Decline in the extent and thickness of Arctic sea ice is an active area of scientific effort and one with significant implications for ecosystems and communities in the Arctic and globally.
Forecasting for seasonal timescales (i.e., the summer and into fall) is of particular interest to many stakeholders since many activities that take place in the arctic are planned over the summer months, and many species are sensitive to the behavior of summer sea ice.
However, seasonal forecasting is particularly challenging due to the variable nature of weather and ocean behavior over that timescale as well as current limits to data and modeling capabilities.
SIPN builds and expands on the Sea Ice Outlook project.
The Sea Ice Prediction Network (SIPN) is developing a collaborative network of scientists and stakeholders to advance research on sea ice prediction and communicate sea ice knowledge and tools.
- Coordinate and evaluate activities to predict sea ice
- Integrate, assess and guide observations
- Synthesize predictions and observations
- Disseminate predictions and engage key stakeholders
To receive announcements about SIPN, subscribe to our email list here.
We will be developing this website and announcing activities in the coming months.
Join the Network
We are also inviting project collaborators and network participants at this time. Action Teams will be formed around the project objectives and will provide opportunities for collaboration. If you are interested in participating in the network—through participation in an action team, modeling/prediction activities, as a data provider, or as a stakeholder—you can join the network by emailing any member of the Network Team or by filling out the interest form at the bottom of this page.
Network Leadership Team
- stroeve [at] kryos.colorado.edu (Julienne Stroeve), NSIDC (Project PI/NSF PI)
- bitz [at] atmos.washington.edu (Cecilia Bitz), U. Washington (ONR PI)
- ed [at] atmos.uw.edu (Edward Blanchard-Wrigglesworth), U. Washington
- walter.n.meier [at] nasa.gov (Walt Meier), NASA (Co-PI)
- james.e.overland [at] noaa.gov (Jim Overland), NOAA/University of Washington
- muyin.wang [at] noaa.gov (Muyin Wang), NOAA/University of Washington
- hajo.eicken [at] gi.alaska.edu (Hajo Eicken), UAF (Co-PI)
- jhutchings [at] coas.oregonstate.edu (Jenny Hutchings), Oregon State University
- lawrence.hamilton [at] unh.edu (Larry Hamilton), U. New Hampshire (Co-PI)
- helen [at] arcus.org (Helen Wiggins), ARCUS (ARCUS PI)
- adrienne.tivy [at] ec.gc.ca (Adrienne Tivy), National Research Council of Canada
- pwjones [at] lanl.gov (Philip Jones), Los Alamos National Laboratory (DOE PI)
- eclare [at] lanl.gov (Elizabeth Hunke), Los Alamos National Laboratory