Stochastic Analysis of Satellite-Derived Arctic Sea Ice Information

• Main Authors: Geiger, Cathleen A, McNutt, S L
• Other Authors: DELAWARE UNIV NEWARK
• Format: Text
• Language: English
• Published: 2002
• Subjects: Snow; Ice and Permafrost; Statistics and Probability; *SEA ICE; *STOCHASTIC PROCESSES; ARCTIC OCEAN; DYNAMICS; HIGH RESOLUTION; KINEMATICS; MODELS; OBSERVATION; SATELLITE IMAGERY; SYNTHETIC APERTURE RADAR; THERMODYNAMICS; SEA-ICE MOTION; STOCHASTIC ANALYSIS; Arctic; Arctic Ocean; Fairbanks; Ice; permafrost; Sea ice; Alaska
• Online Access: http://www.dtic.mil/docs/citations/ADA628077; http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA628077

Long-term goals include the analysis and synthesis of in-situ and remotely sensed data for the purpose of understanding sea-ice kinematics, dynamics, and thermodynamics. Particular focus includes the careful consideration of temporal-spatial coupling of specific processes relative to the temporal-spatial sampling and uncertainty of select instruments. Resultant algorithms serve to improve the combination of observations and numerical models especially in the construction of observational test cases, model initialization, and data assimilation. The ever increasing complexity and high volume of both models and data necessitates that observation-derived fields be clear and simple synthesis products that are easy to incorporate into models with careful accounting of the data uncertainties. Prepared in collaboration with the Geophysical Institute, University of Alaska, Fairbanks.