3 papers
physics.geo-ph2026
Preemptive Ensemble Forecast Sensitivity to Observations
Fumitoshi Kawasaki, Shunji Kotsuki
Estimating the impact of observations newly added to an existing numerical weather prediction (NWP) system requires reintegrating the ensemble forecast from the analysis that assim…
physics.geo-ph2026
Ensemble Forecast Updates without Model Re-integration Based on Ultra-rapid Data Assimilation: Idealized Experiments with a Heavy Rainfall Case
Fumitoshi Kawasaki, Kenta Kurosawa, Atsushi Okazaki +1
Observations at high frequency have become dramatically more abundant with recent technological advances. Ultra-rapid data assimilation (URDA) has been proposed to exploit them, fr…
physics.geo-ph2025
Exploring Ultra Rapid Data Assimilation Based on Ensemble Transform Kalman Filter with the Lorenz 96 Model
Fumitoshi Kawasaki, Atsushi Okazaki, Kenta Kurosawa +1
Ultra-rapid data assimilation (URDA) is a method that rapidly updates preemptive forecasts derived from observations without integrating a dynamical model each time additional obse…