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Short-Wave Solar Radiation in the Earth’s Atmosphere Part 4 potx
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84 Spectral Measurements of Solar Irradiance and Radiance in Clear and Cloudy Atmospheres
Table 3.1. Evaluation of the uncertainty (standard deviation) of airborne measurements of
the radiative characteristics
Uncertainty source Uncertainty
type
Observations, which
the uncertainty
influences
Uncertainty estimation
Displacement of the Systematic All observations 1 nm
wavelength scale Random All observations 1 nm
Deviation from the
cosine dependence
Systematic The irradiance
observations
Look at Fig. 3.1
Calibration Systematic All observations 15% within UV, 10%
within VD and NIR
K-3 spectrometer Random All observations 5% within UV, 1% within
VD and NIR
Aircraft pitch Systematic Observations of the
downwelling irradiance in the clear
atmosphere
5% within UV, 10%
within VD and NIR for
the azimuths 0 and 180◦
Aircraft bumps Random Observations of the
downwelling irradiance in the clear
atmosphere below
the bumps level
5% within UV, 10%
within VD and NIR for
the azimuths 90 and 270◦
Illumination
heterogeneity
Random Observations below
the inhomogeneous
clouds
10%
Surface heterogeneity Random Observations of the
upwelling radiance
and irradiance
below the bumps
level
10%
area in the field of view of the instrument is smoothing the surface heterogeneity. It is especially distinct during the upwelling irradiance observations:
the corresponding estimations indicated that the surface heterogeneity could
be neglected if the flight altitude was higher than the bumps level. Table 3.1
concludes the reasons and estimations of the uncertainties of the airborne
observations with the information-measuring system based on the K-3 instrument.
Airborne Observation of Vertical Profiles of Solar Irradiance and Data Processing 85
3.2
Airborne Observation of Vertical Profiles
of Solar Irradiance and Data Processing
The concern of the spectral observations of solar irradiances was to calculate
radiative flux divergences and it conditions both the observational scheme and
the methodology of data processing. It is necessary to distinguish two different
cases: observations under overcast and clear sky conditions. The observations
either of upwelling or of downwelling irradiance were accomplished using one
instrument through the upper and lower opal glasses in turn.
The observations of the solar irradiances in the overcast sky were accomplished out of the cloud (above the cloud top and below the cloud bottom) and
within the cloud layer at every 100 m. As the implementation of the experiment
under the overcast conditions needed both a horizontal homogeneity of the
cloud and its stability in time, the observations were accomplished as fast as
possible with measuring of only one pair of the irradiances (upwelling and
downwelling) at every altitude level. Besides, only one circle of observations
was needed as usual. We need to stress that cases of homogeneous and stable
cloudiness are rare so the quantity of observations for the overcast sky are less
than in the clear sky.
The main component of the uncertainty during irradiance observations
under overcast conditions is the random error due to the heterogeneity of
illumination (Table 3.1). It leads to distortions of the vertical profiles of the
spectrum, as Fig. 3.2 demonstrates. The filtration of these distortions was
possible using the smooth procedures, but the standard algorithms (Anderson
1971; Otnes and Enochson 1978) turned out to be ineffective in this case. Thus,
it was necessary to elaborate the special one (Vasilyev A et al. 1994).
The smooth procedure of distortions of the spectral downwelling and upwelling irradiances provides the replacement of the irradiance value at every
altitude level with the weighted mean value over this level and two neighbor
(upper and below) levels:
F↓(zi) =
1
j=−1
βjf ↓(zi+j) , F↑(zi) =
1
j=−1
βjf ↑(zi+j) ,
1
j=−1
βj = 1 , (3.2)
where βj are the weights of smoothing (common for all wavelengths, altitudes
and types of the irradiances); f ↓(zi), f ↑(zi) are the observational results of the
downwelling and upwelling irradiances at level zi; F↓(zi), F↑(zi) are the values
of the irradiances calculated during the secondary data processing. Weights βj
in (3.2) have been obtained from the demands of the physical laws.
As the radiative flux divergence has to be positive, the net radiant flux does
not increase with the optical thickness increasing (from the top to the bottom
of the cloud) according to Sect. 1.1. That is to say, the following condition has
to be fulfilled for the results of (3.2):
F↓(zi) − F↑(zi) ≥ F↓(zi−1) − F↑(zi−1) (3.3)
86 Spectral Measurements of Solar Irradiance and Radiance in Clear and Cloudy Atmospheres
Fig. 3.2. Vertical profile of net, downward, and upward fluxes of solar radiation in the
cloud for three wavelengths. Solid lines are the original measurements; dashed lines are
the smoothed values. Observation 20th April 1985, overcast stratus cloudiness. Cloud top
1400 m, cloud bottom – 900 m, solar incident zenith angle ϑ0 = 49◦ (µ0 = 0. 647), snow
surface
The substituting of (3.3) to (3.2) provided the conditions for obtaining weights
βj
1
j=−1
βj(f ↓(zi+j) − f ↓(zi−1+j)) ≥
1
j=−1
βj(f ↑(zi+j) − f ↑(zi−1+j)) ,
1
j=−1
βj = 1.
(3.4)
The equation system (3.4) was solved with the iteration method. Firstly, weights
βj for measured values f ↓(zi), f ↑(zi) were obtained after the conversion of the
inequality to the equality in (3.4). Only three spectral points in the interval centers (UV – 370 nm,VD – 550 nm, NIR – 850 nm)were considered as a smoothing
condition for all other wavelengths. Equation system (3.4) was solved using the
Least-Squares Technique (LST) (Anderson 1971; Kalinkin 1978). The formulas
and features of the LST in applying to atmospheric optics will be considered
in Chap. 4 and here we are presenting the results only.
Then values F↓(zi), F↑(zi) were calculated using (3.2), and conditions (3.3)
were verified for all wavelengths and altitudes. The iterations were broken in
the case of satisfying the conditions, otherwise the above-described procedure
was repeated after substituting values F↓(zi), F↑(zi) to f ↓(zi), f ↑(zi) in (3.4). One