Geoscience Reference
In-Depth Information
Table 2.
Evaluation statistics and indices.
No.
Code
Unit
Time scale
Description
1
Prcp1
%
Season
Percentage of wet days (daily
precipitation
≥
1 mm)
2
SDII
mm/r.day
Season
Sum of daily precipitation/number of
wet days
3
CDD
days
Season
Maximum number of consecutive dry
days (daily precipitation
<
1 mm)
4
R3days
mm
Season
Maximum 3-day precipitation total
5
Prec90p
mm
Season
90th percentile of daily precipitation
amount
6
Precip mean
mm/day
Month
Sum of daily precipitation in a
month/number of days in that month
7
Precip sd
mm
Month
Standard deviation of daily
precipitation in a month
◦
C
8 R
Season
Mean of diurnal temperature range
Frost season length:
t
mean
<
0
◦
Cmore
than 5 days and
t
mean
>
0
◦
Cmore
than 5 days
9
FSL
days
Year
Growing season length:
t
mean
>
5
◦
C
more than 5 days and
t
mean
<
5
◦
C
more than 5 days
10
GSL
days
Year
11
Fr Th
days
Month
Days with freeze and thaw cycle
(
t
max
>
0
◦
Cand
t
min
<
0
◦
C)
◦
C
12
Tmax90p
Season
90th percentile of daily
t
max
◦
C
13
Tmax mean
Month
Mean of daily
t
max
in a month
◦
C
14
Tmax sd
Month
Standard deviation of daily
t
max
◦
C
15
Tmin10p
Season
10th percentile of daily
t
min
16
Tmin mean
◦
C
Month
Mean of daily
t
min
in a month
17
Tmin sd
◦
C
Month
Standard deviation of daily
t
min
◦
C
18
Tmoy mean
Month
Mean of daily
t
mean
in a month
◦
C
19
Tmoy sd
Month
Standard deviation of daily
t
mean
3. Results
3.1.
Model calibration
Results of the calibration of the SDSM for simulating daily precipitation
and temperature extremes showed that the daily precipitation predictand
requires significant predictors such as zonal velocities, meridional veloci-
ties, specific humidities, geopotential height, and vorticity, while both daily
maximum (
t
max
) and minimum (
t
min
) temperatures predictands require
