most citedHybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.data-an2021

Paradigm Shift Through the Integration of Physical Methodology and Data Science

Takashi Miyamoto

Data science methodologies, which have undergone significant developments recently, provide flexible representational performance and fast computational means to address the challe…

physics.comp-ph2020★ 2 cited

Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting

Shitao Zheng, Takashi Miyamoto, Koyuru Iwanami +2

With the accumulation of meteorological big data, data-driven models for short-term precipitation forecasting have shown increasing promise. We focus on Koopman operator analysis,…