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…
physics.ao-ph2025
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,…
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…