Table 2 Statistical indices of variables recorded in the study area.

From: Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow

Variables

Max

Min

Mean

STDV

Skewness

CV

Tmin (°C)

22.6

-1.1

11.5

6.51

0.057

0.56

Tave (°C)

29.7

4.2

17.9

7.04

-0.00087

0.39

Tmax (°C)

38.5

9.3

24.2

7.71

-0.031

0.31

ETm (mm)

264.1

25

122.5

56.3

0.51

0.45

Pm (mm)

324

0

71.4

51.1

1.31

0.71

Tmaxa (°C)

46

7

33.21

6.61

-0.56

0.19

Tmina (°C)

20

-10.6

7.11

7.19

0.13

1.01

CCRSFm (m3/s)

18.7

0.02

1.91

2.06

3.41

1.08

  1. *CV and STDV illustrate the coefficient of variation and standard deviation, respectively.
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