2.5. Momentum, Sensible Heat, and Latent Heat Fluxes¶
The zonal and meridional
momentum
fluxes (kg m-1 s-2), sensible heat flux
(W m-2), and water vapor flux
(kg m-2 s-1) between the atmosphere at
reference height
(m) [where
is height
for wind (momentum) (
), temperature (sensible heat)
(
), and humidity (water vapor) (
); with zonal and
meridional winds
and
(m
s-1), potential temperature
(K),
and specific humidity
(kg kg-1)] and the
surface [with
,
,
, and
] are
(2.5.1)¶
(2.5.2)¶
(2.5.3)¶
(2.5.4)¶
These fluxes are derived in the next section from Monin-Obukhov
similarity theory developed for the surface layer (i.e., the nearly
constant flux layer above the surface sublayer). In this derivation,
and
are defined to equal zero at height
(the apparent sink for momentum) so that
is the aerodynamic resistance (s m-1) for
momentum between the atmosphere at height
and the
surface at height
. Thus, the momentum fluxes become
(2.5.5)¶
(2.5.6)¶
Likewise, and
are defined at
heights
and
(the apparent sinks for
heat and water vapor, respectively
are the aerodynamic resistances (s m-1)
to sensible heat and water vapor transfer between the atmosphere at
heights
and
and the surface
at heights
and
, respectively. The
specific heat capacity of air
(J kg-1
K-1) is a constant (Table 2.2.7). The atmospheric potential
temperature used here is
(2.5.7)¶
where is the air temperature (K) at height
and
K
m-1 is the negative of the dry adiabatic lapse rate [this
expression is first-order equivalent to
(Stull 1988), where
is the surface pressure (Pa),
is the atmospheric pressure (Pa), and
is the gas constant for dry air (J kg-1 K-1) (Table 2.2.7)]. By definition,
. The density of moist air (kg m-3) is
(2.5.8)¶
where the atmospheric vapor pressure (Pa) is derived
from the atmospheric specific humidity
(2.5.9)¶
2.5.1. Monin-Obukhov Similarity Theory¶
The surface vertical kinematic fluxes of momentum
and
(m2 s-2), sensible heat
(K m s -1), and latent heat
(kg kg-1 m s-1), where
,
,
,
, and
are zonal horizontal wind,
meridional horizontal wind, vertical velocity, potential temperature,
and specific humidity turbulent fluctuations about the mean, are defined
from Monin-Obukhov similarity applied to the surface layer. This theory
states that when scaled appropriately, the dimensionless mean horizontal
wind speed, mean potential temperature, and mean specific humidity
profile gradients depend on unique functions of
(Zeng et al. 1998) as
(2.5.10)¶
(2.5.11)¶
(2.5.12)¶
where is height in the surface layer (m),
is the
displacement height (m),
is the Monin-Obukhov length scale (m)
that accounts for buoyancy effects resulting from vertical density
gradients (i.e., the atmospheric stability), k is the von Karman
constant (Table 2.2.7), and
is the
atmospheric wind speed (m s-1).
,
, and
are universal (over any
surface) similarity functions of
that relate the constant
fluxes of momentum, sensible heat, and latent heat to the mean profile
gradients of
,
, and
in the surface layer. In neutral conditions,
. The velocity (i.e., friction
velocity)
(m s-1), temperature
(K), and moisture
(kg kg-1) scales are
(2.5.13)¶
(2.5.14)¶
(2.5.15)¶
where is the shearing stress (kg m-1 s-2), with zonal and meridional
components
and
, respectively,
is the sensible heat flux (W m-2) and
is the water vapor flux (kg m-2 s-1).
The length scale is the Monin-Obukhov length defined as
(2.5.16)¶
where is the acceleration of gravity (m s-2)
(Table 2.2.7), and
is the reference virtual potential temperature.
indicates
stable conditions.
indicates unstable conditions.
for neutral conditions. The temperature scale
is defined as
(2.5.17)¶
where is the atmospheric potential
temperature.
Following Panofsky and Dutton (1984), the differential equations for
,
, and
can be integrated formally without
commitment to their exact forms. Integration between two arbitrary
heights in the surface layer
and
(
) with horizontal winds
and
,
potential temperatures
and
,
and specific humidities
and
results in
(2.5.18)¶
(2.5.19)¶
(2.5.20)¶
The functions ,
, and
are defined as
(2.5.21)¶
(2.5.22)¶
(2.5.23)¶
where ,
, and
are the
roughness lengths (m) for momentum, sensible heat, and water vapor,
respectively.
Defining the surface values
and the atmospheric values at
(2.5.24)¶
the integral forms of the flux-gradient relations are
(2.5.25)¶
(2.5.26)¶
(2.5.27)¶
The constraint is required simply for numerical
reasons to prevent
and
from becoming small with
small wind speeds. The convective velocity
accounts for
the contribution of large eddies in the convective boundary layer to
surface fluxes as follows
(2.5.28)¶
where is the convective velocity scale
(2.5.29)¶
is the convective boundary layer height (m), and
.
The momentum flux gradient relations are (Zeng et al. 1998)
(2.5.30)¶
The sensible and latent heat flux gradient relations are (Zeng et al. 1998)
(2.5.31)¶
To ensure continuous functions of
,
, and
, the simplest approach (i.e.,
without considering any transition regimes) is to match the relations
for very unstable and unstable conditions at
for
and
for
(Zeng et al. 1998). The flux gradient relations can be integrated to
yield wind profiles for the following conditions:
Very unstable
(2.5.32)¶
Unstable
(2.5.33)¶
Stable
(2.5.34)¶
Very stable
(2.5.35)¶
where
(2.5.36)¶
and
.
The potential temperature profiles are:
Very unstable
(2.5.37)¶
Unstable
(2.5.38)¶
Stable
(2.5.39)¶
Very stable
(2.5.40)¶
The specific humidity profiles are:
Very unstable
(2.5.41)¶
Unstable
(2.5.42)¶
Stable
(2.5.43)¶
Very stable
(2.5.44)¶
where
(2.5.45)¶
Using the definitions of ,
, and
, an iterative solution of these equations can be used to
calculate the surface momentum, sensible heat, and water vapor flux
using atmospheric and surface values for
,
, and
except that
depends on
,
, and
. However, the
bulk Richardson number
(2.5.46)¶
is related to (Arya 2001) as
(2.5.47)¶
Using
for unstable conditions and
for
stable conditions to determine
and
, the inverse relationship
can be solved to obtain a first
guess for
and thus
from
(2.5.48)¶
Upon iteration (section 2.5.3.2), the following is used to determine
and thus
(2.5.49)¶
where
The difference in virtual potential air temperature between the reference height and the surface is
(2.5.50)¶
The momentum, sensible heat, and water vapor fluxes between the surface and the atmosphere can also be written in the form
(2.5.51)¶
(2.5.52)¶
(2.5.53)¶
(2.5.54)¶
where the aerodynamic resistances (s m-1) are
(2.5.55)¶
(2.5.56)¶
(2.5.57)¶
A 2-m height “screen” temperature is useful for comparison with observations
(2.5.58)¶
where for convenience, “2-m” is defined as 2 m above the apparent sink
for sensible heat (). Similarly, a 2-m height specific
humidity is defined as
(2.5.59)¶
Relative humidity is
(2.5.60)¶
where is the saturated specific humidity at
the 2-m temperature
(section 2.5.5).
A 10-m wind speed is calculated as (note that this is not consistent with the 10-m wind speed calculated for the dust model as described in Chapter 2.31)
(2.5.61)¶
2.5.2. Sensible and Latent Heat Fluxes for Non-Vegetated Surfaces¶
Surfaces are considered non-vegetated for the surface flux calculations
if leaf plus stem area index (section
2.2.1.4). By
definition, this includes bare soil and glaciers. The
solution for lakes is described in Chapter 2.12. For these surfaces, the
surface may be exposed to the atmosphere, snow covered, and/or surface
water covered, so that the sensible heat flux
(W
m-2) is, with reference to Figure 2.5.1,
(2.5.62)¶
where ,
, and
are the exposed, snow covered, and surface water
covered fractions of the grid cell. The individual fluxes based on the
temperatures of the soil
, snow
, and
surface water
are
(2.5.63)¶
(2.5.64)¶
(2.5.65)¶
where is the density of atmospheric air (kg m-3),
is the specific heat capacity of air
(J kg-1 K-1) (Table 2.2.7),
is the atmospheric potential temperature (K), and
is the aerodynamic resistance to sensible heat transfer
(s m-1).
The water vapor flux (kg m-2 s-1) is, with reference to
Figure 2.5.2,
(2.5.66)¶
(2.5.67)¶
(2.5.68)¶
(2.5.69)¶
where is the atmospheric specific humidity (kg kg-1),
,
,
and
are the specific humidities (kg kg-1) of the soil, snow, and surface water, respectively,
is the aerodynamic resistance to water vapor transfer (s m-1), and
is the soil
resistance to water vapor transfer (s m-1). The specific humidities of the snow
and surface water
are assumed to be at the saturation specific humidity of their respective temperatures
(2.5.70)¶
(2.5.71)¶
The specific humidity of the soil surface is assumed
to be proportional to the saturation specific humidity
(2.5.72)¶
where is the saturated specific humidity at
the soil surface temperature
(section 2.5.5). The factor
is a function of the surface soil water matric
potential
as in Philip (1957)
(2.5.73)¶
where is the gas constant for water vapor (J kg-1 K-1) (Table 2.2.7),
is the
gravitational acceleration (m s-2) (Table 2.2.7), and
is the soil water matric potential of the top soil
layer (mm). The soil water matric potential
is
(2.5.74)¶
where is the saturated matric potential (mm)
(section 2.7.3.1),
is the Clapp and Hornberger (1978)
parameter (section 2.7.3.1),
and
is the wetness of the top soil layer with respect to saturation.
The surface wetness
is a function of the liquid water and ice content
(2.5.75)¶
where is the thickness of the top soil layer (m),
and
are the density of liquid
water and ice (kg m-3) (Table 2.2.7),
and
are the mass of liquid water and ice of the
top soil layer (kg m-2) (Chapter 2.7), and
is the saturated volumetric water content
(i.e., porosity) of the top soil layer (mm3 mm-3) (section 2.7.3.1). If
and
, then
and
. This
prevents large increases (decreases) in
for small
increases (decreases) in soil moisture in very dry soils.
The resistance to water vapor transfer occurring within the soil matrix
(s m-1) is
(2.5.76)¶
where is the thickness of the dry surface layer (m),
is the molecular diffusivity of water vapor in air (m2 s-2)
and
(unitless) describes the tortuosity of the vapor flow paths through
the soil matrix (Swenson and Lawrence 2014).
The thickness of the dry surface layer is given by
(2.5.77)¶
where is a parameter specifying the length scale
of the maximum DSL thickness (default value = 15 mm),
(mm3 mm-3) is the moisture value
at which the DSL initiates,
(mm3 mm-3)
is the moisture value of the top model soil layer, and
(mm3 mm-3) is the ‘air dry’ soil
moisture value (Dingman 2002):
(2.5.78)¶
where is the porosity (mm3 mm-3),
is the saturated soil matric potential (mm),
mm is the air dry matric potential, and
is a function of soil texture (section
2.7.3.1).
The soil tortuosity is
(2.5.79)¶
where (mm3 mm-3) is the air filled pore space
(2.5.80)¶
depends on temperature
(2.5.81)¶
where (K) is the temperature of the top soil layer and
(K) is the freezing temperature of water
(Table 2.2.7).
The roughness lengths used to calculate ,
, and
are
,
, and
. The
displacement height
. The momentum roughness length is
for soil, glaciers, and
for snow-covered surfaces
(
). In general,
is different from
because the transfer of momentum is affected by pressure
fluctuations in the turbulent waves behind the roughness elements, while
for heat and water vapor transfer no such dynamical mechanism exists.
Rather, heat and water vapor must be transferred by molecular diffusion
across the interfacial sublayer. The following relation from
Zilitinkevich (1970) is adopted by
Zeng and Dickinson 1998
(2.5.82)¶
where the quantity
is the roughness Reynolds number (and may be interpreted as the Reynolds number of the smallest turbulent eddy in the flow) with the kinematic
viscosity of air
m2 s-1 and
.
The numerical solution for the fluxes of momentum, sensible heat, and water vapor flux from non-vegetated surfaces proceeds as follows:
An initial guess for the wind speed
is obtained from (2.5.24) assuming an initial convective velocity
m s-1 for stable conditions (
as evaluated from (2.5.50) ) and
for unstable conditions (
).
An initial guess for the Monin-Obukhov length
is obtained from the bulk Richardson number using (2.5.46) and (2.5.48).
The following system of equations is iterated three times:
Potential temperature scale
((2.5.37) , (2.5.38), (2.5.39), (2.5.40))
Roughness lengths for sensible
and latent heat
((2.5.82) )
Virtual potential temperature scale
( (2.5.17))
Wind speed including the convective velocity,
( (2.5.24))
Monin-Obukhov length
((2.5.49))
Aerodynamic resistances
,
, and
((2.5.55), (2.5.56), (2.5.57))
Sensible heat flux
((2.5.62))
Water vapor flux
((2.5.66))
2-m height air temperature
and specific humidity
((2.5.58) , (2.5.59))
The partial derivatives of the soil surface fluxes with respect to ground temperature, which are needed for the soil temperature calculations (section 2.6.1) and to update the soil surface fluxes (section 2.5.4), are
(2.5.83)¶
(2.5.84)¶
where
(2.5.85)¶
The partial derivatives
and
, which cannot be
determined analytically, are ignored for
and
.
2.5.3. Sensible and Latent Heat Fluxes and Temperature for Vegetated Surfaces¶
In the case of a vegetated surface, the sensible heat and
water vapor flux
are partitioned into vegetation and ground
fluxes that depend on vegetation
and ground
temperatures in addition to surface temperature
and specific humidity
. Because of the
coupling between vegetation temperature and fluxes, Newton-Raphson
iteration is used to solve for the vegetation temperature and the
sensible heat and water vapor fluxes from vegetation simultaneously
using the ground temperature from the previous time step. In section
2.5.3.1, the equations used in the iteration scheme are derived. Details
on the numerical scheme are provided in section 2.5.3.2.
2.5.3.1. Theory¶
The air within the canopy is assumed to have negligible capacity to
store heat so that the sensible heat flux between the surface
at height
and the atmosphere at height
must be balanced by the sum of the sensible heat
from the vegetation
and the ground
(2.5.86)¶
where, with reference to Figure 2.5.1,
(2.5.87)¶
(2.5.88)¶
(2.5.89)¶
where
(2.5.90)¶
(2.5.91)¶
(2.5.92)¶
where is the density of atmospheric air (kg m-3),
is the specific heat capacity of air
(J kg-1 K-1) (Table 2.2.7),
is the atmospheric potential temperature (K), and
is the aerodynamic resistance to sensible heat transfer
(s m-1).
Here, is the surface temperature at height
, also referred to as the canopy air temperature.
and
are the exposed leaf and stem area indices
(section 2.2.1.4),
is the leaf boundary layer resistance (s
m-1), and
is the aerodynamic
resistance (s m-1) to heat transfer between the ground at
height
and the canopy air at height
.

Figure 2.5.1 Figure Schematic diagram of sensible heat fluxes for (a) non-vegetated surfaces and (b) vegetated surfaces.¶

Figure 2.5.2 Figure Schematic diagram of water vapor fluxes for (a) non-vegetated surfaces and (b) vegetated surfaces.¶
Equations (2.5.86) - (2.5.89) can be solved for the canopy air
temperature
(2.5.93)¶
where
(2.5.94)¶
(2.5.95)¶
(2.5.96)¶
are the sensible heat conductances from the canopy air to the atmosphere, the ground to canopy air, and leaf surface to canopy air, respectively (m s-1).
When the expression for is substituted into equation (2.5.88),
the sensible heat flux from vegetation
is a function of
,
, and
(2.5.97)¶
Similarly, the expression for can be substituted into
equation to obtain the sensible heat flux from ground
(2.5.98)¶
The air within the canopy is assumed to have negligible capacity to
store water vapor so that the water vapor flux between the
surface at height
and the atmosphere at height
must be balanced by the sum of the water vapor
flux from the vegetation
and the ground
(2.5.99)¶
where, with reference to Figure 2.5.2,
(2.5.100)¶
(2.5.101)¶
(2.5.102)¶
where
(2.5.103)¶
(2.5.104)¶
(2.5.105)¶
where is the atmospheric specific humidity (kg kg-1),
is the aerodynamic resistance to
water vapor transfer (s m-1),
(kg kg-1) is the saturation water vapor specific humidity
at the vegetation temperature (section 2.5.5),
,
, and
are the specific humidities
of the soil, snow, and surface water (section 2.5.2),
is the aerodynamic resistance (s
m-1) to water vapor transfer between the ground at height
and the canopy air at height
,
and
((2.5.76)) is a resistance to diffusion through the soil
(s m-1).
is the total resistance to
water vapor transfer from the canopy to the canopy air and includes
contributions from leaf boundary layer and sunlit and shaded stomatal
resistances
,
, and
(Figure 2.5.2).
The water vapor flux from vegetation
is the sum of water vapor flux from wetted leaf and stem area
(evaporation of water intercepted by the canopy) and
transpiration from dry leaf surfaces
(2.5.106)¶
Equations (2.5.99) - (2.5.102) can be solved for the canopy specific humidity
(2.5.107)¶
where
(2.5.108)¶
(2.5.109)¶
(2.5.110)¶
are the water vapor conductances from the canopy air to the atmosphere,
the leaf to canopy air, and ground to canopy air, respectively. The term
is determined from contributions by wet leaves and
transpiration and limited by available water and potential evaporation
as
(2.5.111)¶
where is the fraction of leaves and stems that are wet
(section 2.7.1),
is canopy water (kg m-2)
(section 2.7.1),
is the time step (s), and
is a soil moisture function limiting transpiration
(Chapter 2.9). The potential
evaporation from wet foliage per unit wetted area is
(2.5.112)¶
The term is
(2.5.113)¶
where is the fraction of leaves that are dry (section
2.7.1),
and
are the sunlit and shaded
leaf area indices (section 2.4.1), and
and
are the sunlit and shaded stomatal resistances (s
m-1) (Chapter 2.9).
When the expression for is substituted into equation (2.5.101),
the water vapor flux from vegetation
is a function of
,
, and
(2.5.114)¶
Similarly, the expression for can be substituted into
(2.5.84) to obtain the water vapor flux from the ground beneath the
canopy
(2.5.115)¶
The aerodynamic resistances to heat (moisture) transfer between the
ground at height (
) and
the canopy air at height
(
) are
(2.5.116)¶
where
(2.5.117)¶
is the magnitude of the wind velocity incident on the leaves
(equivalent here to friction velocity) (m s-1) and
is the turbulent transfer coefficient between the
underlying soil and the canopy air.
is obtained by
interpolation between values for dense canopy and bare soil
(Zeng et al. 2005)
(2.5.118)¶
where the weight is
(2.5.119)¶
The dense canopy turbulent transfer coefficient (Dickinson et al. 1993) is
(2.5.120)¶
The bare soil turbulent transfer coefficient is
(2.5.121)¶
where the kinematic viscosity of air
m2 s-1 and
.
The leaf boundary layer resistance is
(2.5.122)¶
where ms-1/2 is the turbulent
transfer coefficient between the canopy surface and canopy air, and
is the characteristic dimension of the leaves in the
direction of wind flow (Table 2.5.1).
The partial derivatives of the fluxes from the soil beneath the canopy with respect to ground temperature, which are needed for the soil temperature calculations (section 2.6.1) and to update the soil surface fluxes (section 2.5.4), are
(2.5.123)¶
(2.5.124)¶
The partial derivatives
and
, which cannot be
determined analytically, are ignored for
and
.
The roughness lengths used to calculate ,
, and
from (2.5.55), (2.5.56), and (2.5.57) are
,
, and
. The vegetation displacement height
and the roughness lengths are a function of plant height and
adjusted for canopy density following Zeng and Wang (2007)
(2.5.125)¶
(2.5.126)¶
where is canopy top height (m)
(Table 2.2.2),
and
are the ratio of momentum roughness
length and displacement height to canopy top height, respectively
(Table 2.5.1), and
is the ground momentum roughness length (m) (section
2.5.2). The
fractional weight
is determined from
(2.5.127)¶
where and
(m2 m-2) is a critical value of exposed leaf
plus stem area for which
reaches its maximum.
Plant functional type |
|
||
---|---|---|---|
NET Temperate |
0.055 |
0.67 |
0.04 |
NET Boreal |
0.055 |
0.67 |
0.04 |
NDT Boreal |
0.055 |
0.67 |
0.04 |
BET Tropical |
0.075 |
0.67 |
0.04 |
BET temperate |
0.075 |
0.67 |
0.04 |
BDT tropical |
0.055 |
0.67 |
0.04 |
BDT temperate |
0.055 |
0.67 |
0.04 |
BDT boreal |
0.055 |
0.67 |
0.04 |
BES temperate |
0.120 |
0.68 |
0.04 |
BDS temperate |
0.120 |
0.68 |
0.04 |
BDS boreal |
0.120 |
0.68 |
0.04 |
C3 arctic grass |
0.120 |
0.68 |
0.04 |
C3 grass |
0.120 |
0.68 |
0.04 |
C4 grass |
0.120 |
0.68 |
0.04 |
Crop R |
0.120 |
0.68 |
0.04 |
Crop I |
0.120 |
0.68 |
0.04 |
Corn R |
0.120 |
0.68 |
0.04 |
Corn I |
0.120 |
0.68 |
0.04 |
Temp Cereal R |
0.120 |
0.68 |
0.04 |
Temp Cereal I |
0.120 |
0.68 |
0.04 |
Winter Cereal R |
0.120 |
0.68 |
0.04 |
Winter Cereal I |
0.120 |
0.68 |
0.04 |
Soybean R |
0.120 |
0.68 |
0.04 |
Soybean I |
0.120 |
0.68 |
0.04 |
2.5.3.2. Numerical Implementation¶
Canopy energy conservation gives
(2.5.128)¶
where is the solar radiation absorbed by
the vegetation (section 2.4.1),
is the net
longwave radiation absorbed by vegetation (section 2.4.2), and
and
are the sensible and latent
heat fluxes from vegetation, respectively. The term
is
taken to be the latent heat of vaporization
(Table 2.2.7).
,
, and
depend on the vegetation temperature
. The Newton-Raphson method for finding roots of
non-linear systems of equations can be applied to iteratively solve for
as
(2.5.129)¶
where and the subscript
“n” indicates the iteration.
The partial derivatives are
(2.5.130)¶
(2.5.131)¶
(2.5.132)¶
The partial derivatives
and
, which cannot be
determined analytically, are ignored for
and
. However, if
changes sign more than four times during the temperature
iteration,
. This helps prevent “flip-flopping”
between stable and unstable conditions. The total water vapor flux
, transpiration flux
, and sensible heat
flux
are updated for changes in leaf temperature as
(2.5.133)¶
(2.5.134)¶
(2.5.135)¶
The numerical solution for vegetation temperature and the fluxes of momentum, sensible heat, and water vapor flux from vegetated surfaces proceeds as follows:
Initial values for canopy air temperature and specific humidity are obtained from
(2.5.136)¶
(2.5.137)¶
An initial guess for the wind speed
is obtained from (2.5.24) assuming an initial convective velocity
m s-1 for stable conditions (
as evaluated from (2.5.50) ) and
for unstable conditions (
).
An initial guess for the Monin-Obukhov length
is obtained from the bulk Richardson number using equation and (2.5.46) and (2.5.48).
Iteration proceeds on the following system of equations:
Aerodynamic resistances
,
, and
((2.5.55), (2.5.56), (2.5.57))
Magnitude of the wind velocity incident on the leaves
((2.5.117) )
Leaf boundary layer resistance
((2.5.136) )
Aerodynamic resistances
and
((2.5.116) )
Sunlit and shaded stomatal resistances
and
(Chapter 2.9)
Sensible heat conductances
,
, and
((2.5.94), (2.5.95), (2.5.96))
Latent heat conductances
,
, and
((2.5.108), (2.5.109), (2.5.110))
Sensible heat flux from vegetation
((2.5.97) )
Latent heat flux from vegetation
((2.5.101) )
If the latent heat flux has changed sign from the latent heat flux computed at the previous iteration (
), the latent heat flux is constrained to be 10% of the computed value. The difference between the constrained and computed value (
) is added to the sensible heat flux later.
Change in vegetation temperature
((2.5.129) ) and update the vegetation temperature as
.
is constrained to change by no more than 1ºK in one iteration. If this limit is exceeded, the energy error is
(2.5.138)¶
where . The error
is added to the sensible heat flux later.
Water vapor flux
((2.5.133) )
Transpiration
((2.5.134) if
, otherwise
)
The water vapor flux
is constrained to be less than or equal to the sum of transpiration
and the water available from wetted leaves and stems
. The energy error due to this constraint is
(2.5.139)¶
The error is added to the sensible heat
flux later.
Sensible heat flux
((2.5.135) ). The three energy error terms,
,
, and
are also added to the sensible heat flux.
The saturated vapor pressure
(Chapter 2.9), saturated specific humidity
and its derivative
at the leaf surface (section 2.5.5), are re-evaluated based on the new
.
Canopy air temperature
((2.5.93) )
Canopy air specific humidity
((2.5.107) )
Temperature difference
Specific humidity difference
Potential temperature scale
where
was calculated earlier in the iteration
Humidity scale
where
was calculated earlier in the iteration
Virtual potential temperature scale
((2.5.17) )
Wind speed including the convective velocity,
((2.5.24) )
Monin-Obukhov length
((2.5.49) )
The iteration is stopped after two or more steps if
and
where
, or after forty iterations have been carried out.
Sensible heat flux from ground
((2.5.89) )
Water vapor flux from ground
((2.5.102) )
2-m height air temperature
, specific humidity
, relative humidity
((2.5.58) , (2.5.59), (2.5.60))
2.5.4. Update of Ground Sensible and Latent Heat Fluxes¶
The sensible and water vapor heat fluxes derived above for bare soil and
soil beneath canopy are based on the ground surface temperature from the
previous time step and are used as the surface
forcing for the solution of the soil temperature equations (section
2.6.1). This solution yields a new ground
surface temperature
. The ground sensible and water
vapor fluxes are then updated for
as
(2.5.140)¶
(2.5.141)¶
where and
are the sensible heat and water
vapor fluxes derived from equations and for non-vegetated surfaces and
equations and for vegetated surfaces using
. One
further adjustment is made to
and
. If
the soil moisture in the top snow/soil layer is not sufficient to
support the updated ground evaporation, i.e., if
and
where
(2.5.142)¶
an adjustment is made to reduce the ground evaporation accordingly as
(2.5.143)¶
The term
is the sum of
over all evaporating PFTs where
is the ground evaporation from the
PFT on the column,
is the
relative area of the
PFT with respect to the column, and
is the number of PFTs on the column.
and
are the ice and
liquid water contents (kg m-2) of the top snow/soil layer
(Chapter 2.7). Any resulting energy deficit is assigned
to sensible heat
as
(2.5.144)¶
The ground water vapor flux is partitioned into evaporation
of liquid water from snow/soil
(kgm-2 s-1),
sublimation from snow/soil ice
(kg m-2 s-1),
liquid dew on snow/soil
(kg m-2 s-1), or
frost on snow/soil
(kg m-2 s-1) as
(2.5.145)¶
(2.5.146)¶
(2.5.147)¶
(2.5.148)¶
The loss or gain in snow mass due to ,
,
, and
on a snow
surface are accounted for during the snow hydrology calculations
(Chapter 2.8). The loss of soil and surface water due to
is accounted for in the calculation of infiltration
(section 2.7.2.3), while losses or gains due to
,
, and
on a soil surface are
accounted for following the sub-surface drainage calculations (section
2.7.5).
The ground heat flux is calculated as
(2.5.149)¶
where is the solar radiation absorbed by
the ground (section 2.4.1),
is the net
longwave radiation absorbed by the ground (section 2.4.2)
(2.5.150)¶
where
(2.5.151)¶
and and
are the sensible and
latent heat fluxes after the adjustments described above.
When converting ground water vapor flux to an energy flux, the term
is arbitrarily assumed to be
(2.5.152)¶
where and
are the latent
heat of sublimation and vaporization, respectively (J
(kg-1) (Table 2.2.7). When converting vegetation water vapor
flux to an energy flux,
is used.
The system balances energy as
(2.5.153)¶
2.5.5. Saturation Vapor Pressure¶
Saturation vapor pressure (Pa) and its derivative
, as a function of temperature
(ºC), are calculated from the eighth-order polynomial fits of
Flatau et al. (1992)
(2.5.154)¶
(2.5.155)¶
where the coefficients for ice are valid for
and the
coefficients for water are valid for
(Table 2.5.2 and
Table 2.5.3).
The saturated water vapor specific humidity
and its derivative
are
(2.5.156)¶
(2.5.157)¶
water |
ice |
||
---|---|---|---|
6.11213476 |
6.11123516 |
||
4.44007856 |
|||
1.43064234 |
|||
2.64461437 |
|||
3.05903558 |
|||
1.96237241 |
|||
8.92344772 |
|||
-3.73208410 |
|||
2.09339997 |
water |
ice |
|
---|---|---|
4.44017302 |
5.03277922 |
|
2.86064092 |
3.77289173 |
|
7.94683137 |
1.26801703 |
|
1.21211669 |
2.49468427 |
|
1.03354611 |
3.13703411 |
|
4.04125005 |
2.57180651 |
|
-7.88037859 |
1.33268878 |
|
-1.14596802 |
3.94116744 |
|
3.81294516 |
4.98070196 |