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- for the cloud bottom sublayer (level numbers are
N
−1,
N
)
K
0
(
µ
τ
N
−1
)
2
−
σ
)
2
J
(
2
s
2
=
,
K
0
(
µ
µ
µ
µ
τ
N
−1
)(2
n
2
−9
q
2
)−
W
}
)
2
2
[
I
N
−1
(
)]
2
−
J
2
(
{
9
)+
I
N
−1
(−
where specified
τ
N
−1
)
n
2
(
w
(
−24
q
2
A
(
q
+
q
)
(1 −
A
)
µ
µ
2
K
0
(
)
)−1)+
3
Ah
(
)
=
)
J
2
(
µ
W
,
K
0
(
µ
1−
A
ln
l
J
(
τ
N
−1
)+6
I
N
−1
(−
µ
µ
µ
1
2
s
)
s
(1−3
s
)
τ
N
−
τ
Nn
−1
=
τ
N
−1
)−6
I
N
−1
(
µ
µ
µ
J
(
)
s
(1 − 3
s
)
1−
A
−4
As
−12
Aq
s
2
1−
A
+4
As
−12
Aq
s
2
,
×
(6.9)
µ
function
w
(
) has been specified in Sect. 2.2 with (2.34).
Following notation are introduced in (6.9) for brevity:
µ
3.8
−2.7
1+
g
4
A
3(1 −
A
)
µ
=
and
q
=
q
+
h
(
)
,
(6.10)
It should be noted that the formulas for value
s
2
are characterized with the
same properties, as the formulas for the irradiances are.
The expressions proposed here, constitute the set of formulas for solving
the inverse problem in the case of radiation observations within the cloud
layer. They allow more correct data interpretation than has been done in the
study by King (1987), because these expressions are derived while taking into
account the absorption of solar radiation and provide the data processing
independently at every wavelength.
6.1.3
Problem Solution in the Case of Observations of Solar Radiation Reflected
or Transmitted by the Cloud Layer
The possibilities of the interpretation of the radiation data from airborne ob-
servations have been analyzed hereinbefore. In addition to these data, there
is a huge volume of data either from satellite observations or from the re-
mote observations from the ground, which are conducted more regularly than
the airborne ones. The satellite observations have been implemented contin-
uously during the last decades while making use of various instruments, and
the ground remote observations are cheaper and easier to carry out from the
methodological and technical points. Besides, the remote observations pro-
vide the averaged characteristics necessary for using in the climatic models.
However, not all volume of the data from satellite and remote observations are
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