Thu. May 30, 2024 1:45 PM - 3:15 PM 106 (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data-driven approaches for weather and hydrological predictions

convener:Shunji Kotsuki(Center for Environmental Remote Sensing, Chiba University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Atsushi Okazaki(Chiba University), Yohei Sawada(The University of Tokyo), Chairperson:Atsushi Okazaki(Chiba University)

Thu. May 30, 2024 3:30 PM - 4:45 PM 106 (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data-driven approaches for weather and hydrological predictions

convener:Shunji Kotsuki(Center for Environmental Remote Sensing, Chiba University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Atsushi Okazaki(Chiba University), Yohei Sawada(The University of Tokyo), Chairperson:Yohei Sawada(The University of Tokyo)

Thu. May 30, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

[E] Poster
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data-driven approaches for weather and hydrological predictions

convener:Shunji Kotsuki(Center for Environmental Remote Sensing, Chiba University), Daisuke Matsuoka(Japan Agency for Marine-Earth Science and Technology), Atsushi Okazaki(Chiba University), Yohei Sawada(The University of Tokyo)

Mon. May 27, 2024 3:30 PM - 4:45 PM 105 (International Conference Hall, Makuhari Messe)

[E] Oral
| A (Atmospheric and Hydrospheric Sciences )
| A-CG Complex & General

[A-CG36] Satellite Earth Environment Observation

3:45 PM - 4:00 PM

[ACG36-17] Ecohydrological Land Reanalysis: A semi-global vegetation water content and soil moisture dataset by land data assimilation

*Yohei Sawada¹, Hideyuki Fujii^2,3, Hiroyuki Tsutsui⁴, Toshio Koike⁴, Kentaro Aida², Rigen Shimada², Misako Kachi² (1.The University of Tokyo, 2.Japan Aerospace eXploration Agency, 3.Remote Sensing Technology Center of Japan, 4.International Centre for Water Hazard and Risk Management (ICHARM), Public Works Research Institute (PWRI))

Fri. May 31, 2024 1:45 PM - 3:15 PM 104 (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-IS Intersection

[M-IS06] Extreme Weather and Water Related Disasters in Asia

3:00 PM - 3:15 PM

[MIS06-06] What Drives Extreme Sea Levels in Japan: Unraveling the Dynamics of Storm Surge and Mean Sea Level Trends

★Invited Papers

*Md. Rezuanul Islam¹, Le Duc^1,2, Yohei Sawada^1,2, Masaki Satoh¹ (1.The University of Tokyo, 2.Meteorological Research Institute, JMA)

Thu. May 30, 2024 9:00 AM - 10:15 AM 104 (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI24] Data assimilation: A fundamental approach in geosciences

10:00 AM - 10:15 AM

[MGI24-05] Strongly vs. Weakly Coupled Data Assimilation in Coupled Systems with Various Inter-Compartment Interactions

Norihiro Miwa¹, *Yohei Sawada^1,2 (1.The University of Tokyo, 2.Meteorological Research Institute, Japan Meteorological Agency)

Thu. May 30, 2024 1:45 PM - 3:15 PM 106 (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data-driven approaches for weather and hydrological predictions

2:30 PM - 2:45 PM

[MGI26-04] Advancing Multi-Hazard Worst-Case Scenario Analysis: Maximizing the Potential of Large Ensemble Tropical Cyclone Forecasts

*Md. Rezuanul Islam¹, Le Duc^1,2, Yohei Sawada^1,2 (1.The Univ. of Tokyo, 2.Meteorological Research Institute, JMA)

3:00 PM - 3:15 PM

[MGI26-06] Earth System Modeling in Latent Space: A Time-Varying Parameter Approach

*Yohei Sawada^1,2, Le Duc -^1,2 (1.The University of Tokyo, 2.Meteorological Research Institute, Japan Meteorological Agency)

Thu. May 30, 2024 3:30 PM - 4:45 PM 106 (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data-driven approaches for weather and hydrological predictions

3:45 PM - 4:00 PM

[MGI26-08] Parameter estimation of an atmospheric model using geostationary satellite observation to improve prediction of tropical cyclones: an idealized experiment

*Yuki Hirose¹, Futo Tomizawa¹, Le Duc^1,2, Yohei Sawada^1,2 (1.The University of Tokyo, 2.Meteorological Research Institute, Japan Meteorological Agency)

4:00 PM - 4:15 PM

[MGI26-09] Uncertainty Quantification of Flood Hazards Focusing on Parameters of a Rainfall-Runoff-Inundation Coupled Model

*Naoki Hiura¹, Yohei Sawada¹ (1.The University of Tokyo)

Yohei Sawada

Convener, Chairperson

[M-GI26] Data-driven approaches for weather and hydrological predictions

[M-GI26] Data-driven approaches for weather and hydrological predictions

[M-GI26] Data-driven approaches for weather and hydrological predictions

Speaker, Author, Co-Author

[A-CG36] Satellite Earth Environment Observation

[ACG36-17] Ecohydrological Land Reanalysis: A semi-global vegetation water content and soil moisture dataset by land data assimilation

[M-IS06] Extreme Weather and Water Related Disasters in Asia

[MIS06-06] What Drives Extreme Sea Levels in Japan: Unraveling the Dynamics of Storm Surge and Mean Sea Level Trends

★Invited Papers

[M-GI24] Data assimilation: A fundamental approach in geosciences

[MGI24-05] Strongly vs. Weakly Coupled Data Assimilation in Coupled Systems with Various Inter-Compartment Interactions

[M-GI26] Data-driven approaches for weather and hydrological predictions

[MGI26-04] Advancing Multi-Hazard Worst-Case Scenario Analysis: Maximizing the Potential of Large Ensemble Tropical Cyclone Forecasts

[MGI26-06] Earth System Modeling in Latent Space: A Time-Varying Parameter Approach

[M-GI26] Data-driven approaches for weather and hydrological predictions

[MGI26-08] Parameter estimation of an atmospheric model using geostationary satellite observation to improve prediction of tropical cyclones: an idealized experiment

[MGI26-09] Uncertainty Quantification of Flood Hazards Focusing on Parameters of a Rainfall-Runoff-Inundation Coupled Model