The TOPSIS technique takes the weights assigned by the entropy technique as input. Then ranks were assigned to each GCM according to TOPSIS metric values, and these metrics were determined by comparing simulated monthly rainfall data of 21 GCMs with observed monthly data of Surat City corresponding to the period 1969–2005. Table 2 displays the rankings given to 21 GCMs. TOPSIS metric values for the top five ranks are 0.986, 0.936, 0.910, 0.863, and 0.843, respectively. As a result, simulations of the top five GCMs are employed in the further analysis.
Values of performance indicators, TOPSIS metric values, and ranks of 21 GCMs
Sr. NO. . | GCM Name . | CC . | NRMSD . | ANMBD . | NSE . | TOPSIS METRIC . | RANK . |
---|---|---|---|---|---|---|---|
1 | NorESM1-M | 0.43 | 2.11 | 1.05 | 0.29 | 0.986 | 1 |
2 | bcc-csm1-1 | 0.53 | 1.82 | 0.90 | 0.23 | 0.936 | 2 |
3 | CNRM-CM5 | 0.50 | 1.95 | 0.98 | 0.21 | 0.910 | 3 |
4 | MIROC-ESM | 0.50 | 1.83 | 0.88 | 0.16 | 0.863 | 4 |
5 | GFDL-CM3 | 0.44 | 2.03 | 0.94 | 0.14 | 0.843 | 5 |
6 | IPSL-CMSA-LR | 0.50 | 1.88 | 0.95 | 0.14 | 0.841 | 6 |
7 | MIROC-ECM-CHEM | 0.56 | 1.72 | 0.86 | 0.12 | 0.823 | 7 |
8 | MIROC5 | 0.48 | 1.98 | 0.98 | 0.11 | 0.810 | 8 |
9 | MPI-ESM-MR | 0.59 | 1.66 | 0.84 | 0.08 | 0.781 | 9 |
10 | GFDL-ESM2G | 0.43 | 2.15 | 1.06 | 0.08 | 0.774 | 10 |
11 | Can-ESM2 | 0.47 | 1.97 | 1.01 | 0.07 | 0.772 | 11 |
12 | ACCESS1-0 | 0.57 | 1.96 | 1.02 | 0.06 | 0.754 | 12 |
13 | CESM1-BGC | 0.52 | 1.99 | 1.01 | 0.04 | 0.737 | 13 |
14 | MPI-ESM-LR | 0.52 | 1.83 | 0.88 | 0.02 | 0.715 | 14 |
15 | inmcm4 | 0.39 | 2.27 | 1.16 | −0.15 | 0.533 | 15 |
16 | CCSM4 | 0.45 | 1.99 | 1.00 | −0.18 | 0.506 | 16 |
17 | BNU-ESM | 0.47 | 1.99 | 1.03 | −0.24 | 0.443 | 17 |
18 | GFDL-ESM2M | 0.45 | 2.07 | 1.03 | −0.24 | 0.439 | 18 |
19 | IPSL-CMSA-MR | 0.45 | 1.99 | 0.99 | −0.25 | 0.431 | 19 |
20 | CSIRO-Mk3-′6-0 | 0.35 | 2.45 | 1.13 | −0.90 | 0.165 | 20 |
21 | MRI-CGCM3 | 0.43 | 2.19 | 1.01 | −0.66 | 0.008 | 21 |
Sr. NO. . | GCM Name . | CC . | NRMSD . | ANMBD . | NSE . | TOPSIS METRIC . | RANK . |
---|---|---|---|---|---|---|---|
1 | NorESM1-M | 0.43 | 2.11 | 1.05 | 0.29 | 0.986 | 1 |
2 | bcc-csm1-1 | 0.53 | 1.82 | 0.90 | 0.23 | 0.936 | 2 |
3 | CNRM-CM5 | 0.50 | 1.95 | 0.98 | 0.21 | 0.910 | 3 |
4 | MIROC-ESM | 0.50 | 1.83 | 0.88 | 0.16 | 0.863 | 4 |
5 | GFDL-CM3 | 0.44 | 2.03 | 0.94 | 0.14 | 0.843 | 5 |
6 | IPSL-CMSA-LR | 0.50 | 1.88 | 0.95 | 0.14 | 0.841 | 6 |
7 | MIROC-ECM-CHEM | 0.56 | 1.72 | 0.86 | 0.12 | 0.823 | 7 |
8 | MIROC5 | 0.48 | 1.98 | 0.98 | 0.11 | 0.810 | 8 |
9 | MPI-ESM-MR | 0.59 | 1.66 | 0.84 | 0.08 | 0.781 | 9 |
10 | GFDL-ESM2G | 0.43 | 2.15 | 1.06 | 0.08 | 0.774 | 10 |
11 | Can-ESM2 | 0.47 | 1.97 | 1.01 | 0.07 | 0.772 | 11 |
12 | ACCESS1-0 | 0.57 | 1.96 | 1.02 | 0.06 | 0.754 | 12 |
13 | CESM1-BGC | 0.52 | 1.99 | 1.01 | 0.04 | 0.737 | 13 |
14 | MPI-ESM-LR | 0.52 | 1.83 | 0.88 | 0.02 | 0.715 | 14 |
15 | inmcm4 | 0.39 | 2.27 | 1.16 | −0.15 | 0.533 | 15 |
16 | CCSM4 | 0.45 | 1.99 | 1.00 | −0.18 | 0.506 | 16 |
17 | BNU-ESM | 0.47 | 1.99 | 1.03 | −0.24 | 0.443 | 17 |
18 | GFDL-ESM2M | 0.45 | 2.07 | 1.03 | −0.24 | 0.439 | 18 |
19 | IPSL-CMSA-MR | 0.45 | 1.99 | 0.99 | −0.25 | 0.431 | 19 |
20 | CSIRO-Mk3-′6-0 | 0.35 | 2.45 | 1.13 | −0.90 | 0.165 | 20 |
21 | MRI-CGCM3 | 0.43 | 2.19 | 1.01 | −0.66 | 0.008 | 21 |