HR: 1400h
AN: OS33A-07    [Abstracts]
TI: Gap filling in satellite datasets for Southern Ocean
AU: * Kondrashov, D
EM: dkondras@atmos.ucla.edu
AF: UCLA, Los Angeles, CA, Los Angeles, United States
AU: Ghil, M
EM: ghil@atmos.ucla.edu
AF: UCLA, Los Angeles, CA, Los Angeles, United States
AU: Kravtsov, S
EM: kravtsov@uwm.edu
AF: University of Wisconsin, Milwaukee, WI, United States
AU: Kamenkovich, I
EM: kamen@atmos.washington.edu
AF: University of Washington, Seattle, WA, United States
AB: Variability of sea-level wind and sea-surface temperature (SST) are strongly related to each other in regions of enhanced SST gradients. Among such regions of the World Ocean, the Southern Ocean stands out due, in part, to its special role in linking the Atlantic, Pacific, and Indian oceans. Quantitative description of the sea-level-wind--SST feedbacks in the Southern Ocean is especially challenging due to the complex nature of boundary-layer processes, as well as their coupling to the intrinsic dynamics of the fluids on both sides of the ocean--atmosphere interface. Recent high-resolution records from remote sensing over the Southern Ocean are crucial to understand these coupling effects. However such data are full of gaps which naturally arise from the limited satellite coverage. Depending on instrumentation, these measurements are usually hampered by clouds, aerosols, or heavy precipitation. We utilize the data for SST and sea-level wind over the Southern Ocean from the NASA satellite-data products, such as AVHRR (SST) and QuikSCAT (surface winds), to construct time-space continuous data records. We apply singular spectrum analysis to fill the missing data with smooth information from an iteratively inferred "signal" that represents coherent spatio-temporal structures (Kondrashov and Ghil, 2006).
DE: 0480 Remote sensing
SC: Ocean Sciences [OS]
MN: 2007 Joint Assembly