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The article discusses a workshop funded by the NSF's Office of Polar Programs to address research priorities for observing the dynamics of the Southern Ocean. The Southern Ocean plays a crucial role in global climate, but its dynamics remain uncertain, impacting climate projections. The workshop identified research priorities, such as understanding ice shelf melt rates, sea ice variability, and ocean circulation, and emphasized the need for observational strategies to address these challenges. Additionally, the article highlights the importance of equity, diversity, and inclusion in fieldwork, data management, and international collaboration within the Southern Ocean research community. [Extracted from the article]

Since their advent over 2 decades ago, autonomous Argo floats have revolutionized the field of oceanography, and, more recently, the addition of biogeochemical and biological sensors to these floats has greatly improved our understanding of carbon, nutrient, and oxygen cycling in the ocean. While Argo floats offer unprecedented horizontal, vertical, and temporal coverage of the global ocean, uncertainties remain about whether Argo sampling frequency and density capture the true spatiotemporal variability in physical, biogeochemical, and biological properties. As the true distributions of, e.g., temperature or oxygen are unknown, these uncertainties remain difficult to address with Argo floats alone. Numerical models with synthetic observing systems offer one potential avenue to address these uncertainties. Here, we implement synthetic biogeochemical Argo floats into the Energy Exascale Earth System Model version 2 (E3SMv2), which build on the Lagrangian In Situ Global High-Performance Particle Tracking (LIGHT) module in E3SMv2 (E3SMv2-LIGHT-bgcArgo-1.0). Since the synthetic floats sample the model fields at model run time, the end user defines the sampling protocol ahead of any model simulation, including the number and distribution of synthetic floats to be deployed, their sampling frequency, and the prognostic or diagnostic model fields to be sampled. Using a 6-year proof-of-concept simulation, we illustrate the utility of the synthetic floats in different case studies. In particular, we quantify the impact of (i) sampling density on the float-derived detection of deep-ocean change in temperature or oxygen and on float-derived estimates of phytoplankton phenology, (ii) sampling frequency and sea-ice cover on float trajectory lengths and hence float-derived estimates of current velocities, and (iii) short-term variability in ecosystem stressors on estimates of their seasonal variability. [ABSTRACT FROM AUTHOR]

The document is a compilation of scientific articles and reports related to oceanography and climate research. The articles cover a wide range of topics including phytoplankton bloom phenology, ocean currents, carbon cycle simulations, sea-ice dynamics, and subsurface chlorophyll concentrations. These articles provide valuable information for researchers studying these specific topics and highlight the importance of ongoing research and monitoring efforts in understanding and predicting changes in the marine environment. [Extracted from the article]