143 citations · 144 across the 4 of their papers we have counts for
4 papers
On methods for assessment of the influence and impact of observations in convection-permitting numerical weather prediction
Guannan Hu, Sarah L. Dance, Alison Fowler +11
In numerical weather prediction (NWP), a large number of observations are used to create initial conditions for weather forecasting through a process known as data assimilation. An…
Analysis of COVID-19 in Japan with Extended SEIR model and ensemble Kalman filter
Qiwen Sun, Serge Richard, Takemasa Miyoshi
We introduce an extended SEIR infectious disease model with data assimilation for the study of the spread of COVID-19. In this framework, undetected asymptomatic and pre-symptomati…
Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo
C. Sun, S. Richard, T. Miyoshi
In this paper we introduce an agent-based model together with a particle filter approach for studying the spread of COVID-19. Investigations are performed on the metropolis of Toky…
A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation
Pierre Tandeo, Pierre Ailliot, Marc Bocquet +4
Data assimilation combines forecasts from a numerical model with observations. Most of the current data assimilation algorithms consider the model and observation error terms as ad…