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Evaluation of Climate Models Using Bergen Metrics as a Multi-Metrics Comparison over Indonesia Cover

Evaluation of Climate Models Using Bergen Metrics as a Multi-Metrics Comparison over Indonesia

Open Access
|May 2026

Figures & Tables

Figure 1:

Topographic map of Indonesia and surrounding countries

Figure 2:

Spatial mapping of IVS performance in precipitation

Figure 3:

Spatial mapping of nMAE performance in precipitation

Figure 4:

Spatial mapping of IVS performance at minimum temperature

Figure 5:

Spatial mapping of nMAE performance at minimum temperature

Figure 6:

Spatial mapping of IVS performance in average temperature

Figure 7:

Spatial mapping of nMAE performance in average temperature

Figure 8:

Spatial mapping of IVS performance at maximum temperature

Figure 9:

Spatial mapping of nMAE performance at maximum temperature

Model’s performance on precipitation

ModelTSSIVSnMAEKGEWI
ACCESS-CM20.2120.7161.231−0.5640.168
CNRM-CM6-1-HR0.2100.8551.185−0.5880.213
EC-Earth30.2310.6321.096−0.4940.241
EC-Earth3-Veg0.2300.6311.099−0.4940.241
HADGEM-GC31-MM0.1841.0921.191−0.4490.225
MPI-ESM1-2-HR0.2351.2610.972−0.3310.303

Bergen metrics on overall model’s performance

ModelPrecipitationMinimum TemperatureAverage TemperatureMaximum TemperatureBM
ACCESS-CM22.414.203.082.426.23
CNRM-CM6-1-HR2.433.023.463.526.28
EC-Earth32.242.943.162.995.71
EC-Earth3-Veg2.242.903.082.925.61
HADGEM-GC31-MM2.443.162.652.785.54
MPI-ESM1-2-HR2.323.183.233.176.00

List of global climate model dataset

No.InstitutionModelHorizontal Resolution
1Common wealth Scientific and Industrial Research Organisation (CSIRO), Australia (Dix et al., 2019)ACCESS-CM2∼1.875° × 1.25° (192 × 144 grid)
2Centre National de Recherches Meteorologiques (CNRM), France (Voldoire, 2019)CNRM-CM6-HR∼0.5° (720 × 360 grid)
3EC-Earth Consortium ((EC-Earth), 2019a)EC-Earth3∼0.7° (512 × 256 grid)
4EC-Earth Consortium ((EC-Earth), 2019b)EC-Earth3-Veg∼0.7° (512 × 256 grid)
5Met Office Hadley Centre, United Kingdom (Ridley et al., 2019)HadGEM3-GC31-MM∼0.83° (432 × 324 grid)
6Max Planck Institute for Meteorology, Germany (Jungclaus et al., 2019)MPI-ESM1-2-HR∼0.94° (384 × 192 grid)

Model’s performance on average temperature

ModelTSSIVSnMAEKGEWI
ACCESS-CM20.3760.3632.6180.127−0.150
CNRM-CM6-1-HR0.7660.3433.0320.119−0.352
EC-Earth30.5770.6432.6350.078−0.259
EC-Earth3-Veg0.5740.6452.5540.083−0.241
HADGEM-GC31-MM0.5940.3382.118−0.038−0.094
MPI-ESM1-2-HR0.4890.8312.6420.066−0.266

Model’s performance at maximum temperature

ModelTSSIVSnMAEKGEWI
ACCESS-CM20.3290.2591.8500.119−0.060
CNRM-CM6-1-HR0.6730.3953.0300.034−0.420
EC-Earth30.4990.4362.4660.094−0.273
EC-Earth3-Veg0.4950.4422.3880.101−0.252
HADGEM-GC31-MM0.5120.3672.184−0.064−0.194
MPI-ESM1-2-HR0.4570.6722.5890.048−0.307

Model’s performance at minimum temperature

ModelTSSIVSnMAEKGEWI
ACCESS-CM20.3920.5583.7480.001−0.392
CNRM-CM6-1-HR0.6810.5872.4970.005−0.211
EC-Earth30.5410.4992.4190.037−0.193
EC-Earth3-Veg0.5400.5192.3650.039−0.176
HADGEM-GC31-MM0.5600.5482.615−0.084−0.224
MPI-ESM1-2-HR0.4310.5862.648−0.010−0.197

Rank-based weighting on overall model’s performance

ModelPrecipitationMinimum temperatureAverage temperatureMaximum temperatureRANK
ACCESS-CM24.384.047.0010.500.161
CNRM-CM6-1-HR4.386.186.185.000.135
EC-Earth39.5510.505.535.830.195
EC-Earth3-Veg7.5011.676.186.180.196
HADGEM-GC31-MM4.775.259.557.500.168
MPI-ESM1-2-HR10.504.574.044.200.145
DOI: https://doi.org/10.2478/cee-2026-0107 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
Language: English
Submitted on: Jan 23, 2026
Accepted on: Feb 24, 2026
Published on: May 22, 2026
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Mas Agus Mardyanto, Asyam Mulayyan Dary, R Irwan Bagyo Santoso, Ervin Nurhayati, Hilmi Putra Pradana, Achmad Muzakky, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.

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