28 citations · 32 across the 6 of their papers we have counts for
6 papers
An efficient and robust estimation of spatio-temporally distributed parameters in dynamic models by an ensemble Kalman filter
Yohei Sawada, Le Duc
The accuracy of Earth system models is compromised by unknown and/or unresolved dynamics, making the quantification of systematic model errors essential. While a model parameter es…
An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation
Yohei Sawada
It is crucially important to estimate unknown parameters in earth system models by integrating observation and numerical simulation. For many applications in earth system sciences,…
Ecohydrological land reanalysis
Yohei Sawada, Hiroyuki Tsutsui, Hideyuki Fujii +1
The accurate estimation of terrestrial water and vegetation is a grand challenge in hydrometeorology. Many previous studies developed land data assimilation systems (LDASs) and pro…
Socio-meteorology: flood prediction, social preparedness, and cry wolf effects
Yohei Sawada, Rin Kanai, Hitomu Kotani
To improve the efficiency of flood early warning systems (FEWS), it is important to understand the interactions between natural and social systems. The high level of trust in autho…
Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models
Futo Tomizawa, Yohei Sawada
Prediction of spatio-temporal chaotic systems is important in various fields, such as Numerical Weather Prediction (NWP). While data assimilation methods have been applied in NWP,…
Machine learning accelerates parameter optimization and uncertainty assessment of a land surface model
Yohei Sawada
The performance of land surface models (LSMs) significantly affects the understanding of atmospheric and related processes. Many of the LSMs' soil and vegetation parameters were un…