Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (0): add | show Print this page

Polar ocean observations: a critical gap in the observing system and its effect on environmental predictions from hours to a season
Smith, G.C.; Allard, R.; Babin, M.; Bertino, L.; Chevallier, M.; Corlett, G.; Crout, J.; Davidson, F.; Delille, B.; Gille, S.T.; Hebert, D.; Hyder, P.; Intrieri, J.; Lagunas, J.; Larnicol, G.; Kaminski, T.; Kater, B.; Kauker, F.; Marec, C.; Mazloff, M.; Metzger, E.J.; Mordy, C.; O'Carroll, A.; Olsen, S.; Phelps, M.; Posey, P.; Prandi, P.; Rehm, E.; Reid, P.; Rigor, I.; Sandven, S.; Shupe, M.; Swart, S.; Smedstad, O.M.; Solomon, A.; Storto, A.; Thibaut, P.; Toole, J.; Wood, K.; Xie, J.; Yang, Q.; WWRP PPP Steering Group (2019). Polar ocean observations: a critical gap in the observing system and its effect on environmental predictions from hours to a season. Front. Mar. Sci. 6: 429. https://dx.doi.org/10.3389/fmars.2019.00429
In: Frontiers in Marine Science. Frontiers Media: Lausanne. e-ISSN 2296-7745, more
Peer reviewed article  

Available in  Authors 

Keyword
    Marine/Coastal
Author keywords
    polar observations; operational oceanography; ocean data assimilation;ocean modeling; forecasting; sea ice; air-sea-ice fluxes; YOPP

Authors  Top 
  • Smith, G.C.
  • Allard, R.
  • Babin, M.
  • Bertino, L.
  • Chevallier, M.
  • Corlett, G.
  • Crout, J.
  • Davidson, F.
  • Delille, B., more
  • Gille, S.T.
  • Hebert, D.
  • Hyder, P.
  • Intrieri, J.
  • Lagunas, J.
  • Larnicol, G.
  • Kaminski, T.
  • Kater, B.
  • Kauker, F.
  • Marec, C.
  • Mazloff, M.
  • Metzger, E.J.
  • Mordy, C.
  • O'Carroll, A.
  • Olsen, S.
  • Phelps, M.
  • Posey, P.
  • Prandi, P.
  • Rehm, E.
  • Reid, P.
  • Rigor, I.
  • Sandven, S.
  • Shupe, M.
  • Swart, S.
  • Smedstad, O.M.
  • Solomon, A.
  • Storto, A.
  • Thibaut, P.
  • Toole, J.
  • Wood, K.
  • Xie, J.
  • Yang, Q.
  • WWRP PPP Steering Group

Abstract
    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.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors