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physics.ao-ph2026
Sparse Sensor Placement for Reducing Forecast Errors in Ensemble Kalman Filtering
Takumi Saito, Shunji Kotsuki
Designing efficient observation networks for reducing forecast errors is a fundamental challenge in numerical weather prediction. Data-driven sparse sensor placement (SSP) and ense…
physics.ao-ph2024★ 3 cited
Convex Optimization of Initial Perturbations toward Quantitative Weather Control
Toshiyuki Ohtsuka, Atsushi Okazaki, Masaki Ogura +1
This study proposes introducing convex optimization to find initial perturbations of atmospheric states to realize specified changes in subsequent weather. In the proposed method,…