Predicting near-term (seasonal to multidecadal) changes in ocean physical and biogeochemical processes and ecosystems is of interest both from a climatic perspective, for resource management, as well as understanding undergoing changes in the marine environment. Recent advances in seasonal to subseasonal (S2S) and subseasonal to decadal (S2D) predictions using data assimilation techniques in ocean and Earth system models have generated a new field of study in near-term ocean predictability. This broad and interdisciplinary topic enriches understanding of physical, chemical, and biological processes and their internal variability apart from anthropogenic forcings through integration of a wide range of observations and model simulations.
In this session we invite studies that contribute to predictions of ocean physics, biogeochemistry, and ecosystems. Both predictions in individual component of the ocean and contributions to the interplay among predictability in the physics, biogeochemistry, and ecosystems are welcome. Moreover, data assimilation and initialization strategies in facilitating initialization of the state-of-the-art Earth system models with observations, together with perfect model framework in understanding the predictability, is particularly relevant to this session.
Primary Chair: Filippa Fransner, Geophysical Institute Bergen, Bergen, Norway
Co-chairs: Hongmei Li1, Nicole S Lovenduski2 and Tatiana Ilyina1, (1)Max Planck Institute for Meteorology, Hamburg, Germany(2)University of Colorado, Department of Atmospheric and Oceanic Sciences, Boulder, CO, United States
Primary Liaison: Filippa Fransner, Geophysical Institute Bergen, Bergen, Norway
Moderators: Hongmei Li, Max Planck Institute for Meteorology, Hamburg, Germany and Filippa Fransner, Geophysical Institute Bergen, Bergen, Norway
Student Paper Review Liaison: Hongmei Li, Max Planck Institute for Meteorology, Hamburg, Germany