Climate models are widely used to assess climate risks. Bias adjustment methods are often used to reduce biases in model simulations. Our research focuses on a bias adjustment method based on topography adjustment that considers the interactions between climate variables. Results indicate added bias over mountainous regions; however, they also show bias reductions over low-altitude regions, highlighting potential application over regions with limited observation data.