[A-CG63] Satellite Earth Environment Observation

Thu. May 28, 2026 1:45 PM - 3:15 PM 104 (International Conference Hall, Makuhari Messe)

Chairperson:Sekiguchi Miho(Tokyo University of Marine Science and Technology), Takahashi Nobuhiro(Institute for Space-Earth Environmental Research, Nagoya University)

In recent years, we have practically recognized the impacts of global environmental change across various spatial and temporal scales. The increasing frequency of extreme weather events, sea level rise, ecosystem changes, etc. highlight the complexity and multifaceted nature of these changes, making their monitoring, prediction, and the development of adaptation strategies urgent challenges. Satellite observations are indispensable as a foundational tool in this context. Advances in sensor technology, model assimilation, and AI-driven data processing have enabled sophisticated applications such as multi-sensor data integration, coupling with numerical models, and the construction of digital twins. The growing involvement of private-sector small satellites and the accumulation of over 40 years of observational data are also opening new possibilities for long-term change analysis.
In light of the increasingly integrated and advanced utilization of satellite data, we propose this session under "the Atmospheric and Hydrospheric Sciences (A) - Complex & General (CG)" aims to provide a platform for cross-disciplinary presentations and discussions that deepen our understanding of global environmental change and explore future directions for satellite Earth observation.

+Add all to schedule

1:45 PM - 2:00 PM

[ACG63-13] Advancement and AI integration of satellite data assimilation of clouds, precipitation, and the ocean

★Invited Papers

*Takemasa Miyoshi¹, Shun Ohishi¹, Unashish Mondal¹, Shigenori Otsuka¹, Michael Goodliff¹, Yuta Tarumi¹, Hirofumi Tomita¹, Kaya Kanemaru², Hisashi Yashiro³, Koji Terasaki⁴, Kozo OKAMOTO⁴, Shunji Kotsuki⁵, Mayumi Yoshioka⁶, Shuhei Matsugishi⁶, Masaki Satoh⁶, Craig Bishop⁷, Takuji Kubota⁸, Misako Kachi⁸ (1. RIKEN, 2. NICT, 3. NIES, 4. Meteorological Research Institute, 5. Chiba University, 6. The University of Tokyo, 7. University of Melbourne, 8. JAXA)

2:00 PM - 2:15 PM

[ACG63-14] Progress of Japan's Spaceborne Cloud and Precipitation Radar Missions

★Invited Papers

*Takuji Kubota¹ (1. Earth Observation Research Center,Japan Aerospace Exploration Agency)

2:15 PM - 2:30 PM

[ACG63-15] Toward Data-driven Global Satellite Mapping of Precipitation through Data Assimilation and Deep Learning

*Shunji Kotsuki¹, Yuka Muto¹, Daiko Kishikawa¹, Hiroki Hayashi¹, Daiya Shiojiri¹, Kaya Kanemaru², Takuya Funatomi³, Atsushi Hamada⁴ (1. Center for Environmental Remote Sensing, 2. National Institute of Information and Communications Technology, 3. Kyoto University, 4. Toyama University)

2:30 PM - 2:45 PM

[ACG63-16] Diurnal Cycle Climatology derived from 25-year Spaceborne Radar Observations and its Utilization in the GSMaP Precipitation Correction

*Rakesh Teja Konduru¹, Moeka Yamaji¹, Masafumi Hirose², Munehisa K Yamamoto¹, Takuji Kubota¹, Hitoshi Hirose³, Tomoo Ushio³ (1. Earth Observation Research Center, Japan Aerospace Exploration Agency, 2. Meijo University, 3. Osaka University)

2:45 PM - 3:00 PM

[ACG63-17] Improving GSMaP Passive Microwave Precipitation Retrievals through a Revised Method of Microwave Rainfall Normalization

*Nao Yoshida¹, Takuji Kubota¹, Munehisa Yamamoto¹ (1. Japan Aerospace Exploration Agency)

3:00 PM - 3:15 PM

[ACG63-18] Snowfall Retrieval from GPM/DPR Using Scattering Models for Various Solid Precipitation Particle Type

*Taisei Tsuji^1,2, Shinta Seto³, Atsushi Hamada¹, Takuji Kubota² (1. University of Toyama, 2. Japan Aerospace Exploration Agency , 3. Nagasaki University)

Session information

[A-CG63] Satellite Earth Environment Observation

[ACG63-13] Advancement and AI integration of satellite data assimilation of clouds, precipitation, and the ocean

★Invited Papers

[ACG63-14] Progress of Japan's Spaceborne Cloud and Precipitation Radar Missions

★Invited Papers

[ACG63-15] Toward Data-driven Global Satellite Mapping of Precipitation through Data Assimilation and Deep Learning

[ACG63-16] Diurnal Cycle Climatology derived from 25-year Spaceborne Radar Observations and its Utilization in the GSMaP Precipitation Correction

[ACG63-17] Improving GSMaP Passive Microwave Precipitation Retrievals through a Revised Method of Microwave Rainfall Normalization

[ACG63-18] Snowfall Retrieval from GPM/DPR Using Scattering Models for Various Solid Precipitation Particle Type

Authentication