Geoscience Reference
In-Depth Information
over a longer period of time prior to the 1994 recording) was 18.31 mm. This means
that the rainfall levels for December 1994 can also be seen as the creation of a
random variable having a square-root normal distribution and is made up of the
following parameters:
P
=
18 =
.
31
4
.
28
−
P
σ
≈
0.2188
P
+
1.5852 (1
−
e
0.5489
)
P
4.28
0.5489
−
=
σ≈
0.2188 * 4.28 1.5852*(1
+
−
e
)
2.52
P
The rainfall levels for the month December 1994, therefore, correspond to a
reduced Gaussian variable which is made up of:
11
.
−
4
28
u
=
=
−
0
36
2
.
52
At the short-term station of Sebgag (which was used to record less than 20
observations for the month of December), we can see that the total level of rainfall
for the month of December 1994 was 0.22 mm and that the estimated median for the
same month was 9.81 mm, according to the map that was generated. This means that
the rainfall levels for December 1994 can also be seen as the creation of a random
variable which has a square-root normal distribution and is made up of the
following parameters:
P
=
9 =
81
3
13
−
P
σ
≈
0.2188
P
+
1.5852 (1
−
e
)
0.5489
P
3.13
0.5489
−
=
σ
≈
0.2188 * 3.13
+
1.5852*(1
−
e
)
2.27
P
The rainfall levels for the month of December 1994, therefore, correspond to a
reduced Gaussian variable made up of:
0
2
−
3
13
u
=
=
−
1
.
19
2
.
27
These reduced Gaussian variables are characteristic of the relative intensity of
the rainfall that fell in these areas during 1994. With these variables and values in
mind, it is possible to carry out a process of spatial interpolation. When these
Gaussian or U variables are created, they have a zero average and a variance level of
one. Therefore, it is possible to study the structure and the function of each structure
