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AS82: Session Details |
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Section(s) |
AS - Atmospheric Sciences
(Primary) |
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Session Title |
Advancing Precipitation
Science and Prediction: a Special Session on the
Global Precipitation Experiment (gpex) |
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Conveners |
* Prof Hui Su (The Hong Kong University of Science and Technology) |
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Session Description |
Accurate observation,
modeling, and prediction of precipitation remain fundamental challenges in
Earth system science, with direct implications for managing water resources
and natural hazards. To address this, the World Climate Research Programme (WCRP) has launched the Global Precipitation
Experiment (GPEX) as a Lighthouse Activity to catalyze a decade of
coordinated international efforts. This special session invites contributions
that support the overarching goals of GPEX to enhance our understanding and
predictability of precipitation in a changing climate. We solicit research
that addresses 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 the
understanding of the complex moist processes that produce precipitation and
their interactions with atmospheric dynamics and other Earth system
components. 3. Model Improvement: Identifying and reducing errors in precipitation
representation in models, including work on parameterizations,
kilometer-scale modeling, and physics-AI integration. 4. Capacity Development
and Applications: Applying improved precipitation data and forecasts to
enhance regional resilience, early warning systems, and climate adaptation,
especially in vulnerable regions. Research focusing on key precipitating
systems—such as atmospheric rivers, mesoscale convective systems, tropical
cyclones, and monsoons—is particularly welcome. This session aims to foster
cross-disciplinary dialogue, bringing together observationalists,
modelers, forecasters, and end-users to collectively advance the frontiers of
precipitation science and its societal applications, in direct support of the
GPEX mission. |
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Keyword(s) |
precipitation;modeling;observations |
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Expected Number of Abstracts |
30 |