抄録
The Editorial Committee of Scientific Online Letters on the Atmosphere (SOLA) presents the SOLA Award to one or two outstanding papers published each year. We are pleased to announce that The SOLA Award in 2024 will be given to the paper by Dr. Yohei Sawada, entitled "Ensemble Kalman Filter Meets Model Predictive Control in Chaotic Systems" (Sawada 2024).
Sawada (2024):
Data assimilation originated from control theory and plays an important role in the prediction of various Earth sciences, including meteorology. In recent years, attention has shifted from simple prediction to weather control, aiming to mitigate the impact of meteorological disasters by modifying the atmospheric states based on predictions. This study proposes a new method for weather control based on the ensemble Kalman filter (EnKF), one of the major data assimilation methods. The new method leverages the similarity between the cost functions minimized in EnKF and model predictive control. The proposed method obtains appropriate perturbations for control by assimilating the target state in model predictive control as pseudo-observations. This study evaluates the new method alongside conventional approaches using a simple dynamical system, demonstrating the new method’s superior ability to control state variables and its sensitivity to tunable parameters. The greatest advantage of the new method lies in its compatibility with EnKF, paving the way for extensions and optimizations using existing EnKF and applications in control problems in other fields. The editorial committee highly evaluates the significance of this study and therefore presents "The SOLA Award".
