Call for abstracts: 2023 AMS Annual Meeting

103rd AMS Annual Meeting will be organised on 8–12 January 2023 in Denver, Colorado, USA. The call for abstracts is now open until August 31, 2022. Some CLIVAR related sessions are listed below. For more information of the AMS2023, please visit the conference website.

El Niño Southern Oscillation: Dynamics, Prediction and Projection

El Niño Southern Oscillation (ENSO) is the dominant mode of variability in the tropical Pacific at interannual timescales. Given its large-scale influence and global impacts, understanding, predicting and projecting ENSO is of great societal relevance. ENSO events are the results of complex ocean-atmosphere feedbacks, mediated by influences from the extra-tropical Pacific as well as Atlantic and Indian Oceans which may be stochastic in nature. As a result, ENSO events are very diverse in their initiation, development, demise and spatial patterns, posing key challenges to our ability to predict them. Climate change can also be expected to alter ENSO characteristics and its local and remote impacts. This session invites contributions that explore all aspects of ENSO, including its dynamics, diversity, event predictability and prediction, teleconnections, impacts, and future projections from observational, theoretical and modeling perspectives. Contributions that examine the role of inter-basin interactions on ENSO development and diversity are also welcome.

Organizers: Antonietta Capotondi, Art Miller, Michelle L'Heureux, and Sam Stevenson


Multiyear to Decadal Climate Variability: Mechanisms, Predictability and Prediction

Multiyear to decadal climate variability plays a key role in the global climate and in societal needs. Major international efforts are underway to provide predictions that can help decision-maker planning for the next several years to decades, but the key mechanisms driving such long-term variations in different basins, and the differing sources of predictability on multiyear vs. decadal timescales, are still not fully understood. Inter-basin interactions are also considered important at these timescales, but to-date, the magnitude of these influences remains unknown. Decadal variability is also intimately connected with long-term anthropogenic trends, and the separation of these two components is challenging. This session invites contributions that examine mechanisms of internal multiyear to decadal variability in different ocean basins, studies attempting to isolate the internal and anthropogenically forced components and their interactions, inter-basin influences, and related prediction efforts using observational, theoretical and modeling approaches.

Organizers: Art Miller, Antonietta Capotondi, Matthew Newman, and Mercedes Pozo Buil


Towards Deeper Understanding of Atlantic Multidecadal Variability and its Impacts

Topic Description: Historical, paleo-climate proxies, climate models all indicate that the Atlantic Ocean exhibits pronounced multi-decadal variations that impact weather and climate around over the globe. These variations consisting of a broader band of multidecadal signals have been referred to as Atlantic multi-decadal variability (AMV). Large uncertainties exist on the mechanisms for AMV, including on the importance of external forcing and internal variability; the Atlantic Meridional Overturning Circulation (AMOC), dynamical and thermodynamical ocean-atmosphere feedbacks; and high-latitude, low-latitudes, stratosphere-troposphere interactions. The underestimation of predictable atmospheric dynamics (i.e. signal-to-noise paradox) by climate models hints at a greater importance of coupled ocean-atmosphere dynamics in AMV. This session seeks theoretical, observational, and numerical model studies that help clarify these open questions and that provide insights on how to improve predictions of AMV. We also welcome contributions on understanding climatic impacts of AMV, including on climate extremes and in modulating the response to external forcings.

Conveners: Noel Keenlyside, Juliette Mignot, Chris Landsea