## 1 Introduction  
Understanding climate change is important for scientific research and future policy planning. The Earth System Model (ESM) has become a key tool for understanding climate systems and evaluating climate extremes in the future [1]. Currently, the Coupled Model Inter-comparison Project (CMIP), by using multiple ESMs, plays a central role in climatological research and projection by climate change communities such as the International Panel on Climate Change (IPCC) [2]. Standardized scales, inputs, and file formats have facilitated the inter-comparison and ensemble analysis of models [2]. Recently, CMIP6 (6 Phase) was developed as a new-generation tool with a more complex model system than previous versions, adopting improved physical/chemical processes and providing finer spatial resolutions [2]. The Detection and Attribution Model Inter-comparison Project (DAMIP) experiment is one of the CMIP6-Endorsed MIPs (experiments). This MIP investigates external force attributions and provides observational constraints on the climate system [2]. This constrained experiment can assist both scientists attempting to understand the climate system and policymakers that are developing future plans. The DAMIP was conceptualized by CMIP3, but few of its studies were publicly available before CMIP5. By separating forcing experiments from synthetic forcing, the DAMIP in CMIP6 enables assessments of anthropogenic impacts (e.g., greenhouse gas emission and aerosols), thus highlighting human influences on climate change and providing climate system behaviors such as the transient climate response (TCR) [3]. CMIP6 has employed new models and reduced the uncertainties in anthropogenic-related forcing by clarifying the separation between greenhouse gases and other anthropogenic emissions. In CMIP5, the aerosols were not separated from anthropogenic emissions. Rather, DAMIP historical simulation initially included only the changes in natural forcing and greenhouse gases (GHG), although separation was later performed in CMIP5 [3; 4]. Aerosol separation has been emphasized because aerosols can be anthropologically (e.g., air pollutants) or naturally (e.g., volcano) sourced. The problem with unclear separation has largely propagated uncertainties of climate model by the interaction with other factors such as ozone and land use, especially as simulation periods lengthen and the models become updated to sophisticated chemical reactions. The uncertainties related to aerosols are further exacerbated by the different spatiotemporal patterns between models [4; 5]. The DAMIP of CMIP6 has three fully separated major forcings: natural-only (NAT), GHG-only (GHG), and aerosol-only (AER) [4]. It also provides volcano-only (volc), stratospheric-ozone-only (stratO3), and SSP-4.5 simulations, thus widening the range of experiments embracing present and future information in order to explore climate-change triggers [3]. Many DAMIP-based studies have verified different roles for anthropogenic and natural forcings and their contribution degrees to climate change. In some studies, models have been evaluated via isolated experiments. In a CMIP5 DAMIP study, [PERSON] et al. [6] found that anthropogenic forcing affects global and regional monsoon rainfall. In particular, anthropogenic signals (GHG and aerosol forcing) largely affect African monsoons and also cause asymmetric precipitation amounts between the Northern Hemisphere (NH) in the African monsoon domain and the Southern Hemisphere (SH) in the Asian-Australian monsoon domain. [PERSON] et al. [7] detected the error in five ESMs by studying regional dimming and brightening effects of aerosols. [PERSON] et al. [8] found that GHG is the main contributor to planetary energy unbalances. In their analysis, the unbalance was reduced by AER and northward oceanic transport.