3 papers
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…
cs.LG2024
Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1
Shunji Kotsuki, Kenta Shiraishi, Atsushi Okazaki
Artificial intelligence (AI)-based weather prediction research is growing rapidly and has shown to be competitive with the advanced dynamic numerical weather prediction models. How…
physics.ao-ph2024
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,…