Table 2 Ranking of GCMs in replicating seasonal and annual precipitation, maximum temperature and minimum temperature.

From: Optimizing the multi-model ensemble of CMIP6 GCMs for climate simulation over Bangladesh

Model Name

Pre-Monsoon

Monsoon

Post-Monsoon

Winter

Annual

Precipitation

Tmax

Tmin

Precipitation

Tmax

Tmin

Precipitation

Tmax

Tmin

Precipitation

Tmax

Tmin

Precipitation

Tmax

Tmin

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

S

R

ACCESS.CM2

0.91

1

0.24

15

0.82

5

0.95

2

0.17

17

0.82

6

0.95

1

0.42

15

0.75

5

0.12

19

0.68

6

0.76

4

0.99

1

0.27

15

0.83

4

ACCESS.ESM1.5

0.85

3

0.38

10

0.77

11

0.8

5

0.24

13

0.87

2

0.5

12

0.76

3

0.41

13

0.36

15

0.75

5

0.64

11

0.85

4

0.49

4

0.76

7

CanESM5

0.35

16

0.21

16

0.23

19

0.43

14.5

0.2

15

0.37

18

0.83

5

0.48

9

0.09

19

0.58

7

0.44

17

0.32

19

0.4

16

0.28

14

0.25

19

CNRM.CM6.1

0.6

7

0.25

14

0.73

13

0.43

14.5

0.42

4

0.67

14

0.42

15

0.57

5

0.25

18

0.69

5

0.59

13

0.51

14

0.67

6

0.33

9

0.58

15

CNRM.ESM2.1

0.64

6

0.26

12

0.81

9

0.74

6

0.4

6

0.7

12

0.31

18

0.55

6

0.26

17

0.98

1

0.61

9

0.47

16

0.59

8

0.34

8

0.6

13

EC.Earth3

0.74

5

0.39

9

0.82

8

0.7

8

0.41

5

0.74

9

0.63

8

0.46

12

0.49

11

0.78

3

0.56

14

0.65

9

0.69

5

0.32

12

0.72

10

FGOALS.g3

0

19

0.17

18

0.76

12

0.15

19

0.13

18

0.76

8

0.3

19

0.2

18

0.81

4

0.36

17

0.42

18

0.75

6

0.01

19

0.16

18

0.76

6

GFDL.ESM4

0.3

18

0.3

11

0.82

7

0.68

9

0.37

8

0.82

5

0.89

2

0.52

7

0.46

12

0.55

8

0.88

2

0.42

17

0.53

11

0.35

6

0.64

12

INM.CM4.8

0.58

9

0.92

1

0.43

17

0.54

13

0.95

2

0.43

17

0.51

11

0.97

2

0.33

14

0.29

18

0.97

1

0.53

13

0.41

15

1

1

0.45

16

INM.CM5.0

0.56

11

0.79

3

0.42

18

0.65

10

0.97

1

0.44

16

0.45

13

0.98

1

0.27

16

0.39

14

0.83

3

0.4

18

0.49

13

0.87

2

0.39

18

IPSL.CM6A.LR

0.48

13

0.43

4

0.62

14

0.36

18

0.54

3

0.68

13

0.82

6

0.45

13

0.55

9

0.73

4

0.62

8

0.51

15

0.39

17

0.37

5

0.58

14

KACE.1.0.G

0.57

10

0.07

19

0.82

6

0.85

4

0.09

19

0.86

3

0.68

7

0.16

19

0.91

1

0.36

16

0.32

19

0.76

3

0.88

3

0.12

19

0.87

3

MIROC6

0.86

2

0.88

2

0.57

16

0.58

12

0.4

7

0.15

19

0.39

17

0.66

4

0.29

15

0.78

2

0.6

12

0.64

10

0.57

10

0.75

3

0.41

17

MIROC.ES2L

0.6

8

0.2

17

0.83

4

0.59

11

0.21

14

0.73

10

0.86

3

0.35

17

0.71

7

0.48

11

0.47

16

0.77

2

0.58

9

0.23

17

0.79

5

MPI.ESM1.2.HR

0.41

14

0.4

8

0.94

1

0.39

17

0.32

10

0.76

7

0.41

16

0.49

8

0.54

10

0.52

10

0.66

7

0.63

12

0.33

18

0.35

7

0.75

8

MPI.ESM1.2.LR

0.34

17

0.42

6

0.79

10

0.71

7

0.33

9

0.73

11

0.45

14

0.46

11

0.59

8

0.53

9

0.61

10

0.66

8

0.47

14

0.34

10

0.72

9

MRI.ESM2.0

0.54

12

0.41

7

0.93

2

0.41

16

0.26

12

0.99

1

0.62

9

0.46

10

0.74

6

0.66

6

0.8

4

0.72

7

0.49

12

0.34

11

0.91

1

NorESM2.LM

0.36

15

0.42

5

0.6

15

0.89

3

0.28

11

0.67

15

0.83

4

0.37

16

0.83

3

0.47

12

0.53

15

0.76

5

0.66

7

0.29

13

0.7

11

UKESM1.0.LL

0.83

4

0.25

13

0.88

3

0.97

1

0.17

16

0.85

4

0.58

10

0.43

14

0.84

2

0.44

13

0.61

11

0.8

1

0.96

2

0.27

16

0.88

2

  1. S = Score; R = Rank.
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