Abstract Number:
1670
Submission Type:
Topic-Contributed Paper Session
Participants:
Joshua North (1), Erin Schliep (3), Toryn Schafer (2), Christopher Wikle (4), Erin Schliep (3), James Thorson (5), Lyndsay Shand (6), Joshua North (1)
Institutions:
(1) Lawrence Berkeley National Laboratory, N/A, (2) Texas A&M University, N/A, (3) North Carolina State University, N/A, (4) University of Missouri-Columbia, N/A, (5) Northwest Fisheries Science Center, N/A, (6) Sandia National Laboratories, N/A
Chair:
Co-Organizer:
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Session Description:
Policymakers and politicians have become increasingly aware of the impacts of anthropogenic induced climate change over the past three decades and are taking measures to reduce its progression and impact. This is most evident by various climate agreements, accords, and panels, such as the Paris Climate Accords, the Conference of the Parties, and the Intergovernmental Panel on Climate Change. Increasingly, the meetings surrounding these agreements, accords, and panels focus on methods to limit the rise in mean global temperature and toward understanding how weather and climate events will be altered in our new climate. However, the policymakers and politicians rely heavily on academics to produce new methodology, findings, and actionable results to help meet these goals. Our session focuses on statistical advances in methodology to help make inference on how our climate will respond under new regimes and the impacts of these new regimes on various physical processes. The session brings together a leading expert in the field, Dr. Christopher Wikle, three mid-career experts, Drs. Erin Schliep, James Thorson, and Lynsday Shand, and an early career researcher, Dr. Joshua North who will be presenting on novel methodological advancements for climate research from various perspectives. Notably, our session is composed of academic and government statisticians, including two tenured faculty, Drs. Christopher Wikle and Erin Schliep, and three research scientists, Drs. James Thorson, Lynsday Shand, and Joshua North who are located at the National Oceanic and Atmospheric Administration, Sandia National Laboratory, and Lawrence Berkeley National Laboratory, respectively.
The titles of the talks are as follows:
• Dr. Christopher Wikle, Hybrid neural/statistical spatio-temporal models for inferring climate impacts.
• Dr. Erin Schliep, Dynamic models to detect spatial and temporal changes in the seasonality of streamflow across the US.
• Dr. James Thorson, Using dynamic structural equations to include lagged and simultaneous interactions in multivariate spatio-temporal models for climate-linked physical, community, and ecosystem models.
• Dr. Lynsday Shand, A multivariate spatial dynamic model to characterize time-varying impacts from a volcanic eruption.
• Dr. Joshua North, Uncertainty quantification for low-likelihood high-impact weather events using physically consistent spatio-temporal statistical modeling.
Sponsors:
Government Statistics Section 3
Section on Statistical Learning and Data Science 2
Section on Statistics and the Environment 1
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
Yes
Estimated Audience Size
Small (<80)
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
I understand