Takemasa Miyoshi

Department of Atmospheric and Oceanic Science, University of Maryland, College Park

United States

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Articles (10)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (7)

Martin Weissmann

Universität Wien

AUSTRIA

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Philipp Johannes Griewank

Universität Wien

AUSTRIA

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Masaki Satoh

Atmosphere and Ocean Research Institute, The University of Tokyo

JAPAN

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Jianyu Liang

RIKEN Center for Computational Science

JAPAN

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Yousuke Sato

Associate Professor

Hokkaido University

JAPAN

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Ulrich Löhnert

GERMANY

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Arata Amemiya

RIKEN Center for Computational Science

JAPAN

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Takemasa Miyoshi

Research Interests

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Articles (10)

Analyzing the Instabilities in the Venus Atmosphere Using Bred Vectors

Application of Recurrent Neural Networks to Model Bias Correction: Idealized Experiments With the Lorenz‐96 Model

Guidance on how to improve vertical covariance localization based on a 1000-member ensemble

Estimating the benefit of Doppler wind lidars for short‐term low‐level wind ensemble forecasts

Ensemble‐Based Data Assimilation of GPM DPR Reflectivity: Cloud Microphysics Parameter Estimation With the Nonhydrostatic Icosahedral Atmospheric Model (NICAM)

Regression-Based Ensemble Perturbations for the Zero-Gradient Issue Posed in Lightning-Flash Data Assimilation with an Ensemble Kalman Filter

Comparative study of strongly and weakly coupled data assimilation with a global land–atmosphere coupled model

Control simulation experiments of extreme events with the Lorenz-96 model

Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter

An ensemble Kalman filter-based ocean data assimilation system improved by adaptive observation error inflation (AOEI)

Collaborators (7)

Martin Weissmann

Philipp Johannes Griewank

Masaki Satoh

Jianyu Liang

Yousuke Sato

Ulrich Löhnert

Arata Amemiya

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