Kinya Toride

I am a research scientist passionate about pushing the boundaries of deep learning techniques in weather and climate applications. With a focus on enhancing forecast accuracy and interpretability, I have developed an innovative seasonal forecasting method by integrating deep learning with the analog forecasting approach. Leveraging my expertise in extreme weather, stochastic modeling, data assimilation, and climate reconstruction, I aim to drive meaningful advancements in the field.

Feel free to reach out for discussions or collaborations.

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My current and past research topics include:​

• Hybrid deep learning and analog forecasting of ENSO

• Mechanism and subseasonal forecasting of atmospheric river

• Improving weather forecasting by satellite water vapor isotope data

• Historical weather reconstruction using old diaries and data assimilation

• Characterization of extreme precipitation

• Stochastic modeling of unsaturated flow in heterogeneous soils

• High-resolution soil moisture monitoring by assimilating active and passive microwave remote sensing

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Appointments

2022 - present   Research Scientist I, CIRES, University of Colorado, Boulder/ NOAA Physical Sciences Laboratory

2019 - 2022       Postdoctoral Researcher, Atmospheric Sciences, University of Washington

2019 - 2022       Postdoctoral Researcher, Institute of Industrial Science, University of Tokyo

2015 - 2019       Graduate Student Researcher, Civil and Environmental Engineering, University of California, Davis

Education

2019   Ph.D.     Civil and Environmental Engineering, University of California, Davis

2019   M.S.       Atmospheric Science, University of California, Davis

2015   M.Eng.   Civil Engineering, University of Tokyo, Japan

2014   B.Eng.   Civil Engineering, University of Tokyo, Japan

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Awards and Fellowships

2019 - 2022   JSPS Cross-border Postdoctoral (CPD) Fellowship

2019              JSPS Superlative Postdoctoral (SPD) Fellowship

2017              Johannes “Joe” DeVries Graduate Student Award, University of California, Davis