Comments on “Improving the Numerical Simulation of Soil Moisture–Based Richards Equation for Land Models with a Deep or Shallow Water Table”

Gerrit H. de Rooij Department of Soil Physics, Helmholtz Centre for Environmental Research–UFZ, Halle (Saale), Germany

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Corresponding author address: Gerrit H. de Rooij, Department of Soil Physics, Helmholtz Centre for Environmental Research–UFZ, Theodor-Lieser-Strasse 4, D-06120 Halle (Saale), Germany. Email: gerrit.derooij@ufz.de

Corresponding author address: Gerrit H. de Rooij, Department of Soil Physics, Helmholtz Centre for Environmental Research–UFZ, Theodor-Lieser-Strasse 4, D-06120 Halle (Saale), Germany. Email: gerrit.derooij@ufz.de

1. Introduction

Zeng and Decker (2009, hereafter ZD09) recently discussed the effect of truncation errors in a numerical solution of Richards equation often used to model vertical soil water flow in land models for weather and climate studies. They adopted a cross-disciplinary approach by applying an established meteorological method to a soil physical problem. Their solution involved subtracting from the original equation the solution at hydrostatic equilibrium in order to eliminate the truncation errors.

There is some confusion in the terminology and in the treatment of Richards equation in ZD09. This comment is intended to clarify these issues since they can create misunderstandings in the communications between the various disciplines involved in the work of ZD09. More seriously, the averaging equation for the matric head presented in ZD09 does not conserve energy and the expression for the average water content suffers from mathematically undefined terms that preclude its numerical evaluation for physically acceptable values. The derivation is presented here of a complete set of energy-conserving averaging equations that can replace those of ZD09. Finally, the point is made that ZD09 effectively implemented a much-needed constant head lower boundary condition for soil water flow in their land model. The improvement of the simulation results may well be attributable to this boundary condition instead of the modification of Richards’ equation.

2. Unsaturated flow: Theory and terminology

a. Water table depth

The water table depth in ZD09 is defined as the depth in the soil where the matric head ψ (units of length) is equal to the soil’s air-entry value ψsat. In soil physics, this depth would usually be labeled the top of the capillary fringe, as it indicates the depth below which all pores are filled with water. However, if a monitoring well is installed (usually a perforated tube of such radius that capillary rise within it is negligible), the water level in this well would be located at the depth where the matric head is zero, since the water is at atmospheric pressure at that depth. This is the formal definition of the groundwater table that separates soil water from groundwater, and which is used in both soil physics and groundwater hydrology. It is obviously lower than the level where ψ = ψsat. At hydrostatic equilibrium, the thickness of the capillary fringe, in which the soil is saturated but the water is at subatmospheric pressure, is equal to −ψsat. The difference between the definitions for groundwater levels used by ZD09 and the groundwater community may become an issue if groundwater levels derived from water levels in monitoring wells are used as input for ZD09’s model.

Note that, in the capillary fringe as well as in the groundwater, the volumetric water content θ does not depend on ψ, and / is necessarily zero if the porous matrix is assumed inelastic. Of course the depth of ψ = ψsat can vary with time, and as soon as air enters pores that were previously saturated, that part of the soil no longer is part of the capillary fringe or the groundwater domain. In the following we retain ZD09’s notation zw (units of length) for the level of the top of the capillary fringe, and use zp for the phreatic level.

b. Richards equation: Water-content-based form and mixed form

Equation (1) of ZD09 contains both the volumetric water content and the matric head. It is therefore termed the mixed form of Richards equation, not the water-content-based form, as ZD09 suggest (see Jury et al. 1991, 105–107 for the relation between the various forms of Richards equation). The crucial property of this equation is that the flux density is proportional to the gradient in the hydraulic head through Darcy’s Law:
i1525-7541-11-4-1044-e1
in which the notation is taken from ZD09. In the θ-based form, the gradient of θ is used:
i1525-7541-11-4-1044-e2
with D [units of (length)2 (time)−1] the soil water diffusivity, which can be expressed as K(/) (Hillel 1998, p. 216) The term / is the slope of the soil water characteristic defined by Eq. (5) of ZD09 (or any other expression one chooses). Below zw, both gradients in Eq. (2) are zero, and the θ-based form of Darcy’s Law is of no use.
In contrast, the hydraulic head gradient is equally well defined in the saturated and unsaturated zones of a soil. Since ZD09 ignore hysteresis, the conversion of their Eq. (1) to the matric head–based form is straightforward: it requires the expansion of the storage change term:
i1525-7541-11-4-1044-e3
where t denotes time. Given the remarks above about the behavior of / below the depth where ψ = ψsat, Eq. (3) implies that in the capillary fringe and in the groundwater, the temporal gradient (∂θ/∂t) vanishes and the solution to the flow equation for time-varying boundary conditions becomes a sequence of steady-state solutions: the saturated system responds instantaneously to changes in the boundary conditions. By taking this into account, model codes based on Richards equation can adequately handle saturated-unsaturated flow, as is well documented in the literature. The appearance of a time derivative of θ does not affect its applicability to saturated regions.

ZD09’s objections against the use of the θ-based form of Richards equation for partially saturated soils hold only for the strictly θ-based form derived by combining the mass balance of a elementary volume with the θ-based version of Darcy’s Law [Eq. (2)]. Because the gradients in Eq. (2) vanish in saturated soils while flow remains possible, the purely θ-based form becomes invalid there; this θ-based version of the equation is not considered by ZD09.

c. Relationship between Darcy’s Law and Richards equation

Contrary to the suggestion of the statement preceding Eq. (6) in ZD09, Richards equation [Eq. (1) in ZD09] can be derived by combining the mass balance with Darcy’s Law [Eq. (2) in ZD09] (see e.g., Jury et al. 1991, p. 105). One therefore does not solve ZD09’s Eqs. (1) and (2) simultaneously, but only Eq. (1) subject to initial and boundary conditions, since Eq. (1) of ZD09 already incorporates their Eq. (2).

Note, incidentally, that ZD09’s equation for gravitational drainage [Eq. (4) in ZD09] and their alternative formulation of Darcy’s Law [Eq. (14) in ZD09] lack a minus sign. For gravitational drainage, the vertical gradient in the matric head (∂ψ/∂z) equals zero, and the flow is strictly gravity driven, with the gradient in the gravitational head equal to 1 (hence the frequently used term “unit-gradient flow”) since the vertical coordinate z is defined positive upward. With the flux opposite to the gradient, it follows from Darcy’s Law that qb = −K(zb) (the subscript b indicates the lower boundary of the model domain). The minus sign correctly indicates that the flow is downward.

d. The lower boundary condition

The unit-gradient lower boundary condition [Eq. (4) in ZD09] is typically invoked when groundwater is too deep to affect the hydraulic head in the model domain. The condition forces a perpetual but nonconstant downward flux at zb, thereby draining the profile. The motivation for this boundary condition lies in the damping deeper in the profile of the infiltration/evapotranspiration forcing that takes place at the soil surface. The amplitude of the fluctuations between upward and downward fluxes reduces with depth, until it eventually becomes zero and the downward flux density is equal to the long-term net infiltration. The profile dries to the point where the hydraulic conductivity deep in the profile is equal to that net-infiltration rate. Figures 3–6 in ZD09 show the tendency toward that steady-state flow, but the runs were too short to achieve it.

From the above it is clear that relying on the unit-gradient boundary condition when the groundwater table is shallow is not warranted, and ZD09 provide ample proof of simulations producing unrealistic results as a consequence of the ill-advised use of this boundary condition. Zero flux at the lower boundary is not always realistic either, as ZD09 correctly state. ZD09 present their Eq. (14) as a novel boundary condition. If we add the missing minus sign and replace ψE by Cz according to ZD09’s Eq. (7), this boundary condition reduces to Darcy’s Law, evaluated at zb.

However, with Richards equation [ZD09’s Eq. (1) and its equivalent Eq. (11a)] being a second-order partial differential equation, its solution requires boundary conditions that prescribe the dependent variable, its gradient, or a linear combination of both. Equation (14) of ZD09 is none of these and therefore does not constitute a mathematically valid boundary condition. But the text preceding ZD09’s Eq. (14) is enlightening: it explains that Eq. (14) of ZD09 arises from prescribing a hydraulic head at a given depth below zb. Such a prescribed head does represent a valid boundary condition, and is aptly named fixed-head boundary condition in the groundwater literature. As ZD09 correctly state, it allows an exchange of water in two directions across the boundary for which it is defined.

This boundary condition can, and probably should, be implemented in land models. But that can be done directly by specifying a suitable hydraulic head at zb (which can be derived from a specified groundwater level if hydrostatic equilibrium is assumed between zp and zb). The implementation by ZD09, through an additional model layer below the model domain, is cumbersome and cloaks the true nature of the boundary condition, but it seems to be the best way to introduce it in their land model.

For areas where the phreatic aquifer can easily discharge into a sufficiently dense surface water network and the climate ensures a precipitation surplus, the phreatic level may vary little, making the fixed-head boundary condition valid, even if the prescribed head is constant over time. The annual net infiltration is then entirely converted to river discharge (and perhaps recharge to deeper aquifers) because the storage change in the aquifer is zero. Under less favorable conditions, the fixed-head lower boundary condition can produce unacceptable amounts of groundwater recharge or capillary flow into the soil if applied to the scale of climate models. Nevertheless, this type of boundary condition is potentially very valuable for land models. If the need arises, the magnitude of the fluxes passing zb can be manipulated by varying K(zb) in the calibration mode. Also, by prescribing the hydraulic head directly at zb (possibly requiring modifications in the model code), it can be made time dependent (to reflect seasonal and other variations) in a transparent way.

3. Averaging of the water content and matric head over depth

To determine the average water content and matric potential within grid cells, ZD09 first average θ and then directly apply the local θ(ψ) relationship to the average water content to estimate the average ψi of grid cell i. This approach conserves mass during the averaging operation but fails to conserve energy. Obviously, any averaging operation for any type of application should neither create nor destroy energy or mass (e.g., Gray 2002), but schemes intended for operation on large areas involving vast quantities of water should be particularly meticulous in obeying the fundamental conservation laws.

The matric head ψ represents potential energy of the soil solution expressed by weight (e.g., Hillel 1998, p. 153). To conserve energy, averaging over a soil volume (or, in one dimension, over a depth interval) therefore requires the local values of ψ to be weighted by the weight ρgθ of the local water (with ρ as the density of the soil solution and g the gravitational acceleration). If the soil solution is assumed to have uniform density (incompressible fluid, isothermal conditions), this simplifies to weighting by θ (de Rooij 2009). The general expression for the average of ψ over a depth interval then becomes
i1525-7541-11-4-1044-e4
where the overbar denotes an average, subscript i indicates the depth interval, and the notational convention of the limits of depth interval i was adopted from ZD09. For zi−1/2zw (the entire interval above the capillary fringe) and at hydrostatic equilibrium we have:
i1525-7541-11-4-1044-e5
where θE(z) indicates the equilibrium water content at z, in accordance with ZD09’s notation. For zi+1/2zw (the entire interval in or below the capillary fringe) we have for uniform saturated water content θsat:
i1525-7541-11-4-1044-e6
For zi−1/2 < zw < zi+1/2 (top of the capillary fringe within the depth interval) we note that, at hydrostatic equilibrium, zw = zpψsat. The correct value of ψi is found by computing averages for the unsaturated and saturated regions from Eqs. (5) and (6), respectively, by using the appropriate integration boundaries, and subsequently averaging those averages by weighting by the amounts of water in both regions:
i1525-7541-11-4-1044-e7
Equations (5)(7) rely on a uniform saturated water content but are flexible with respect to the choice of the soil water characteristic. ZD09 employ Clapp and Hornberger’s (1978) expression [see Eq. (5) of ZD09]:
i1525-7541-11-4-1044-e8
Inverting this relationship and making use of the hydrostatic equilibrium condition, ψE = zpz, yields
i1525-7541-11-4-1044-e9
With this we can evaluate the integral of θE in Eq. (5) to find the average water content θi for regions above the capillary fringe:
i1525-7541-11-4-1044-e10
Note that this equation is a correction of Eq. (9) of ZD09. The equation derived here avoids negative numbers raised to noninteger powers [every power term in ZD09’s Eq. (9)], which cannot be evaluated. Combining Eqs. (5), (9), and (10) gives the average matric head in a depth interval above the capillary fringe:
i1525-7541-11-4-1044-e11a
If ZD09’s Eqs. (8) and (9) are combined, a different expression for ψi above the capillary fringe can be found, but this equation too suffers from terms that cannot be evaluated. Combining ZD09’s Eq. (8) instead with the correct expression for θi, Eq. (10) above, yields an estimate of ψi based directly on θi without conserving energy:
i1525-7541-11-4-1044-e11b
The average matric head for a depth interval that includes the top of the capillary fringe can be found by combining Eqs. (7), (10) (with adjusted integration boundaries), and (11a):
i1525-7541-11-4-1044-e12
For completeness, the expression for the average water content of a depth interval enclosing the top of the capillary fringe is also given:
i1525-7541-11-4-1044-e13

In summary, the average matric head is given by Eq. (6) for saturated regions of the soil, by Eq. (11a) for unsaturated regions, and by Eq. (12) for partially saturated regions. The average water content is simply θsat for saturated regions, is given by Eq. (10) for unsaturated regions, and is given by Eq. (13) for partially saturated regions. Although these equations are somewhat more elaborate than those of ZD09 they possess the same qualities: they are explicit and rely on the same parameters as ZD09’s equations. Their implementation should therefore be equally straightforward. The distinct advantage of Eqs. (6), (11a), and (12) and Eqs. (10) and (13) is their applicability anywhere in the profile and their accuracy irrespective of the grid size. In contrast, ZD09’s Eq. (8) for ψi breaks down if a grid cell contains even the smallest saturated region, and is expected to perform poorer with increasing gridcell size.

The performance of the equations for ψi is demonstrated in Fig. 1 for the soil used by ZD09 (a clay loam), and for a Dutch dune sand (de Rooij 1995) to which the parameter vector (θsat, ψsat, B)=(0.410, −0.265 m, 0.889) of Clapp and Hornberger (1978) was fitted. For both cases, a hydrostatic moisture profile was calculated with the groundwater at 4-m depth. The approximation by ZD09 is quite accurate, even in the sandy soil. Its main problem is the limited range of applicability. Below zw (−3.77 m for the clay loam and −3.73 m for the sand), the equation cannot be evaluated, which leaves out 25% of the profile for a 1-m cell size, and the exact single-cell value (which represents the θ-weighted matric head above the groundwater table) cannot be calculated by ZD09’s equation at all. Note that ψi for a single cell of 4-m height is much higher for sand than it is for clay loam. This reflects the fact that a large fraction of the water in the coarse textured sand is stored in large pores at high matric head. The finer pores of the clay loam can retain much more water at lower matric heads: for the sand, the water content at 1 m above the groundwater table is only 0.09; for ZD09’s soil, the water content still is 0.32 at 4 m above the groundwater table.

4. The source of the mass-balance errors

a. Hydrostatic equilibrium simulations

Figure 2 in ZD09 shows initial moisture profiles that are consistent with the depths of the capillary fringe specified on input (termed water table depths by ZD09). The authors ran the Community Land Model version 3 (CLM3) with these initial conditions while implementing zero flux as the top and bottom boundary conditions. This implies that the profile should converge to hydrostatic equilibrium. Since the initial soil profiles reflected the hydrostatic equilibrium profiles, the nodal water content changes should be minimal, only reflecting minor round-off errors. The moisture profiles in Fig. 2 instead show a dramatic drying, as they evolve toward another hydrostatic equilibrium profile. ZD09 state that the mass-conservative numerical scheme somehow manufactures water contents in excess of θsat. Such extreme values usually indicate numerical oscillations, and the possibility therefore exists that the calculated water contents elsewhere in the profile are too low (although not necessarily smaller than zero). This is to be expected if the numerical scheme is indeed mass conservative, as ZD09 state. By removing the excess water as runoff (by topping-off down to θsat or lower), the positive oscillations are corrected while the negative oscillations are allowed to exert their full effect on the total storage in the profile. This could explain the profound drying visible in Fig. 2 of ZD09, but it is not clear why the drying stops when zw reaches the top of the lowest grid cell.

The cause of these oscillations is not immediately clear since the simulations started with and should convert to hydrostatic equilibrium without any flow occurring. The fact that the excessive drying only occurred when the top of the capillary fringe was within the model domain may point to convergence problems related to the singularity at ψsat, where the soil water characteristics of Clapp and Hornberger (1978) and Brooks and Corey (1964) are nondifferentiable. The grid size and/or the time step may have been excessively large around zw to adequately deal with this. Unfortunately, Oleson et al. (2004) do not provide details of the iteration scheme of their Richards’ solver and the criteria used in CLM3 to modify the iteration process (e.g., by changing the time step or stopping the program if some set of convergence criteria is not satisfied).

b. The modified Richards equation

The benefits of subtracting the solution for hydrostatic equilibrium from Richards’ equation are not apparent from the structure of the equation [ZD09’s Eq. (1)]. From the equation preceding Eq. (11) in ZD09 it is clear that the same constant is subtracted from the hydraulic head at any depth. Since Richards equation only requires the gradient of the hydraulic head, changing it by a constant has no effect. This can also be seen from the fact that one can define the z coordinate with respect to an arbitrary but constant elevation (ZD09 implicitly define z=0 at the soil surface). The choice of this reference elevation obviously affects the magnitude of the gravitational head, but since only gradients are required, this is immaterial.

When simulations are nonsteady and the groundwater level changes, the hydrostatic equilibrium hydraulic head that is to be subtracted from the actual head should be updated for every time step. Even then, the numerical equivalence of the original and modified versions of Richards’ equation is unlikely to be compromised because the spatial gradients, which are not affected, are evaluated within and not between the time steps. It is crucial that the matric head is not affected by the operation because that would change the water content and the hydraulic conductivity in the unsaturated part of the soil. Thus, subtracting an equilibrium value only modifies the gravitational head, as Eq. (11) of ZD09 confirms. This implies that the subtraction of the hydraulic head corresponding to hydrostatic equilibrium is entirely equivalent to changing the reference height for the gravitational head, and of no consequence for the numerical solution.

The question then remains why the simulations based on the “corrected” Richards equation suddenly produce the expected output. Since the cause of the errors apparent in Fig. 2 of ZD09 remains unclear, this question cannot not be addressed with certainty without access to the original numerical code and the input files. But together with the modified Richards equation, the new fixed-head boundary condition is introduced. This boundary condition not only permits fluxes through the lower boundary but also places zw, and thus the singularity at ψsat, below the model domain. Therefore, the improvement in the results may be due to the new boundary condition, since earlier simulations with zw below zb gave correct results (ZD09’s Fig. 1). This view is supported by ZD09’s statement in their section 4 that “if the same free drainage bottom boundary condition is applied, the use of the original or modified form of the Richards equation does not make much difference.” In the next paragraph the authors state that the fixed-head boundary condition is important in resolving the mass balance problems, but needs to be used in conjunction with the modified Richards equation to achieve its full effect. The paper does not offer direct evidence for these additional benefits in a test that separates the effect of the new boundary condition from that of the modified Richards equation.

c. Constant flux density simulations

ZD09 report that the soil model cannot handle high infiltration and drainage flux densities. These high flow rates were imposed on a soil initially at hydrostatic equilibrium, with a fairly dry top soil. Modeling such an infiltration process is numerically challenging even for the most sophisticated unsaturated flow models, so the reported numerical difficulties are not surprising, given the coarse discretization. Interestingly, the modified version of Richards equation performs poorly below 1.75-m depth (ZD09’s Fig. 7). For the largest infiltration rate, q is still smaller than the saturated hydraulic conductivity, and the steady-state solution should therefore maintain an unsaturated soil profile. ZD09 nevertheless report water contents in excess of saturation for both version of Richards’ equation, indicating numerical instabilities that may have arisen from the nature of the flow problem in combination with the numerical discretization, rather than the singularity of the soil water characteristic.

5. Conclusions

The analysis by ZD09 appears to point to problems in the numerical solution of Richards equation, possibly triggered by the nondifferentiable singularity in the soil water characteristic at ψsat. Together with a modified Richards equation to solve this problem, ZD09 introduce a new lower boundary condition, which is shown here to be a fixed-head condition. This type of boundary condition can be of considerable value in land models. The superior performance of the modified Richards equation may be linked to the fact that the current formulation of the fixed-head boundary condition removes the singularity in the soil water characteristic from the simulated section of the soil profile.

Averaging water contents and matric heads over vertical intervals in the soil and the groundwater can and should be done in such a way that both mass and potential energy of the water are conserved in the averaging operations. A complete set of equations is presented here that ensures this conservation of mass and energy, and hopefully will be used in place of Eqs. (8) and (9) of ZD09. In addition, one equation in ZD09 contained terms that cannot be evaluated, and a corrected version is provided.

A more direct implementation of the fixed-head lower boundary condition is proposed as an alternative for the zero flux and unit-gradient boundary conditions. ZD09 mostly compared the tandem of the conventional Richards’ equation with the unit-gradient lower boundary condition [ZD09’s Eq. (1) and (4)] to the tandem of the modified Richards equation with the fixed-head lower boundary condition [ZD09’s Eq. (11) and (14)]. Prescribing the hydraulic head directly at zb would facilitate an easier and more valid comparison between the original and modified version of Richards equation by allowing it to implement all combinations of boundary conditions and versions of Richards equation.

REFERENCES

  • Brooks, R. H., and Corey A. T. C. , 1964: Hydraulic properties of porous media. Colorado State University Hydrology Papers 3, 27 pp.

  • Clapp, R. B., and Hornberger G. M. , 1978: Empirical equations for some hydraulic properties. Water Resour. Res., 14 , 601604.

  • de Rooij, G. H., 1995: A three-region analytical model of solute leaching in a soil with a water-repellent top layer. Water Resour. Res., 31 , 27012707.

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  • de Rooij, G. H., 2009: Averaging hydraulic head, pressure head, and gravitational head in subsurface hydrology, and implications for averaged fluxes, and hydraulic conductivity. Hydrol. Earth Syst. Sci., 13 , 11231132.

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    • Search Google Scholar
    • Export Citation
  • Gray, W. G., 2002: On the definition and derivatives of macroscale energy for the description of multiphase systems. Adv. Water Resour., 25 , 10911104.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hillel, D., 1998: Environmental Soil Physics. Academic Press, 771 pp.

  • Jury, W. A., Gardner W. R. , and Gardner W. H. , 1991: Soil Physics. 5th ed. John Wiley & Sons, 328 pp.

  • Oleson, K. W., and Coauthors, 2004: Technical description of the Community Land Model (CLM). NCAR Tech. Note NCAR/TN-461+STR, 173 pp.

  • Zeng, X., and Decker M. , 2009: Improving the numerical solution of soil moisture–based Richards equation for land models with a deep or a shallow water table. J. Hydrometeor., 10 , 308319.

    • Crossref
    • Search Google Scholar
    • Export Citation

Fig. 1.
Fig. 1.

Values of the average matric head in two 4-m-thick profiles of uniform soils divided into equally sized grid cells. The number of grid cells used is indicated in the legend. The exact solutions are based on weighting the matric head at any depth by the volumetric water content at that depth. The label ZD09 refers to an approximation [Eq. (10)] based on ZD09’s scheme. The vertical coordinate z is positive upward and zero at the soil surface. Calculated values for individual cells are plotted at the depth of the cell’s center.

Citation: Journal of Hydrometeorology 11, 4; 10.1175/2010JHM1189.1

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  • Brooks, R. H., and Corey A. T. C. , 1964: Hydraulic properties of porous media. Colorado State University Hydrology Papers 3, 27 pp.

  • Clapp, R. B., and Hornberger G. M. , 1978: Empirical equations for some hydraulic properties. Water Resour. Res., 14 , 601604.

  • de Rooij, G. H., 1995: A three-region analytical model of solute leaching in a soil with a water-repellent top layer. Water Resour. Res., 31 , 27012707.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • de Rooij, G. H., 2009: Averaging hydraulic head, pressure head, and gravitational head in subsurface hydrology, and implications for averaged fluxes, and hydraulic conductivity. Hydrol. Earth Syst. Sci., 13 , 11231132.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gray, W. G., 2002: On the definition and derivatives of macroscale energy for the description of multiphase systems. Adv. Water Resour., 25 , 10911104.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hillel, D., 1998: Environmental Soil Physics. Academic Press, 771 pp.

  • Jury, W. A., Gardner W. R. , and Gardner W. H. , 1991: Soil Physics. 5th ed. John Wiley & Sons, 328 pp.

  • Oleson, K. W., and Coauthors, 2004: Technical description of the Community Land Model (CLM). NCAR Tech. Note NCAR/TN-461+STR, 173 pp.

  • Zeng, X., and Decker M. , 2009: Improving the numerical solution of soil moisture–based Richards equation for land models with a deep or a shallow water table. J. Hydrometeor., 10 , 308319.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fig. 1.

    Values of the average matric head in two 4-m-thick profiles of uniform soils divided into equally sized grid cells. The number of grid cells used is indicated in the legend. The exact solutions are based on weighting the matric head at any depth by the volumetric water content at that depth. The label ZD09 refers to an approximation [Eq. (10)] based on ZD09’s scheme. The vertical coordinate z is positive upward and zero at the soil surface. Calculated values for individual cells are plotted at the depth of the cell’s center.

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