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start [2024/02/14 05:42]
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, T., Oishi, S., Tomita, H., Otsuka, S., Taylor, J., Juanyu, L., Konduru, R. T., Satoh, M., Matsugishi, S., Kotsuki, S., Okazaki, A., Honda, T., Okamoto, K., Ikuta, Y., Terasaki, K., Yashiro, H., Kanemaru, K., Yamazaki, S., A platform to design and pre-evaluate frequent satellite observing systems for innovating weather, ocean and land surface prediction, JpGU 2024. 
       * 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 +      * Miyoshi, T., Oishi, S., Tomita, H., Otsuka, S., Taylor, J., Juanyu, L., Konduru, R. T., Satoh, M., Matsugishi, S., Kotsuki, S., Okazaki, A., Honda, T., Okamoto, K., Ikuta, Y., Terasaki, K., Yashiro, H., Kanemaru, K., Yamazaki, S., A platform to design and pre-evaluate frequent satellite observing systems for innovating weather, ocean and land surface prediction, JpGU 2024. 
-      * Okazaki, A., Ultra-High Spatiotemporal Resolution Reconstruction of the Climate around Japan with Large Ensemble of Climate Simulations and Old Documents+      * 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 <html><font color='deeppink'><i>(Invited)</i></font></html> 
 +      * Okazaki, A., Ultra-High Spatiotemporal Resolution Reconstruction of the Climate around Japan with Large Ensemble of Climate Simulations and Old Documents <html><font color='deeppink'><i>(Invited)</i></font></html>
       * 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.
start.1707889337.txt.gz · Last modified: 2024/02/14 05:42 by okazaki