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Abstract
Overviews
Observations
and Models
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1999 Slope Water/Gulf
Stream Intrusion Study
EVENTS
AVHRR and the South Flank mooring time series show two
intrusion events in May and June 1999.
SWI99-1: Begins May 24 at SF with a sudden
jump in bottom S to ~32.5 to ~33.5. Maximum subtidal S occurs near bottom,
and bottom salinity remains elevated through ~ June 10. SF velocity data
suggests stronger flow near surface, with cyclonic motion (perhaps an
eddy) moving southwestward through SF between May 24 and June 4.
SWI99-2: Begins June 18 at SF with sudden
jump in near surface S from ~ 32.6 to over 34. Bottom S increases by less
than ~ 0.1.
OBJECTIVES
- Describe intrusions of warm,salty water onto the southern
flank - spatial/temporal evolution of intrusions, associated flows,
nutrients, biology,...
- Determine if intrusions have any lasting biological
(and physical) effects on the southern flank environment.
METHODS
- April, May, and June BS surveys give before, during
SW1, and after SWI99-1 during SWI99-2 T,S, species snapshots. Warm water
tracer species can be identified in the May survey and then looked for
in the June survey to see if any remained after SWI99-1 left. (Durbin
et al).
- The SF, Tidal Mixing Front (TMF), and NDBC mooring
data can be used to establish time/space description of T,S, bio-optical,
currents, plus surface forcing during period.
- CTD/MOCNESS sampling was done on the southern flank
during a) Lough April and May process cruises, b) Schlitz TMF March
deployment, June turnaround, and August recovery cruises, c) Wishner
June process cruise (in tandem with Barth SeaSoar cruise). This sequence
of MOCNESS data spanning SWI99-1 and 2 may provide evidence of any lasting
biological influence of SWI's.
- CTD/VPR/drifter/tracer data collected on Ledwell and
Houghton May southern flank tracer cruises provide additional information
on evolution of water structure and currents during SWI99-1.
- Modelers conducted real-time data assimulation studies
in the May period. Hind-cast studies with full supporting data may give
much better model fields which could help with the description of the
SWI events.
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