Session outline
| Atmospheric and Hydrospheric Sciences (A) | ||
|---|---|---|
| Session Sub-category | Atmospheric Sciences, Meteorology & Atmospheric Environment(AS) | |
| Session ID | A-AS12 | |
| Title | Advancing Precipitation Science and Prediction: The WCRP Global Precipitation Experiment (GPEX) | |
| Short Title | GPEX | |
| Main Convener | Name | Akiyo Yatagai |
| Affiliation | Hirosaki University | |
| Co-Convener 1 | Name | Toru Terao |
| Affiliation | Kagawa University | |
| Co-Convener 2 | Name | Takeshi Horinouchi |
| Affiliation | Faculty of Environmental Earth Science, Hokkaido University | |
| Co-Convener 3 | Name | Hui Su |
| Affiliation | Hong Kong University of Science and Technology | |
| Session Language |
E |
|
| Scope |
Accurate observation, modeling, and prediction of precipitation remain fundamental challenges in Earth system science and are key to sustainable management of water resources and disaster risk reduction. The World Climate Research Programme (WCRP) launched the Global Precipitation Experiment (GPEX) as a Lighthouse Activity to advance international collaboration in precipitation science. This session invites contributions that address the four primary science questions of the GPEX Science Plan: 1. Uncertainty Reduction: Quantifying and reducing uncertainties in precipitation estimates over land and ocean using advanced technologies and multi-source data fusion. 2. Process Understanding: Advancing understanding of moist processes and their interactions with atmospheric dynamics and other Earth system components. 3. Model Improvement: Reducing model errors and improving parameterizations and physical-AI integration. 4. Applications and Capacity Development: Applying improved precipitation data and forecasts to enhance regional resilience, early warning systems, and climate adaptation. Research focusing on key precipitating systems - such as atmospheric rivers, mesoscale convective systems, tropical cyclones, and monsoons - is especially welcome. This session aims to bring together observationalists, modelers, and application scientists to advance the understanding and predictability of precipitation in support of the GPEX mission. |
|
| Presentation Format | Oral and Poster presentation | |
| Joint Session with | AOGS | |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 25 PM3 | ||
| AAS12-P01 | Statistical Analysis of Stationary Fronts and Typhoon Remote Effects Causing Heavy Rainfall in Tohoku, Japan | Oto Imai |
| AAS12-P02 | Analysis of Tropical Cyclone-Related Precipitation over the Northwestern Pacific Using GPM - Classification by Genesis Environment - | Akiyo Yatagai |
| AAS12-P03 | An Analysis of the 2024/2025 Heavy Snowfall in the Tsugaru Region Based on Polar Cold Air Mass | Daiki Tombe |
| AAS12-P04 | Historical Precipitation Trends in Models and Observations: Disentangling Forced Signals and Atmospheric Internal Variability | Wengui Liang |
| AAS12-P05 | Comparative analysis of three gridded precipitation datasets at daily and monthly scales over the British Columbia Province, Canada | Yoshihiko Iseri |
| AAS12-P06 | Investigating the Vertical Structure of Intense Stratiform Precipitation through Simultaneous MU Radar and Dual-Polarization Radar Observations | Sota Matsunaga |