Allard Richard

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  • Article
    Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season
    (Frontiers Media, 2019-08-06) Smith, Gregory C. ; Allard, Richard ; Babin, Marcel ; Bertino, Laurent ; Chevallier, Matthieu ; Corlett, Gary ; Crout, Julia ; Davidson, Fraser J. M. ; Delille, Bruno ; Gille, Sarah T. ; Hebert, David ; Hyder, Patrick ; Intrieri, Janet ; Lagunas, José ; Larnicol, Gilles ; Kaminski, Thomas ; Kater, Belinda ; Kauker, Frank ; Marec, Claudie ; Mazloff, Matthew R. ; Metzger, E. Joseph ; Mordy, Calvin W. ; O’Carroll, Anne ; Olsen, Steffen M. ; Phelps, Michael W. ; Posey, Pamela ; Prandi, Pierre ; Rehm, Eric ; Reid, Philip C. ; Rigor, Ignatius ; Sandven, Stein ; Shupe, Matthew ; Swart, Sebastiaan ; Smedstad, Ole Martin ; Solomon, Amy ; Storto, Andrea ; Thibaut, Pierre ; Toole, John M. ; Wood, Kevin R. ; Xie, Jiping ; Yang, Qinghua ; WWRP PPP Steering Group
    There is a growing need for operational oceanographic predictions in both the Arctic and Antarctic polar regions. In the former, this is driven by a declining ice cover accompanied by an increase in maritime traffic and exploitation of marine resources. Oceanographic predictions in the Antarctic are also important, both to support Antarctic operations and also to help elucidate processes governing sea ice and ice shelf stability. However, a significant gap exists in the ocean observing system in polar regions, compared to most areas of the global ocean, hindering the reliability of ocean and sea ice forecasts. This gap can also be seen from the spread in ocean and sea ice reanalyses for polar regions which provide an estimate of their uncertainty. The reduced reliability of polar predictions may affect the quality of various applications including search and rescue, coupling with numerical weather and seasonal predictions, historical reconstructions (reanalysis), aquaculture and environmental management including environmental emergency response. Here, we outline the status of existing near-real time ocean observational efforts in polar regions, discuss gaps, and explore perspectives for the future. Specific recommendations include a renewed call for open access to data, especially real-time data, as a critical capability for improved sea ice and weather forecasting and other environmental prediction needs. Dedicated efforts are also needed to make use of additional observations made as part of the Year of Polar Prediction (YOPP; 2017–2019) to inform optimal observing system design. To provide a polar extension to the Argo network, it is recommended that a network of ice-borne sea ice and upper-ocean observing buoys be deployed and supported operationally in ice-covered areas together with autonomous profiling floats and gliders (potentially with ice detection capability) in seasonally ice covered seas. Finally, additional efforts to better measure and parameterize surface exchanges in polar regions are much needed to improve coupled environmental prediction.
  • Article
    Coupled ocean-atmosphere forecasting at short and medium time scales
    (Sears Foundation for Marine Research, 2017-11-01) Pullen, Julie ; Allard, Richard ; Seo, Hyodae ; Miller, Arthur J. ; Chen, Shuyi ; Pezzi, Luciano Ponzi ; Smith, Travis ; Chu, Philip ; Alves, José ; Caldeira, Rui
    Recent technological advances over the past few decades have enabled the development of fully coupled atmosphere-ocean modeling prediction systems that are used today to support short-term (days to weeks) and medium-term (10–21 days) needs for both the operational and research communities. We overview the coupling framework, including model components and grid resolution considerations, as well as the coupling physics by examining heat fluxes between atmosphere and ocean, momentum transfer, and freshwater fluxes. These modeling systems can be run as fully coupled atmosphere-ocean and atmosphere-ocean-wave configurations. Examples of several modeling systems applied to complex coastal regions including Madeira Island, Adriatic Sea, Coastal California, Gulf of Mexico, Brazil, and the Maritime Continent are presented. In many of these studies, a variety of field campaigns have contributed to a better understanding of the underlying physics associated with the atmosphere-ocean feedbacks. Examples of improvements in predictive skill when run in coupled mode versus standalone are shown. Coupled model challenges such as model initialization, data assimilation, and earth system prediction are discussed.