- PP11A: Advancing Paleoclimatology by Combining Data, Models, and Theory I Oral
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NOLA CC
Primary Convener:Generic 'disconnected' Message
Shouyi Wang, Woods Hole Oceanographic Institution
Convener:
Rebecca Cleveland Stout, University of Washington Seattle Campus
Charlie Marshall, Rice University
Early Career Convener:
Brynnydd Hamilton, Woods Hole Oceanographic Institution
Chair:
Shouyi Wang, Massachusetts Institute of Technology
Rebecca Cleveland Stout, University of Washington Seattle Campus
Charlie Marshall, Rice University
Brynnydd Hamilton, Northeastern University
Our most powerful constraints on past climate are developed through combining observational data with models and theory. This intersection allows us to test hypotheses, refine model physics, develop data-informed state estimates of past climates, and ultimately advance the theoretical principles underpinning our dynamical understanding of the climate system. We highlight a range of tools and methodologies, including: advancements in linking environmental variables to paleoclimate proxies; the design and implementation of proxy system models; innovative approaches for integrating numerical models with data (such as data assimilation and machine learning techniques); and the use of model hierarchies, from idealized physical models to comprehensive climate models.We welcome submissions that apply these tools to key paleoclimate questions, including but not limited to: characterizing climate variability (including climate extremes), reconstructing past ecosystems and climates, understanding specific dynamical processes across space and time, and leveraging paleoclimate insights to improve future climate projections.
Index Terms
3315 Data assimilation
3344 Paleoclimatology
3394 Instruments and techniques
4928 Global climate models
Cross-Listed:
C - Cryosphere
A - Atmospheric Sciences
OS - Ocean Sciences
Neighborhoods:
3. Earth Covering
Scientific DisciplineNeighborhoodTypeWhere to Watch
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