Evaluation of Arctic Sea Ice Thickness Simulated by AOMIP Models

• Main Authors: Johnson, Mark, Proshutinsky, Andrey, Aksenov, Yevgeny, Nguyen, An T., Lindsay, Ron, Haas, Christian, Zhang, Jinlun, Diansky, Nimolay, Kwok, Ron, Maslowski, Wieslaw, Hakkinen, Sirpa, Ashik, Igor, de Cuevas, Beverly
• Other Authors: Goddard Space Flight Center, Jet Propulsion Laboratory
• Format: Report
• Language: unknown
• Published: 2011
• Subjects: SEA ICE; THICKNESS; ICE; CLOUD AND LAND ELEVATION SATELLITE; ARCTIC OCEAN; ELECTROMAGNETIC MEASUREMENT; ARCTIC REGIONS; SIMULATION; STRAITS; PERFORMANCE PREDICTION; GREENLAND; Arctic; Arctic Ocean; Greenland; Beaufort Sea; Fram Strait; Greenland Sea; laptev; Sea ice
• Online Access: https://hdl.handle.net/10945/60084; https://ntrs.nasa.gov/search.jsp?R=20110012877

We compare results from six AOMIP model simulations with estimates of sea ice thickness obtained from ICESat, moored and submarine-based upward looking sensors, airborne electromagnetic measurements and drill holes. Our goal is to find patterns of model performance to guide model improvement. The satellite data is pan-arctic from 2004-2008, ice-draft data is from moored instruments in Fram Strait, the Greenland Sea and the Beaufort Sea from 1992-2008 and from submarines from 1975-2000. The drill hole data are from the Laptev and East Siberian marginal seas from 1982-1986 and from coastal stations from 1998-2009. While there are important caveats when comparing modeled results with measurements from different platforms and time periods such as these, the models agree well with moored ULS data. In general, the AOMIP models underestimate the thickness of measured ice thicker than about 2 m and overestimate thickness of ice thinner than 2 m. The simulated results are poor over the fast ice and marginal seas of the Siberian shelves. Averaging over all observational data sets, the better correlations and smaller differences from observed thickness are from the ECCO2 and UW models. Approved for public release; distribution is unlimited. NSF ARC-0804180; NSF ARC-0804010; NSF ARC-0805141; NSF ARC080789; NSF ARC0908769; NSF ARC-0804010