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Subsections
The method employed in the CAM 3.0 to represent longwave radiative
transfer is based on an absorptivity/emissivity formulation
[138]
where
is the Stefan-Boltzmann
relation. The pressures and refer to the top of the model
and the surface, respectively. and are the
absorptivity and emissivity
where the integration is over wavenumber .
is the Planck function, and
is the
atmospheric transmission. Thus, to solve for fluxes at each model
layer we need solutions to the following:
|
(4.233) |
where is the Planck function for the
emissivity, or the derivative of the Planck function with respect to
temperature for the absorptivity.
The general method employed for the solution of (4.233) for a
given gas is based on the broad band model approach described by
Kiehl and Briegleb [87] and Kiehl and Ramanathan [93]. This approach is based on the
earlier work of Ramanathan [136]. The broad band approach assumes
that the spectral range of absorption by a gas is limited to a
relatively small range in wavenumber , and hence can be evaluated
at the band center, i.e.
|
(4.234) |
where is the band absorptance (or equivalent
width) in units of cm. Note that , in general, is a
function of the absorber amount, the local emitting temperature, and
the pressure. Thus, the broad band model is based on finding analytic
expressions for the band absorptance. Ramanathan [136] proposed
the following functional form for :
|
(4.235) |
where is an empirical constant. is the
scaled dimensionless path length
|
(4.236) |
where is the band strength, is the mass
mixing ratio of the absorber, and is the density of
air. is a line width factor,
|
(4.237) |
where is the mean line halfwidth for the
band, is the atmospheric pressure, is a reference pressure,
and is the mean line spacing for the band. The determination of
, , from spectroscopic line databases, such as the
FASCODE database, is described in detail in
Kiehl and Ramanathan [93]. Kiehl and Briegleb [87] describe how (4.235) can be
extended to account for sub-bands within a spectral
region. Essentially, the argument in the log function is replaced by a
summation over the sub-bands. This broad band formalism is employed
for CO, O, CH, NO, and minor absorption bands of
CO, while for the CFCs and stratospheric aerosols we employ the
exponential transmission approximation discussed by
Ramanathan et al. [139]
|
(4.238) |
where is the band width, and is the
absorber path length
|
(4.239) |
and is a diffusivity factor. The final problem that must be
incorporated into the broad band method is the overlap of one or more
absorbers within the same spectral region. Thus, for the wavenumber
range of interest, namely 500 to 1500 cm, the radiative flux is
determined in part by the integral
|
(4.240) |
which can be re-formulated for given sub intervals in
wavenumber as
The factors
represent the transmissions through
stratospheric volcanic aerosols. The transmissions in each band
are replaced by effective transmissions
given by:
|
(4.242) |
where is the diffusivity factor,
is an
effective specific extinction for the band, and is the mass
path of the volcanic aerosols. For computing overlap with minor absorbers,
methane, and carbon dioxide, the volcanic extinctions are computed
for five wavenumber intervals given in table 4.2.
The transmissions for overlap with the broadband absorption by water vapor are
defined in equation 4.275. The volcanic transmission for the
798 cm band of NO is
|
(4.243) |
Table 4.2:
Wavenumber
Intervals for Volcanic Specific Extinctions
Index |
|
1 |
500 - 650 |
2 |
650 - 800 |
3 |
800 - 1000 |
4 |
1000 - 1200 |
5 |
1200 - 2000 |
The sub-intervals in equation 4.241, in turn, can be reformulated in terms of the
absorptance for a given gas and the ``overlap'' transmission factors
that multiply this transmission. Note that in the broad band
formulation there is an explicit assumption that these two are
uncorrelated (see Kiehl and Ramanathan [93]). The specific parameterizations for
each of these sub-intervals depends on spectroscopic data particular
to a given gas and absorption band for that absorber.
Details of the parameterization for the three major absorbers, HO,
CO and O, are given in Collins et al. [40], Kiehl and Briegleb [87],
and Ramanathan and Dickinson [137], respectively. Therefore, we only provide a
brief description of how these gases are treated in the CAM 3.0. Note
that the original parameterization for HO by Ramanathan and Downey [138]
has been replaced a new formulation in CAM 3.0.
For CO
|
(4.244) |
is evaluated for
cm, where
is the broad-band absorptance from
Kiehl and Briegleb [87]. Similarly,
|
(4.245) |
For ozone,
where is the ozone broad-band absorptance from
Ramanathan and Dickinson [137]. The longwave absorptance formulation includes a
Voigt line profile effects for CO and O. For the mid-to-upper
stratosphere (
mb), spectral absorption lines are no
longer Lorentzian in shape. To account for the transition to Voigt
lines a method described in Kiehl and Briegleb [87] is employed. Essentially
the pressure appearing in the mean line width parameter, ,
where
for CO and
for . These values insure agreement with
line-by-line cooling rate calculations up to
mb.
4.9.2 Water vapor
Water vapor cannot employ the broad-band absorptance method since
HO absorption extends throughout the entire longwave region.
Thus, we cannot factor out the Planck function dependence as in
(4.234). The method of
Collins et al. [40] is used for water-vapor absorptivities and
emissivities. This parameterization replaces the scheme developed by
Ramanathan and Downey [138] used in previous versions of the model. The new
formulation uses the line-by-line radiative transfer model GENLN3
[57] to generate the absorptivities and emissivities for
HO. In this version of GENLN3, the parameters for HO lines
have been obtained from the HITRAN2k data base [153], and
the continuum is treated with the Clough, Kneizys, and Davies (CKD)
model version 2.4.1 [33]. To generate the absorptivity and
emissivity, GENLN is used to calculate the transmission through
homogeneous atmospheres for HO lines alone and for HO lines
and continuum. The calculation is done for a five dimensional
parameter space with coordinates equaling the emission temperature,
path temperature, precipitable water, effective relative humidity, and
pressure. The limits for each coordinate span the entire range of
instantaneous values for the corresponding variable from a 1-year
control integration of CAM 3.0. The resulting tables of absorptivity
and emissivity are then read into the model for use in the longwave
calculations. The overlap treatment between water vapor and other
gases is described in Ramanathan and Downey [138].
The absorptivity and emissivity can be split into terms for the window
and non-window portions of the infrared spectrum. The window is
defined as 800-1200 cm, and the non-window is the remainder
of the spectrum between 20 to 2200 cm. Outside the
mid-infrared window (the so-called non-window region), the HO continuum is dominated by the foreign component [34]. The
foreign continuum absorption has the same linear scaling with water
vapor path as line absorption, and thus in the non-window region the
line and continuum absorption are combined in a single expression. In
the window region, where the self-broadened component of the continuum
is dominant, the line and continuum absorption have different scalings
with the amount of water vapor and must be treated separately. The
formalism is identical for the absorptivity and emissivity, and for
brevity only the absorptivity is discussed in detail. The
absorptivity is decomposed into two terms:
|
(4.250) |
where
is the window component and
is the non-window
component for the portion of the atmosphere bounded by pressures
and .
Let
represent the total non-window absorption for a
homogeneous atmosphere characterized by a set of scaling parameters
. Scaling theory is a relationship between an inhomogeneous path
and an equivalent homogeneous path with nearly identical line
absorption for the spectral band under consideration [62].
Scaling theory is used to reduce the parameter space of atmospheric
conditions that have to be evaluated. The equivalent pressure,
temperature, and absorber amount are calculated using the standard
Curtis-Godson scaling theory for absorption lines
[61,44]. In addition, we retain explicit dependence
on the emission temperature of the radiation following
Ramanathan and Downey [138], and we introduce dependence on an equivalent
relative humidity. It follows from Curtis-Godson scaling theory that
|
(4.251) |
In the following expressions, a tilde denotes a parameter derived
using scaling theory for the equivalence between homogeneous and
inhomogeneous atmospheres. The subscript denotes a parameter which
depends upon the spectral band under consideration. The set of
scaling parameters that determine the total non-window absorption are
labeled:
|
(4.252) |
Here
is the pressure-weighted precipitable
water,
is the scaled atmospheric pressure, is the
emission temperature of radiation,
is the absorber weighted
path temperature, and
is the scaled relative humidity. The
subscript indicates that the quantities are evaluated for the
non-window.
The absorber-weighted path temperature is:
|
(4.253) |
where is the thermodynamic temperature of the
atmosphere at pressure . The HO path or precipitable water
is:
where is the specific humidity at
pressure and is the acceleration of gravity. The HO path
and pressure for a homogeneous atmosphere with equivalent line
absorption are [62]
where
The factor is the line strength for each line
in the spectral interval under consideration. The characteristic
width of each line at a reference pressure and specific humidity
is
. It is convenient to calculate the absorptance
in terms of a pressure-weighted HO path
|
(4.259) |
The equivalent pressure-weighted HO path is simply
|
(4.260) |
Although the relative humidity (or HO vapor pressure) is not
included in standard Curtis-Godson scaling theory, it must be treated
as an independent parameter since the vapor pressure determines the
self-broadening of lines and the strength of the self-continuum. The
effective relative humidity
is defined in terms of an
effective HO specific humidity
and saturation specific
humidity
along the path:
|
|
|
(4.261) |
|
|
|
(4.262) |
|
|
|
(4.263) |
|
|
|
(4.264) |
where is the saturation vapor pressure at temperature ,
is an effective pressure, and
is the
ratio of gas constants for air and water vapor.
The window term
requires a special provision for the different
path parameters for the lines and continuum. Let
The set of parameters for the line absorption in the window region
are:
|
(4.266) |
The set of scaling parameters that determine the continuum absorption
in the window are:
|
(4.267) |
For the continuum, the pressure-weighted path length is calculated
using:
|
(4.268) |
where
is a reference temperature, is a suitably
chosen wavenumber inside the window, is the self-continuum path
length, and
is the self continuum absorption coefficient.
The self-continuum path length may be approximated by
|
(4.269) |
The lines-only absorptivity can be written in terms of a line
transmission factor and an asymptotic absorptivity
in
the limit of a black-body atmosphere.
is a function only of
[138]. The relationship is
|
(4.270) |
Define an effective continuum transmission by setting
|
(4.271) |
We approximate the window absorptivity by:
|
(4.272) |
This approximation for
can be cast entirely in terms of the
absorptivities defined in equation 4.265. From
equations 4.270 and 4.271, the line and continuum
transmission are:
In the presence of stratospheric volcanic aerosols, the
expressions for the absorptivity become:
The volcanic transmission factor is
|
(4.275) |
where is the diffusivity factor,
is an
effective specific extinction for the band, and is the mass
path of the volcanic aerosols. The extinction
has
been adjusted iteratively to reproduce the heating rates calculated
using the spectral bands in the original [138]
parameterization. This completes the set of approximations used to
calculate the absorptivity (and by extension the emissivity).
Methane. The radiative effects of methane are
represented by the last term in (4.241). We re-write this in
terms of the absorptivity due to methane as
|
|
|
|
|
|
|
(4.276) |
Note that this expression also incorporates the absorptance due to the
7.7 micron band of nitrous oxide as well. The first term is due to the
rotation band of water vapor and is already accounted for in the
CAM 3.0 radiation model by the parameterization described in
Ramanathan and Downey [138]. The second term in (4.276) accounts for
the absorptance due to the 7.7 micron band of methane. The
spectroscopic parameters are from Donner and Ramanathan [51]. In terms of the
broad band approximation we have,
|
(4.277) |
where according to (4.235),
|
(4.278) |
where is a path weighted temperature,
|
(4.279) |
The dimensionless path length is,
|
(4.280) |
and the mean line width factor is,
|
(4.281) |
where
is the mass mixing ratio of methane, is the
local layer temperature in Kelvin and is the pressure in Pascals,
and is
Pa. is a diffusivity factor of 1.66.
The water vapor overlap factor for this spectral region is,
and
is the mass mixing ratio of water vapor.
Nitrous Oxide. For nitrous oxide there are three
absorption bands of interest: 589, 1168 and 1285 cm bands. The
radiative effects of the 1285 cm band is given by the last term
in (4.276),
|
(4.284) |
The absorptance for the 1285 cm NO band is given by
|
(4.285) |
where , account for the fundamental transition,
while , account for the first ``hot'' band
transition. These parameters are defined as
While the ``hot'' band parameters are defined as
The overlap factors in (4.284) due to water vapor is the same
factor defined by (4.282), while the overlap due to methane is
obtained by using the definition of the transmission factor in terms
of the equivalent width [136].
|
(4.290) |
Substitution of (4.278) into (4.284) leads to,
|
(4.291) |
where and are given by (4.280) and (4.281),
respectively, and the 0.02 factor is an empirical constant to match
the overlap effect obtained from narrow band model benchmark
calculations. This factor can physically be justified as accounting
for the fact that the entire methane band does not overlap the
NO band.
The 1168 cm NO band system is represented by the seventh
term on the RHS of (4.241). This term can be re-written as
|
|
|
|
|
|
|
(4.292) |
where the last term accounts for the 1168 cm NO band. For
the broad band formulation this expression becomes,
|
(4.293) |
The band absorptance for the 1168 cm NO band is given by
|
(4.294) |
where the fundamental band path length and mean line parameters can be
simply expressed in terms of the parameters defined for the 1285
cm band (eq. 4.286-4.287).
Note that the 1168 cm band does not include a ``hot'' band
transition. The overlap by water vapor includes the effects of water
vapor rotation lines, the so called ``e-type'' and ``p-type'' continua
(e.g. Roberts et al. [150]). The combined effect of these three
absorption features is,
|
(4.297) |
where the contribution by line absorption is modeled by a Malkmus
model formulation,
|
(4.298) |
where and are coefficients that are obtained by
fitting
(4.298) to the
averaged transmission from a 10 cm narrow band Malkmus. The
path length is,
where and account for the temperature dependence
of the spectroscopic parameters [151]
The coefficients for various spectral intervals are given in
Table 4.3. The transmission due to the e-type continuum is
given by
The p-type continuum is represented by
The factors , , and are
listed for specific spectral intervals in Table 4.4.
Table 4.3:
Coefficients for the Temperature Dependence
Factors in (4.301) and (4.302).
Index |
|
|
|
|
|
1 |
750 - 820 |
2.9129e-2 |
-1.3139e-4 |
3.0857e-2 |
-1.3512e-4 |
2 |
820 - 880 |
2.4101e-2 |
-5.5688e-5 |
2.3524e-2 |
-6.8320e-5 |
3 |
880 - 900 |
1.9821e-2 |
-4.6380e-5 |
1.7310e-2 |
-3.2609e-5 |
4 |
900 - 1000 |
2.6904e-2 |
-8.0362e-5 |
2.6661e-2 |
-1.0228e-5 |
5 |
1000 - 1120 |
2.9458e-2 |
-1.0115e-4 |
2.8074e-2 |
-9.5743e-5 |
6 |
1120 -
1170 |
1.9892e-2 |
-8.8061e-5 |
2.2915e-2 |
-1.0304e-4 |
Table 4.4:
Coefficients for the broad-band water vapor
overlap transmission factors.
Index |
|
|
|
|
|
1 |
750 - 820 |
0.0468556 |
14.4832 |
26.1891 |
0.0261782 |
2 |
820 - 880 |
0.0397454 |
4.30242 |
18.4476 |
0.0369516 |
3 |
880 - 900 |
0.0407664 |
5.23523 |
15.3633 |
0.0307266 |
4 |
900 - 1000 |
0.0304380 |
3.25342 |
12.1927 |
0.0243854 |
5 |
1000 - 1120 |
0.0540398 |
0.698935 |
9.14992 |
0.0182932 |
6 |
1120 - 1170 |
0.0321962 |
16.5599 |
8.07092 |
0.0161418 |
The final NO band centered at 589 cm is represented by the
first term on the RHS of (4.241),
|
|
|
|
(4.307) |
where the last term in (4.307) represents the radiative effects
of the 589 cm NO band,
|
(4.308) |
The absorptance for this band includes both the fundamental and hot
band transitions,
|
(4.309) |
where the path lengths for this band can also be defined in terms of
the 1285 cm band path length and mean lines parameters
(4.286 - 4.289),
The overlap effect of water vapor is given by the transmission factor
for the 500 to 800 cm spectral region defined by
Ramanathan and Downey [138] in their Table A2. This expression is thus
consistent with the transmission factor for this spectral region
employed for the water vapor formulation of the first term on the
right hand side of (4.307). The overlap factor due to the
CO bands near 589 cm is obtained from the formulation in
Kiehl and Briegleb [87],
|
(4.314) |
where the functional form is obtained in the same manner as the
transmission factor for CH was determined in (4.290). The
0.2 factor is empirically determined by comparing (4.314) with
results from 5 cm Malkmus narrow band calculations. The path
length parameters are given by
CFCs. The effects of both CFC11 and CFC12 are
included by using the approach of Ramanathan et al. [139]. Thus, the band
absorptance of the CFCs is given by
|
(4.317) |
where
is the width of the CFC absorption band, is
the band strength, is the abundance of CFC (g cm),
|
(4.318) |
where is the mass mixing ratio of either CFC11 or
CFC12. is the diffusivity factor. In the linear limit , since
(4.317) deviates slightly from the pure linear limit we let
. We account for the radiative effects of four bands due to
CFC11 and four bands due to CFC12. The band parameters used in
(4.317) for these eighth bands are given in
Table 4.5.
The contribution by these CFC absorption bands is accounted for by the
following terms in (4.241).
|
|
|
|
|
|
|
(4.319) |
|
|
|
|
|
|
|
(4.320) |
|
|
|
|
|
|
|
(4.321) |
|
|
|
|
|
|
|
(4.322) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
(4.323) |
Table 4.5:
Band Parameters for the CFCs transmission
factors.
Band Number |
Band Center |
|
|
|
(cm) |
(cm) |
(cm gm) |
CFC11 |
1 |
798 |
50 |
54.09 |
2 |
846 |
60 |
5130.03 |
3 |
933 |
60 |
175.005 |
4 |
1085 |
100 |
1202.18 |
CFC12 |
1 |
889 |
45 |
1272.35 |
2 |
923 |
50 |
5786.73 |
3 |
1102 |
80 |
2873.51 |
4 |
1161 |
70 |
2085.59 |
For the 798 cm CFC11 band, the absorption effect is given by
the second term on the right hand side of (4.319),
|
(4.324) |
where the band absorptance for the CFC is given by (4.317) and
the overlap factor due to water vapor is given by (4.297) using
the index 1 factors from Tables 4.3 and
4.4. Similarly, the
CFC11 band is
represented by the second term on the RHS of (4.320),
|
(4.325) |
where the HO overlap factor is given by index 2 in
Tables 4.3 and 4.4. The 933 cm
CFC11 band is given by the third term on the RHS of (4.322),
|
(4.326) |
where the HO overlap factor is defined as index 4 in
Tables 4.3 and 4.4, and the CFC12 transmission
factor is obtained from (4.317). The final CFC11 band centered
at 1085 cm is represented by the fourth term on the RHS of
(4.323),
|
(4.327) |
where the transmission due to the 9.6 micron ozone band is defined
similar to (4.314) for CO as
|
(4.328) |
where the path lengths are defined in Ramanathan and Dickinson [137]. The
HO overlap factor is defined by index 5 in
Tables 4.3 and 4.4.
For the 889 cm CFC12 band the absorption is defined by the
second term in (4.321) as
|
(4.329) |
where the HO overlap factor is defined by index 3 of
Tables 4.3 and 4.4, and the CFC
absorptance is given by (4.317). The 923 cm CFC12 band
is described by the second term in (4.322),
|
(4.330) |
where the HO overlap is defined as index 4 in
Tables 4.3 and 4.4. The 1102 cm
CFC12 band is represented by the last term on the RHS of
(4.323),
|
(4.331) |
where the transmission by ozone is described by (4.328) and
the HO overlap factor is represented by index 5 in
Tables 4.3 and 4.4. The final CFC12
band at 1161 cm is represented by the second term on the RHS of
(4.292),
|
(4.332) |
where the HO overlap factor is defined as index 6 in
Tables 4.3 and 4.4.
Minor CO Bands. There are two minor bands of carbon
dioxide that were added to the CCM3 longwave model. These bands play a
minor role in the present day radiative budget, but are very important
for high levels of CO, such as during the Archean. The first band
we consider is centered at 961 cm. The radiative contribution
of this band is represented by the last term in (4.322),
|
(4.333) |
where the transmission factors for water vapor, CFC11 and CFC12 are
defined in the previous section for the 900 to 1000 cm spectral
interval. The absorptance due to CO is given by
|
(4.334) |
where the path length parameters are defined as
and the pressure parameter is,
and,
|
(4.341) |
The CO band centered at 1064 cm is represented by the third
term on the RHS of (4.323),
|
(4.342) |
where the transmission factors due to ozone, water vapor, CFC11 and
CFC12 are defined in the previous section. The absorptance due to the
1064 cm CO band is given by
|
(4.343) |
where the dimensionless path length is defined as
The pressure factor, , for (4.343) is the same as
defined in (4.338), while the other factors are,
In the above expressions, is the column mass abundance of CO,
|
(4.350) |
where
is the mass mixing ratio of CO (assumed
constant).
The mixing ratios of methane, nitrous oxide, CFC11 and CFC12 are
specified as zonally averaged quantities. The stratospheric mixing
ratios of these various gases do vary with latitude. This is to mimic
the effects of stratospheric circulation on these tracers. The exact
latitude dependence of the mixing ratio scale height was based on
information from a two dimensional chemical model (S. Solomon,
personal communication). In the troposphere the gases are assumed to
be well mixed,
|
|
|
(4.351) |
|
|
|
(4.352) |
|
|
|
(4.353) |
|
|
|
(4.354) |
where denotes the volume mixing ratio of these gases. The CAM 3.0
employs volume mixing ratios for the year 1992 based on
IPCC [79],
,
,
and
. The pressure
level (mb) of the tropopause is defined as
|
(4.355) |
For
, the stratospheric mixing ratios are defined as
|
|
|
(4.356) |
|
|
|
(4.357) |
|
|
|
(4.358) |
|
|
|
(4.359) |
where the mixing ratio scale heights are defined as
|
(4.360) |
and,
|
(4.361) |
where is latitude in degrees.
The clouds in CAM 3.0 are gray bodies with emissivities that depend on
cloud phase, condensed water path, and the effective radius of ice
particles. The cloud emissivity is defined as
|
(4.362) |
where is a diffusivity factor set to 1.66,
is the
longwave absorption coefficient (
), and CWP is the cloud
water path (). The absorption coefficient is defined as
|
(4.363) |
where is the longwave absorption coefficient for liquid
cloud water and has a value of 0.090361, such that is
0.15. is the absorption coefficient for ice clouds and is
based on a broad band fit to the emissivity given by Ebert and Curry's
formulation,
|
(4.364) |
The treatment of cloud overlap follows Collins [38]. The new
parameterizations can treat random, maximum, or an arbitrary
combination of maximum and random overlap between clouds. This scheme
replaces the treatment in CCM3, which was an exact treatment for
random overlap of plane-parallel infinitely-thin gray-body clouds.
The new method is an exact treatment for arbitrary overlap among the
same type of clouds. It is therefore more accurate than the original
matrix method of Manabe and Strickler [123] and improved variants of it
[135,107].
If longwave scattering is omitted, the upwelling and downwelling
longwave fluxes are solutions to uncoupled ordinary differential
equations [62]. The emission from clouds is calculated using
the Stefan-Boltzmann law applied to the temperatures at the cloud
boundaries. The cloud boundaries correspond to the interfaces of the
model layers. This approximation greatly simplifies the mathematical
form of the flux solutions since the clouds can be treated as boundary
conditions for the differential equations. The approximation becomes
more accurate as the clouds become more optically thick.
The solutions are formulated in terms of the same conversion of
vertical cloud distributions to binary cloud profiles used for the
shortwave calculations (p. ). First consider
the flux boundary conditions for a maximum-overlap region . The
downward flux at the upper boundary of the region is spatially
heterogeneous and has terms contributed by all the binary
configurations above the region. Similarly, the upward flux at the
lower boundary of the region has terms contributed by all the binary
configurations below the region. The fluxes within the region are
area-weighted sums of the fluxes calculated for all possible
combinations of these boundary terms and the cloud configurations
within the region. Fortunately the arithmetic can be simplified
because the solutions to the longwave equations are linear in the
boundary conditions. Therefore the downward (upward) fluxes can be
computed by summing the solutions for each configuration in the region
for a single boundary condition given by the area-averaged fluxes at
the region interfaces denoted by
(
). The mathematics
is explained in Collins [38]. In the absorptivity-emissivity
method, the boundary conditions are included in the solution using the
emissivity array. In the standard formulation
[138,122] used in CAM 3.0, this array is only defined
for boundary conditions at the top of the model domain for
computational economy. It is not possible to treat arbitrary flux
boundary conditions inside the domain (e.g.,
) using the
emissivity array. However, the flux boundary conditions
and
are mathematically equivalent to the fluxes from a single
``pseudo'' cloud deck above and below the region, respectively. The
pseudo clouds have unit area and occupy a single model layer. The
vertical positions and emissivities of these clouds are chosen so that
the net area-mean fluxes incident on the top and bottom of the region
equal
and
. With the introduction of the pseudo
clouds, the fluxes inside each maximum-overlap region can be
calculated using the standard absorptivity-emissivity formulation.
The total upward and downward mean fluxes at a layer within a
maximum-overlap region are given by:
where
and
are the upward and downwelling fluxes for the cloud configuration
. The symbols required to write these fluxes are defined in
Table 4.6.
Table 4.6:
Definition of terms in fluxes.
|
Stefan-Boltzmann constant |
|
pressure |
|
pressure at top of layer |
|
pressure at
bottom of layer (
) |
|
temperature at
pressure |
|
|
|
layer containing
pseudo cloud for
b.c. |
|
layer containing pseudo
cloud for
b.c. |
|
emissivity of cloud in layer |
|
emissivity of pseudo clouds at
and
|
|
clear-sky absorptivity from pressure to |
|
downwelling clear-sky flux at layer |
|
upwelling clear-sky flux at layer |
|
weights for up/downwelling clear-sky
flux at layer |
|
weights for up/downwelling flux at
layer from cloud at |
The downward and upward fluxes for each configuration can be derived
by iterating the longwave equations from TOA and the surface to the
layer . At each iteration, the solutions are advanced between
successive cloud layers. The final form of the fluxes in
configuration
is:
The clear-sky and cloudy-sky weights are:
|
|
|
(4.368) |
|
|
|
(4.369) |
|
|
|
(4.370) |
|
|
|
(4.371) |
|
|
|
(4.372) |
The longwave atmospheric heating rate is obtained from
|
(4.373) |
which is added to the nonlinear term in the thermodynamic
equation.
The full calculation of longwave radiation (which includes heating
rates as well as boundary fluxes) is computationally expensive.
Therefore, modifications to the longwave scheme were developed to
improve its efficiency for the diurnal framework. For illustration,
consider the clear-sky fluxes defined in (4.229) and
(4.230). Well over 90% of the longwave computational cost
involves evaluating the absorptivity and emissivity
. To reduce this computational burden, and
are computed at a user defined frequency that is set to
every 12 model hours in the standard configuration, while longwave
heating rates are computed at the diurnal cycle frequency of once
every model hour.
Calculation of and with a period longer than the
evaluation of the longwave heating rates neglects the dependence of
these quantities on variations in temperature, water vapor, and ozone.
However, variations in radiative fluxes due to changes in cloud amount
are fully accounted for at each radiation calculation, which is
regarded to be the dominant effect on diurnal time scales. The
dominant effect on the heating rates of changes in temperature occurs
through the Planck function and is accounted for with this method.
The continuous equations for the longwave calculations require a
sophisticated vertical finite-differencing scheme due to the integral
term
in Equations (4.229)-(4.230). The
reason for the additional care in evaluating this integral arises from
the nonlinear behavior of across a given model layer. For
example, if the flux at interface is required, an integral of
the form
must be evaluated.
For the nearest layer to level , the following terms will arise:
|
(4.374) |
employing the trapezoidal rule. The problem arises with the second
absorptivity
, since this term is zero. It is also
known that is nearly exponential in form within a layer.
Thus, to accurately account for the variation of
across a layer, many more grid points are required than are available
in CAM 3.0. The nearest layer must, therefore, be subdivided and
must be evaluated across the subdivided layers. The
algorithm that is employed in is to use a trapezoid method for all
layers except the nearest layer. For the nearest layer a
subdivision, as illustrated in Figure 4.3, is employed.
Figure 4.3:
Subdivision of model layers for radiation
flux calculation
|
For the upward flux, the nearest layer contribution to the integral is
evaluated from
|
(4.375) |
while for the downward flux, the integral is evaluated according to
|
(4.376) |
The
are absorptivities
evaluated for the subdivided paths shown in Figure 4.3.
The path-length dependence for the absorptivities arises from the
dependence on the absorptance [e.g.,
Eq. (4.373)]. Temperatures are known at model levels.
Temperatures at layer interfaces are determined through linear
interpolation in between layer midpoint temperatures. Thus,
can be evaluated at all required levels.
The most involved calculation arises from the evaluation of the
fraction of layers shown in Figure 4.3. In general, the
absorptance of a layer can require the evaluation of the following
path lengths:
where and are functions of temperature due to band
parameters (see Kiehl and Ramanathan [93], and
is an absorber
mass-weighted mean temperature.
These path lengths are used extensively in the evaluation of
[137] and [87] and the trace
gases. But path lengths dependent on both (i.e. ) and
(i.e. ) are also needed in calculating the water-vapor
absorptivity,
[138]. To account for
the subdivided layer, a fractional layer amount must be multiplied by
and , e.g.
where , , and are factors to account for the
fractional subdivided layer amount. These quantities are derived for
the case where the mixing ratio is assumed to be constant within a
given layer (CO and HO). For ozone, the mixing ratio is
assumed to interpolate linearly in physical thickness; thus, another
fractional layer amount is required for evaluating
across subdivided layers.
Consider the subdivided path for
; the total path length
from to for the path length will be
|
(4.383) |
where
. The
total layer path length is, therefore, proportional to
|
(4.384) |
The path length for
requires the mean pressure
Therefore, the path is
|
(4.387) |
The fractional path length is obtained by normalizing this by
,
Similar reasoning leads to the following expressions for the remaining
fractional path lengths, for
,
The are fractional layer amounts for path length that scale as
, i.e.,
.
For variables that scale linearly in , e.g.
,
the following fractional layer amounts are used:
These fractional layer amounts are directly analogous to the
but since
is linear in , the squared terms are not
present.
The variable
requires a mean pressure for the
subdivided layer. These are
Finally, fractional layer amounts for ozone path lengths are needed,
since ozone is interpolated linearly in physical thickness. These are
given by
Next: 4.10 Surface Exchange Formulations
Up: 4. Model Physics
Previous: 4.8 Parameterization of Shortwave
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Jim McCaa
2004-06-22