Monte Carlo modeling and measurements of actinic flux levels in Summit, Greenland snowpack
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Transcript of Monte Carlo modeling and measurements of actinic flux levels in Summit, Greenland snowpack
Atmospheric Environment 36 (2002) 2545–2551
Monte Carlo modeling and measurements of actinic flux levelsin Summit, Greenland snowpack
Matthew Petersona,*, Douglas Barbera, Sarah Greenb
aDepartment of Civil and Environmental Engineering, Michigan Technological University,
1400 Townsend Dr. Houghton, MI 49931, USAb Department of Chemistry, Michigan Technological University, Houghton, MI 49931, USA
Received 4 June 2001; received in revised form 7 September 2001; accepted 11 January 2002
Abstract
Knowledge of actinic flux levels in snowpack is needed to find the influence of snowpack photochemical processes on
atmospheric composition. Measurements show that while o0.2% of direct UV and visible light is transmitted through
0.7 cm of snowpack, downwelling actinic flux levels are at least 10% of incident levels at a depth of 10 cm within the
snowpack. This results from the highly forward-scattering nature of the snowgrains within the snowpack. A 1-D Monte
Carlo model of photon scattering from, and absorption in, snowgrains accurately simulates relative actinic flux levels in
a horizontally homogeneous, vertically layered representation of the upper meter of Summit, Greenland snowpack. The
resulting relative actinic flux levels may be used with other measurements, or with other radiative transfer models, to
estimate absolute actinic flux levels within the snowpack at Summit. Results from the 1-D Monte Carlo model also
demonstrate that buried radiometers which completely block upward scattered light from lower layers observe e-folding
depths that may be more than an order of magnitude lower than actual values. Additional simulations with a 2- or 3-D
Monte Carlo model are needed to quantify the magnitude of this effect for partial blocking of scattered light. r 2002
Elsevier Science Ltd. All rights reserved.
Keywords: Snow; Photochemistry; Radiative transfer; Radiometer; Ice
1. Introduction
Quantifying the relative decrease of actinic flux levels
within snowpack is important for at least four reasons.
First, because short-wavelength radiation shining on
relatively large particles ðdblÞ is highly forward
scattered (Henyey and Greenstein, 1941) UV and visible
light penetrates snowpack (snowgrains are B0.1–1 mm).
As a result, the high albedo (the ratio of upwelling and
downwelling actinic flux under diffuse lighting) of the
earth’s snow covered regions depends on snowpack
morphology and composition as these determine
the amount of absorption within snowpack during
multiple scattering (Warren and Wiscombe, 1981).
Second, the shortwave energy absorbed in the snow-
grains is the biggest single term in the snowpack energy
balance (Loth et al., 1993). Third, the ability of algae to
grow and thrive within ice floes beneath snowpacks in
the Arctic and Antarctic is regulated by the availability
of actinic (photosynthetic) flux within snow and ice
(Arrigo et al., 1991). Actinic flux is directly proportional
to the number of photons arriving at a unit plane from
all solid angles; multiple scattering enhances actinic flux
by factors of 2–4 within and above clouds (Madronich,
1987) and snowpack (Simpson et al., 2002). Due to the
large variation in measurements of snow transmissivities
(reported as e-folding depths, see King and Simpson,
2001 and references therein) and lack of information
regarding actinic flux in snowpack, the modeling
described here may be used to improve radiative
transfer parameterizations in models of snow cover
and of photosynthetic flux levels beneath snow and ice.
Finally, very recent measurements demonstrate that*Corresponding author. Fax: +1-906-487-2943.
E-mail address: [email protected] (M. Peterson).
1352-2310/02/$ - see front matter r 2002 Elsevier Science Ltd. All rights reserved.
PII: S 1 3 5 2 - 2 3 1 0 ( 0 2 ) 0 0 1 3 3 - 4
photochemical reactions within snowpacks produce
nitrogen oxides and organic compounds and destroy
ozone (Honrath et al., 1999; Sumner and Shepson, 1999;
Peterson and Honrath, 2001). These light-initiated
reactions depend on the actinic flux and on the
probability that a specific molecule will absorb photons
and dissociate. The convolution of the actinic flux and
these probabilities over the relevant wavelength range is
the molecular photolysis frequency (Madronich, 1987).
Knowledge of photolysis frequencies and actinic flux
levels in snowpack is needed to quantify the influence of
snowpack photochemical reactions on the composition
of the atmosphere (Honrath et al., 2002).
In this paper, we present measurements constraining
the relative decrease of actinic flux levels within
snowpack, which are used to validate a 1-D Monte
Carlo model. This model predicts the relative decrease in
actinic flux as a function of depth in horizontally
homogeneous snowpacks in which grain size and density
are either constant, or vary according to the snowpack
stratigraphy. A 1-D Monte Carlo approach, in which
the probability of upward or downward scattering is
computed from the snowgrain scattering phase function,
is used as Monte Carlo modeling is a reliable and
accurate method of computing light levels in multiple
scattering media (Groenhuis et al., 1983; Katsev et al.,
1997). Although this appears to be the first attempt to
simulate snowpack radiative transfer using Monte Carlo
modeling, this method has been used previously to study
light transmission through terrestrial and jovian clouds
(Min and Harrison, 1999; Dyudina and Ingersoll, 2000),
the ocean (Tynes et al., 2001), sea ice (Trodahl and
Buckley, 1990), and glacial ice (Askebjer et al., 1997).
The only other attempt to simulate actinic flux levels in
snowpack is presented in Simpson et al. (2002).
2. Methods
2.1. Experimental
2.1.1. Measurement site
All experiments were conducted at Summit, Green-
land during summers in 1999 and 2000. Summit is
located at the site of the GISP2 ice core drill site at an
elevation of 3.2 km on the peak of the Greenland Ice
Sheet (72.331N, 38.751W).
2.1.2. Penetration of direct insolation
The penetration of direct insolation into snowpack
was determined by measuring solar radiance through a
variable-thickness snow slab using four narrow (2.51)
field of view UV-visible sunphotometers (SPUV-6,
Yankee Environmental) fixed to a telescope mount
equipped with a clock-drive. These sunphotometers were
housed together in a tube sealed with a quartz window
and measured the solar radiance centered at 325 nm
(bandwidth 2 nm), 415, 500, and 615 nm (bandwidth
10 nm). A 12 cm thick snow slab was cut from the
surface of the snowpack and placed in front of the
sunphotometers in order to completely block their field
of view. With the clock-drive activated and continuous
manual corrections to maintain proper alignment, the
sunphotometers pointed directly at the sun through the
snow slab, and thus measured the amount of direct
insolation penetrating the slab. Calibrations to deter-
mine the instrument sensitivities were not performed or
required for this study as the sunphotometers responses
are stable over periods of months, and the ratios of the
background-corrected unobstructed and obstructed
signals measured over a period of about 1 h were used
to compute the fractional transmittance of solar
radiance. During the experiment, the face of the snow
slab was shaved off in increments between 0.3 and
1.8 cm, ultimately resulting in a thickness of not more
than 0.7 cm.
2.1.3. In situ actinic flux levels
Relative downwelling actinic flux levels within the
snowpack were measured using a rugged, cylindrical
spectroradiometer (23 cm diameter� 20 cm long) fitted
with an integral dome-shaped sensor (2.9 cm diameter
� 3.8 cm high) designed to accept light without angular
dependence at wavelengths of 290–730 nm with a
bandwidth of B1 nm (Meteorologie Consult, Germany).
This instrument consists of a diffusing, hemispheric
quartz collector coupled to a monochromator via a
short fiber-optic junction. Data is transmitted to a
computer via a 20m cable. In each in situ experiment
described here, the incident downwelling actinic flux was
measured and then the entire spectroradiometer and
quartz dome assembly was placed in the snowpack such
that the base of the quartz sensor was between 10 and
70 cm beneath the snow surface with the sensor facing
up. In some cases the spectroradiometer was placed at
the bottom of a hole and buried, and in others the
spectroradiometer was placed under undisturbed snow
using an access trench which was shoveled full of snow
prior to obtaining measurements. The downwelling
actinic flux above the snow and within the snow were
typically both measured in a span of less than about
30 min in order to constrain the relative decrease in light
levels within the snow in the absence of insolation
variations. Since only the background-corrected ratios
of these measurements were used, sensitivities were not
applied to the raw data.
Relative in situ actinic flux levels were also determined
from nitrate photolysis frequencies measured using
chemical actinometers placed in the snowpack. A
complete description of these measurements is given in
a companion paper (Qiu et al., 2002). Briefly, these
actinometers consist of transparent tubes (5mm OD,
M. Peterson et al. / Atmospheric Environment 36 (2002) 2545–25512546
250mm long) filled with a solution containing nitrate
and radical trap compounds which react with hydroxyl
radical (OH). When exposed to UV light with wave-
lengths o320 nm, some of the nitrate photolizes,
releasing OH which reacts with the radical traps to
form stable products. The amount of stable product
formed is proportional to the actinic flux within the
snowpack during the measurement (Qiu et al., 2002).
After exposure, the actinometry tubes were sealed in
light-proof boxes and returned to Michigan Technolo-
gical University for analysis.
2.2. Model
The snowpack radiative transfer model consists of a
1-D Monte Carlo scattering module and an absorption
module. The Monte Carlo scattering module computes
photon histories based on the 6.6% probability that
isotropic photons will backscatter, and on the 93.4%
probability that they will forward scatter, from snow-
grains. The scattering probabilities are computed using
the measured scattering phase function of broken and
irregular snow particles (Wetzel, 1981) (representing
snowpack snowgrains) weighted by the fraction of
photons scattered into solid angles corresponding to
equal zenith angle increments. The range of the back-
scattering probability is 6.5–6.9% based on experimental
uncertainty (Wetzel, 1981), which does not affect the
results presented here. A somewhat more complicated
approach is needed to correctly account for scattering by
non-isotropic radiation (i.e., direct insolation). How-
ever, this is not attempted here in order to simplify this
first Monte Carlo modeling attempt, and because
cloudy, diffuse lighting conditions are dominate in the
Arctic during summer when mean monthly cloud
amounts exceed 80% north of 801N (Schweiger et al.,
1999). Photon histories are determined by a random
walk, which continues until the simulated photon passes
out of the top of, or through, the model snowpack. The
absorption module uses Beers Law to compute the
fractional decrease in light intensity resulting from
transmission through each 1-D snowgrain, assuming
snowgrains absorb light like pure ice (Grenfell and
Perovich, 1981; Perovich and Govoni, 1991).
Random walk histories of 100,000 photons are
accumulated at wavelengths of 290, 350, 390, 470, 590,
and 650 nm in order to reduce the median statistical
uncertainty in each wavelength to less than about 1% at
snowpack depths shallower than 30 cm. Reducing the
number of histories by a factor of ten increases this
uncertainty to B10%. The six wavelengths chosen span
the UV and include the minimum ice absorption
wavelength (470 nm), an inflection point in the ice
absorption (590 nm), and a representative longer wave-
length (650 nm). Thus, interpolation to find relative
actinic flux levels at other wavelengths is reasonable with
this choice of wavelengths.
Simulations of in situ actinic flux levels are computed
using both a homogeneous and vertically layered
snowpack morphology; the model snowpack is 1-D
and includes alternating snowgrain and air layers.
Model snowgrains consist of pure ice without additional
absorbing impurities. A total snowpack depth of 1m is
used, as simulations indicate downwelling actinic flux
levels are at least three orders of magnitude lower than
incident levels below this depth. Measurements of snow
physical parameters made at Summit in the summer of
2000 (Albert and Shultz, 2002) indicate a median density
of 0.34 gm/cm3 in the upper meter of snowpack, and a
typical snowgrain thickness of 0.25 mm. These measure-
ments also indicate that the upper meter of snowpack
may be approximated using seven stratigraphic layers
divided at 3, 6, 9, 12, 45, and 57 cm having densities of
0.26, 0.30, 0.35, 0.30, 0.34, 0.39, and 0.34 gm/cm3,
respectively. Based on digital images of snowpack
sections preserved in frozen dimethyl phthalate (Albert
and Shultz, 2002) the snowgrain thickness is estimated
to be 0.15 mm in the first three layers, 0.3 mm in the next
layer, and 0.25 mm in the remaining three layers. These
snowgrain size and snowpack density measurements are
used to establish the spacing of snowgrain layers in
the 1-D snowpack model.
3. Results and discussion
Less than 0.2% of the direct insolation at the UV and
visible wavelengths measured by the sunphotometers
(see Section 2.1.2) penetrated a snow slab 0.7 cm thick.
This is not surprising considering that at the median
snowgrain thickness of 0.025 cm, as many as 28 forward
scattering events may be required to traverse a snow slab
0.7 cm thick. Based on the scattering phase function of
broken and irregular snow (Wetzel, 1981), a maximum
of B50% of incident light is forward scattered into the
2.51 FOV of the sunphotometers. With these con-
straints, just nine scattering events will result in a
decrease in the direct beam radiance of 99.8%
(0.59=0.002). Thus, UV and visible light are completely
diffuse in the snowpack at Summit at depths well less
than 0.7 cm.
In contrast, in situ downwelling actinic flux levels at
470 nm measured with a spectroradiometer buried
beneath 10 cm of undisturbed snowpack (see Section
2.1.3) are at least 10% of incident downwelling actinic
flux levels, and are at least 5% and 4% of the incident
level at snowpack depths of 20 and 30 cm, respectively
(Fig. 1). Corresponding relative downwelling actinic flux
levels measured from the bottom of snow pits filled with
shoveled snow at depths of 10 and 20 cm are similar;
those at a depth of 30 cm are smaller than levels under
M. Peterson et al. / Atmospheric Environment 36 (2002) 2545–2551 2547
undisturbed snow by about 50% (Fig. 1). While these
relative downwelling actinic flux levels are high when
compared with the o0.2% penetration of direct
insolation, they represent lower limits as the large size
of the spectroradiometer (see Section 2.1.3) blocked
some of the adjacent upwelling light within the
snowpack.
In order to compare the results of the 1-D Monte
Carlo model with the in situ downwelling actinic flux
measurements made with the buried spectroradiometer,
two situations are simulated. In one, the in situ light field
is preserved, and relative downwelling actinic flux levels
are the same as in the undisturbed snowpack. This
situation corresponds to observations made with a
transparent radiometer with uniform response to radia-
tion from the downwelling hemisphere. In the other, the
in situ light field is highly perturbed such that the
downwelling actinic flux at a particular depth does not
include contributions from upward scattering from
lower in the snowpack. This situation corresponds to
observations made at various depths in the snowpack
with a radiometer with uniform response to radiation
from the downwelling hemisphere placed just above an
infinite black sheet. A homogeneous snowpack
(r ¼ 0:34 gm/cm3, snowgrain thickness=0.25 mm, see
Section 2.2) is used in these simulations as some
spectroradiometric observations of relative downwelling
actinic flux levels were made in different years (1999 and
2000) with different snowpack stratigraphy. As shown in
Fig. 1, the relative downwelling actinic flux levels
observed with the buried spectroradiometer are near
those predicted for an instrument measuring just above
an infinite horizontal black sheet. This result is
consistent with the large size of the spectroradiometer
body (see Section 2.1.3), and suggests that the 1-D
Monte Carlo simulations are accurate.
Finding the e-folding depth at specific wavelengths is
often the goal of measurements of light transmission
through snow. This parameter is important as it is used
to compute photosynthetic flux levels beneath snowpack
(Arrigo et al., 1991), and to estimate energy deposition
within snow cover (Loth et al., 1993). King and Simpson
(2001) provide an overview and summary of the few
available observations, and show that there is consider-
able variability in normalized e-folding depth measure-
ments.
The 1-D Monte Carlo simulations of the two
situations described above demonstrate that instruments
which block scattering from lower layers will observe
smaller downwelling actinic flux levels and e-folding
depths than those observed by perfectly transparent
instruments within the same snowpack (Fig. 1). Com-
plete blocking of scattering from lower layers results in
reduction of the 470 nm e-folding depth from a true
value of 20.7 cm to one of 1.7 cm for a clean,
homogeneous snowpack with a density of 0.34 gm/cm3
and a snowgrain thickness of 0.25 mm under diffuse
lighting conditions (Fig. 1). When adjusted to this
snowpack density (see King and Simpson, 2001 for
method and initial liquid equivalent e-folding depths),
previous observations of 470 nm e-folding depths made
using small fiber-optic sensors placed within different
snowpacks are all less than predicted for a clean,
homogeneous snowpack and disagree with each other
0.01
0.1
1
0 100 200 300 400
Depth in Snowpack (mm)
Do
wn
wel
ling
470
nm
Act
inic
Flu
x (F
ract
ion
)
Model: Transparent InstrumentsModel: Opaque InstrumentObservations: Undisturbed SnowObservations: Shoveled Snowe-folding depth
GMKS01 KS78
KS01 - King and Simpson, 2001
- Grenfell and Maykut, 1977
- Kuhn and Siogas, 1978
GMll
KS78 -
Fig. 1. Observations of average relative downwelling 470 nm actinic flux levels in snowpack (squares) and two 1-D Monte Carlo model
simulations (solid lines) spanning the range expected for the undisturbed in situ light field (transparent instrument) and for the light
field resulting from elimination of scattering from lower layers (opaque instrument). Error bars span the observed range. Uncertainty
in observation depths is estimated to be o740mm. The range of possible e-folding depth observations in this model snowpack with
diffuse lighting is plotted at an y-axis value of 0.37. Previous observations of 470 nm e-folding depths made with fiber-optic probes,
normalized to the model snowpack density of 0.34 gm/cm3 (see King and Simpson, 2001 for method and initial liquid equivalent e-
folding depths), are also shown.
M. Peterson et al. / Atmospheric Environment 36 (2002) 2545–25512548
by as much as 300% (Fig. 1 and King and Simpson,
2001). These differences may be due to variations in
snowpack composition (King and Simpson, 2001).
However, some of the difference may also be due to
partial blocking of upward scattered light by the opaque
sensors. The magnitude of the effect will depend on the
size, shape, orientation, and spectral signature (i.e., the
amount of forward and backward scattering and
absorption) of the sensor. Additional simulations with
a 2- or 3-D Monte Carlo model are needed to study this
issue further.
Although measurements of relative actinic flux levels
made using the buried spectroradiometer are near
modeled lower limits, this is not the case with measure-
ments made using transparent chemical actinometry
tubes (Qiu et al., 2002), or with simulations of the light
field in the undisturbed snowpack. The relative change
in photolysis frequencies with depth in the snowpack
measured with this technique equals the corresponding
change in actinic flux during relatively short periods
when temperatures are approximately isothermal and
reaction probabilities and quantum yields are nearly
constant (Qiu et al., 2002). Thus, only those chemical
actinometry observations integrated over a period of
about 2 h near midday are used for comparison with the
1-D Monte Carlo simulations. Although refraction at
the air-actinometer interface may influence measure-
ments of absolute actinic flux levels, it is not expected to
cause substantial error in the relative actinic fluxes
reported here as this effect is proportional to the
incident light levels (and will thus divide out). A
complete listing of the modeled relative in situ actinic
fluxes are shown in Table 1, and the actinometry data
are compared to the modeled 290 nm relative actinic flux
levels in the upper 250mm of the snowpack in Fig. 2.
While simulations of relative actinic flux levels in a
homogenous snowpack are somewhat higher than
observed levels (Fig. 2), simulations of these levels in a
seven layer snowpack with variable density and snow-
grain size derived from measurements (see Section 2.2)
are in excellent agreement with observed levels (Fig. 2),
confirming the accuracy of the 1-D Monte Carlo model.
Thus, the relative actinic flux levels in snowpack listed in
Table 1 may be used in conjunction with incident
downwelling actinic flux levels (from spectroradiometric
measurements or an atmospheric radiative transfer
model) to find absolute actinic flux levels in the Summit
snowpack under diffuse lighting conditions.
While the results presented here demonstrate that a
1-D Monte Carlo modeling approach is sufficient to
simulate actinic flux levels in a clean, horizontally
stratified snowpack, a 2- or 3-D model is required to
predict light levels inside experimental chambers used to
study snowpack photochemical processes (Honrath
et al., 2000; Dibb et al., 2002). Such a model is also
needed to find the influence of small opaque objects
(such as radiometers, see above) on light levels within
the snowpack, and to study light penetration through
tilted, irregular snowpack surfaces, common over sea ice
(Worby et al., 1996), or in areas where drifting occurs.
Table 1
Relative actinic flux levels in Summit snowpack from modeling
Depth (mm) Wavelength (nm)
290a 350a 390a 470a 590a 650a 290b 350b 390b 470b 590b 650b
0c 1.90 1.92 1.93 1.93 1.93 1.92 1.92 1.93 1.93 1.94 1.93 1.93
0d 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
5 0.94 0.95 0.96 0.96 0.96 0.95 0.94 0.95 0.95 0.96 0.95 0.95
10 0.91 0.92 0.93 0.94 0.93 0.92 0.91 0.92 0.93 0.93 0.93 0.92
20 0.85 0.92 0.93 0.94 0.93 0.92 0.85 0.92 0.93 0.93 0.93 0.92
40 0.74 0.79 0.82 0.83 0.82 0.78 0.72 0.76 0.79 0.80 0.79 0.76
60 0.65 0.71 0.75 0.77 0.75 0.70 0.60 0.65 0.69 0.71 0.69 0.65
80 0.57 0.63 0.68 0.70 0.68 0.63 0.48 0.54 0.59 0.60 0.59 0.53
100 0.50 0.58 0.64 0.66 0.64 0.57 0.41 0.47 0.52 0.54 0.52 0.47
150 0.36 0.44 0.50 0.52 0.50 0.43 0.30 0.37 0.42 0.44 0.42 0.36
200 0.25 0.32 0.37 0.40 0.37 0.31 0.21 0.26 0.31 0.33 0.31 0.26
250 0.17 0.22 0.27 0.29 0.27 0.22 0.14 0.18 0.22 0.24 0.22 0.18
300 0.11 0.16 0.19 0.21 0.19 0.15 0.09 0.13 0.16 0.17 0.16 0.13
400 0.05 0.07 0.10 0.11 0.10 0.07 0.04 0.06 0.08 0.09 0.08 0.06
500 0.02 0.03 0.04 0.04 0.04 0.03 0.01 0.02 0.03 0.03 0.03 0.02
600 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01
aHomogeneous snowpack (r ¼ 0:34 gm/cm3, snowgrain thickness = 0.25mm).bStratified snowpack (see text).cRelative to the actinic flux downwelling from the sky under diffuse lighting conditions.dRelative to the actinic flux at the snowpack surface (i.e., first row in this table).
M. Peterson et al. / Atmospheric Environment 36 (2002) 2545–2551 2549
Based on the 1-D Monte Carlo simulations, we have
begun making in situ downwelling actinic flux measure-
ments just above the center of large black sheets at
different depths in snowpacks. With this procedure,
scattering from lower layers is eliminated, producing a
limiting case in the possible range of snowpack down-
welling actinic flux observations. Differences between
the resulting measurements and corresponding simula-
tions of relative downwelling actinic flux levels using
pure ice absorption coefficients provide the data
required to estimate the absorption coefficients of
snowpack contaminants (not required here, and beyond
the scope of this paper), and thus model wavelength-
dependent e-folding depths in dirty snow. While we
expect this technique to be sufficient in some cases, it is
difficult to implement, especially with respect to
undisturbed snowpacks, and additional work is needed
to fully understand the influence of contaminants and
opaque sensors on in situ light levels in snowpacks.
4. Conclusions
(1) UV and visible radiation is completely diffuse in the
Summit snowpack at depths o0.7 cm.
(2) Opaque instruments buried in snowpack partially
block upward scattering from lower layers which
results in reductions in observed downwelling
actinic flux levels and e-folding depths.Simulations
of limiting cases indicate that complete blocking of
light scattered upward from lower layers reduces the
observed e-folding depth from 20.7 to 1.7 cm at a
wavelength of 470 nm in a homogeneous snowpack.
Additional simulations are needed to quantify the
magnitude of this effect for partial blocking
situations.
(3) A 1-D Monte Carlo modeling approach yields
accurate relative actinic flux levels for a stratified,
horizontally homogeneous snowpack representing
the upper 1m of snowpack at Summit, Greenland.
These results can be combined with available
spectroradiometric measurements or atmospheric
radiative transfer simulations to compute absolute
actinic flux level in the Summit snowpack.
Acknowledgements
We thank Michael Dziobak, who provided essential
logistical support and helped design and implement
methods for placing the spectroradiometer under
undisturbed snow. The permissions to work in
Greenland are greatly appreciated. We thank the 109th
NY ANG for airlift support under adverse conditions.
This material is based upon work supported by the
National Science Foundation under Grant No. OPP-
9907197. The SPUV-6 sunphotometer and associated
data acquisition system was provided by funding from
NASA.
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0
0.2
0.4
0.6
0.8
1
1.2
0 20 40 60 80 100 120 140 160 180 200 220 240Depth in Snowpack (mm)
<320
nm
Act
inic
Flu
x (F
ract
ion
)
Model: Homogeneous Snow pack
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