A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation von Tandeo, Pierre, Ailliot, Pierre, Bocquet, Marc, Carrassi, Alberto, Miyoshi, Takemasa, Pulido, Manuel, Zhen, Yicun

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Machine learning-based tsunami inundation prediction derived from offshore observations von Mulia, Iyan E., Ueda, Naonori, Miyoshi, Takemasa, Gusman, Aditya Riadi, Satake, Kenji

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On the properties of ensemble forecast sensitivity to observations von Kotsuki, Shunji, Kurosawa, Kenta, Miyoshi, Takemasa

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Adaptive covariance relaxation methods for ensemble data assimilation: experiments in the real atmosphere von Kotsuki, Shunji, Ota, Yoichiro, Miyoshi, Takemasa

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Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter von Li, Hong, Kalnay, Eugenia, Miyoshi, Takemasa

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Sampling Error Correction Evaluated Using a Convective-Scale 1000-Member Ensemble von Necker, Tobias, Weissmann, Martin, Ruckstuhl, Yvonne, Anderson, Jeffrey, Miyoshi, Takemasa

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A Machine Learning Approach to the Observation Operator for Satellite Radiance Data Assimilation von LIANG, Jianyu, TERASAKI, Koji, MIYOSHI, Takemasa

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A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields von Mulia, Iyan E., Ueda, Naonori, Miyoshi, Takemasa, Iwamoto, Takumu, Heidarzadeh, Mohammad

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The Gaussian Approach to Adaptive Covariance Inflation and Its Implementation with the Local Ensemble Transform Kalman Filter von MIYOSHI, Takemasa

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A 1024-Member NICAM-LETKF Experiment for the July 2020 Heavy Rainfall Event von Terasaki, Koji, Miyoshi, Takemasa

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LORA: a local ensemble transform Kalman filter-based ocean research analysis von Ohishi, Shun, Miyoshi, Takemasa, Kachi, Misako

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Assimilating Every‐10‐minute Himawari‐8 Infrared Radiances to Improve Convective Predictability von Sawada, Yohei, Okamoto, Kozo, Kunii, Masaru, Miyoshi, Takemasa

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Balance and Ensemble Kalman Filter Localization Techniques von GREYBUSH, Steven J, KALNAY, Eugenia, MIYOSHI, Takemasa, IDE, Kayo, HUNT, Brian R

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Assimilating AMSU-A Radiances with the NICAM-LETKF von TERASAKI, Koji, MIYOSHI, Takemasa

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Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review von RUIZ, Juan Jose, PULIDO, Manuel, MIYOSHI, Takemasa

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EFSR: Ensemble Forecast Sensitivity to Observation Error Covariance von Hotta, Daisuke, Kalnay, Eugenia, Ota, Yoichiro, Miyoshi, Takemasa

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A convective‐scale 1,000‐member ensemble simulation and potential applications von Necker, Tobias, Geiss, Stefan, Weissmann, Martin, Ruiz, Juan, Miyoshi, Takemasa, Lien, Guo‐Yuan

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3. Prediction experiments by simulations using “Fugaku” von MIYOSHI, Takemasa

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“Big Data Assimilation” Revolutionizing Severe Weather Prediction von Miyoshi, Takemasa, Kunii, Masaru, Ruiz, Juan, Lien, Guo-Yuan, Satoh, Shinsuke, Ushio, Tomoo, Bessho, Kotaro, Seko, Hiromu, Tomita, Hirofumi, Ishikawa, Yutaka

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Predictability of the July 2018 Heavy Rain Event in Japan Associated with Typhoon Prapiroon and Southern Convective Disturbances von Honda, Takumi, Miyoshi, Takemasa

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