Start Date/Time: Friday, February 12, 2010, 10:30 AM
Location: APL Hardisty Conference Center
***APL Special Seminar***
Speaker: Ian Fenty, Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology
Title: "A new perspective on hydrographic and sea ice variability in the Labrador Sea"
Abstract:
As perennial sea ice recedes in the Northern Hemisphere, attention must turn
towards
improving our understanding of seasonal sea ice variability. Seasonal sea
variability in the Labrador Sea and Baffin Bay is not fully understood
despite manifesting 27% of N.H. seasonal ice variability and having
significant climatological importance (e.g., altering deep convection
propensity, storm track location, CO2 sequestration rates, etc.). Leading
seasonal ice variability hypotheses postulate large-scale atmospheric
variability (e.g., NAO) as the primary driver ??? an artifact of scarce high
latitude in situ oceanographic data.
A new perspective on the role of hydrographic variability in controlling
seasonal sea
ice maxima is revealed in new one-year reconstructions of the
three-dimensional time-varying sea ice-ocean state. These reconstructions
are syntheses of in situ and satellite-based oceanographic and sea ice data
with a state-of-the-art 1/3-degree coupled ice-ocean model. Model and data
are brought into consistency in a
least-squares sense using the adjoint method (aka method of Lagrange
Multipliers or
4DVAR) within the ECCO state estimation framework.
Analysis of these reconstructions reveals a first-order role of upper-ocean
salinity
anomalies for the development of ice across the thermohaline front
separating cold, fresh Arctic Waters on the Baffin Bay and Labrador Shelves
and the warm salty Irminger Waters in the central Labrador Sea. The
enhancement of upper-ocean stratification from large positive buoyancy
fluxes associated with ice meltwater release is found to be critical within
the low-salinity anomaly region but
ineffectual once the ice edge encounters convectively-entrained Irminger
Waters ventilating in the mixed layer.
These results suggest that wintertime seasonal sea ice maxima may be
predictable with
foreknowledge of the upper hydrographic state from autonomous profiling
floats and anticipated satellite-based SSS data. Reconstructing the
evolution of upper-ocean hydrographic anomalies and identifying their
probable links to atmospheric/subpolar gyre variability are identified as
important outstanding areas of research.