Accession Number : AD1026112


Title :   Quantifying Seasonal Skill In Coupled Sea Ice Models Using Freeboard Measurements From Spaceborne Laser Altimeters


Descriptive Note : Technical Report


Corporate Author : Naval Postgraduate School Monterey United States


Personal Author(s) : Bench,Kristine N


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1026112.pdf


Report Date : 01 Jun 2016


Pagination or Media Count : 147


Abstract : Satellites and several specially equipped scientific aircraft provide basin-wide altimetric measurements of sea ice freeboard, from which sea ice thickness can be estimated. Up to now, few methods have been developed to use these measurements to quantitatively assess the skill of predictive models of sea ice for the Arctic. This thesis addresses this problem, using measured freeboard from ICESat and Operation Ice Bridge (OIB). Output from the Regional Arctic System Model (RASM) is used to demonstrate applicability of both variance- and correlation-weighted skill scores of freeboard that quantify model skill and take measurement error into account. The techniques are demonstrated using two different RASM configurations, one using Elastic-Viscous-Plastic (EVP) ice mechanics, the other using the Elastic-Anisotropic-Plastic (EAP) rheology, both simulated for 2004 and 2007, during which ICESat was in operation. RASM variance skill scores ranged from 0.712 to 0.824 and correlation skill scores were between 0.319 and 0.511. The skill scores were calculated for monthly periods and require little adaption to be applicable for monthly to decadal Navy forecasts of the Arctic. This will help improve sea ice prediction by quantifying model limitations and thus maximize the usefulness of ICESat-2 freeboard measurements after that satellite is launched next year.


Descriptors :   thermodynamic processes , statistical analysis , remote sensing , ice mechanics , solar radiation , measurement , ocean currents , polar regions , sea water , topography , climate change , heat of fusion , LASER ALTIMETERS , arctic ocean , predictive modeling


Subject Categories : Physical and Dynamic Oceanography
      Snow, Ice and Permafrost


Distribution Statement : APPROVED FOR PUBLIC RELEASE