PP004
Advancing Paleoclimatology by Combining Data, Models, and Theory
Advancing Paleoclimatology by Combining Data, Models, and Theory
Session ID#: 247502
Session Description:
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.
Co-Sponsor(s):
- A - Atmospheric Sciences
- C - Cryosphere
- OS - Ocean Sciences
Index Terms:
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3344 Paleoclimatology [ATMOSPHERIC PROCESSES]
3394 Instruments and techniques [ATMOSPHERIC PROCESSES]
4928 Global climate models [PALEOCEANOGRAPHY]
Primary Convener: Shouyi Wang, Woods Hole Oceanographic Institution, Woods Hole, MA, United States
Conveners: Rebecca Cleveland Stout, University of Washington Seattle Campus, Seattle, United States and Charlie Marshall, Rice University, Houston, TX, United States
Student/Early Career Convener: Brynnydd Hamilton, Woods Hole Oceanographic Institution, Physical Oceanography, Woods Hole, United States
See more of: Paleoceanography and Paleoclimatology