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start [2024/02/13 07:25] okazaki [News / Upcoming Talks] |
start [2024/02/19 02:27] (current) okazaki |
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* Kurosawa, K. et al. Adjoint Workshop. | * Kurosawa, K. et al. Adjoint Workshop. | ||
* JpGU 2024 | * JpGU 2024 | ||
- | * Miyoshi et al. | ||
* Hamamoto, S., Kawakami, K., Sasage, M., Matsumoto, M., Bong, H., Yoshimura, K., Okazaki, A., Matoba, S., Iizuka, Y., Uemura, R., Seasonal Age Scale and Intra-annual Pattern of Oxygen Isotope Record from SE-Dome II Ice core, Greenland, JpGU | * Hamamoto, S., Kawakami, K., Sasage, M., Matsumoto, M., Bong, H., Yoshimura, K., Okazaki, A., Matoba, S., Iizuka, Y., Uemura, R., Seasonal Age Scale and Intra-annual Pattern of Oxygen Isotope Record from SE-Dome II Ice core, Greenland, JpGU | ||
+ | * Inuki, K., Kaneko, R., Okazaki, A., Kotsuki, S., Disentanglement of the features in Rankine vortices using VAE | ||
* Kurosawa, K., Okazaki, A., Exploring Meteorological Interventions through Data Assimilation and Model Predictive Control toward Disaster Mitigation in Extreme Weather Events | * Kurosawa, K., Okazaki, A., Exploring Meteorological Interventions through Data Assimilation and Model Predictive Control toward Disaster Mitigation in Extreme Weather Events | ||
- | * Okazaki, A., Tanoue, M., Kino, K., Cauquoin, A., Yoshimura, K., Estimation of Parameters in an Isotope-Enabled GCM with Data Assimilation and Satellite-Based Observations | + | |
- | * Okazaki, A., Ultra-High Spatiotemporal Resolution Reconstruction of the Climate around Japan with Large Ensemble of Climate Simulations and Old Documents | + | |
+ | * Okazaki, A., Ultra-High Spatiotemporal Resolution Reconstruction of the Climate around Japan with Large Ensemble of Climate Simulations and Old Documents | ||
* Shiraishi, K., Muto, Y., Okazaki, A., Kotsuki, S., Downscaling precipitation data using convolutional neural network coupled with Wasserstein generative adversarial networks | * Shiraishi, K., Muto, Y., Okazaki, A., Kotsuki, S., Downscaling precipitation data using convolutional neural network coupled with Wasserstein generative adversarial networks | ||
* EGU 2024 | * EGU 2024 | ||
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* GEWEX | * GEWEX | ||
* Cheng, J. et al. | * Cheng, J. et al. | ||
- | * Kano, K. et al. | + | * Kino, K. et al. |
+ | * Kurosawa, K. and Okazaki, A. | ||
* Li, Y. et al. | * Li, Y. et al. | ||
* Okazaki, A. et al. | * Okazaki, A. et al. | ||
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* 三好建正, | * 三好建正, | ||
* AMS2024 | * AMS2024 | ||
- | * Miyoshi, T. et al. | + | * Miyoshi, T., Ohishi, S., Liang, J., Konduru, R., Otsuka, S., Kotsuki, S., Terasaki, K., Okazaki, A., Tomita, H., Chen, Y.-W., Kanemaru, K., Satoh, M., Yashiro, H., Okamoto, K., Kalnay, E., Kubota, T., Kachi, M., Advances and applications of satellite data assimilation of clouds, precipitation, |
* Tiwari, G. and Okazaki, A., | * Tiwari, G. and Okazaki, A., | ||
* AGU2023 | * AGU2023 |