly influences ET‐soil moisture relationships. Our results are particularly important for water resources and land use planning of semiarid sparsely vegetated ecosystems where soil surface interactions are known to play a critical role in land‐climate interactions. This study potentially facilitates a mathematically tractable description of the strength (i.e., the slope) of the ET‐soil moisture relationship, which is a core component of models that seek to predict land‐atmosphere coupling and its feedback to the climate system in a changing climate.

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Linking evaporative fluxes from bare soil across surface viscous sublayer with the Monin–Obukhov atmospheric flux-profile estimates

Cited by 30 publications

References 68 publications

New turbulent resistance parameterization for soil evaporation based on a pore‐scale model: Impact on surface fluxes in CABLE

New turbulent resistance parameterization for soil evaporation based on a pore‐scale model: Impact on surface fluxes in CABLE

Experimental Testing Scale Considerations for the Investigation of Bare‐Soil Evaporation Dynamics in the Presence of Sustained Above‐Ground Airflow

Near‐surface turbulence as a missing link in modeling evapotranspiration‐soil moisture relationships

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