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start [2024/02/13 07:25] okazaki [News / Upcoming Talks] |
start [2024/05/07 02:19] okazaki [News / Upcoming Talks] |
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| Line 12: | Line 12: | ||
| * 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 | ||
| Line 23: | Line 24: | ||
| * 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. | ||
| Line 29: | Line 31: | ||
| * 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 | ||
| Line 44: | Line 46: | ||
| * Okazaki, A. et al., Estimation of parameters in an isotope-enabled GCM with data assimilation, | * Okazaki, A. et al., Estimation of parameters in an isotope-enabled GCM with data assimilation, | ||
| * Hamamoto, S. et al., Seasonally Resolved Age Scale for Greenland SE-Dome II Ice Core Based on Oxygen Isotope Record, JpGU Meeting 2023, Chiba, Japan, 21-26 May 2023. | * Hamamoto, S. et al., Seasonally Resolved Age Scale for Greenland SE-Dome II Ice Core Based on Oxygen Isotope Record, JpGU Meeting 2023, Chiba, Japan, 21-26 May 2023. | ||
| - | * Bong, H., et al., PROCESS-BASED QUANTIFICATION OF UNCERTAINTY IN WATER ISOTOPE MODELS, International Symposium on Isotope Hydrology, 2023. | + | * Bong, H., Cauquoin, A., Okazaki, A., Chang, E.-C., Werner. M., Wei, Z., Yao, N., Yoshimura, K., PROCESS-BASED QUANTIFICATION OF UNCERTAINTY IN WATER ISOTOPE MODELS, International Symposium on Isotope Hydrology, 2023. |
| - | * Cauquoin, A. et al., Implementation of tritium in the Atmospheric General Circulation Model MIROC5-iso to investigate the dynamics of the hydrological cycle, International Symposium on Isotope Hydrology, 2023. | + | * Cauquoin, A. Fourre, E., Landaiss, A., Okazaki, A., Yoshimura, K., Implementation of tritium in the Atmospheric General Circulation Model MIROC5-iso to investigate the dynamics of the hydrological cycle, International Symposium on Isotope Hydrology, 2023. |
| - | * Kino, K. et al., Heavy Water Isotope Precipitation in Inland East Antarctica Accompanied by Strong Southern Westerly Winds during the Last Glacial Maximum, EGU General Assembly 2023, Vienna, Austria, 23-28 April 2023. | + | * Kino, K., Cauquoin, A., Okazaki, A., Yoshimura, K., Heavy Water Isotope Precipitation in Inland East Antarctica Accompanied by Strong Southern Westerly Winds during the Last Glacial Maximum, EGU General Assembly 2023, Vienna, Austria, 23-28 April 2023. |
| * Awarded " | * Awarded " | ||
| * Will attend Uncertainty quantification in models and data, [[https:// | * Will attend Uncertainty quantification in models and data, [[https:// | ||
start.txt · Last modified: 2024/05/14 11:56 by okazaki
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