How Spice is Stirred in the Bay of Bengal

Abstract

The scale-dependent variance of tracer properties in the ocean bears the imprint of the oceanic eddy field. Anomalies in spice (which combines anomalies in temperature T and salinity S on isopycnal surfaces) act as passive tracers beneath the surface mixed layer (ML). We present an analysis of spice distributions along isopycnals in the upper 200 m of the ocean, calculated with over 9000 vertical profiles of T and S measured along ~4800 km of ship tracks in the Bay of Bengal. The data are from three separate research cruises—in the winter monsoon season of 2013 and in the late and early summer monsoon seasons of 2015 and 2018. We present a spectral analysis of horizontal tracer variance statistics on scales ranging from the submesoscale (~1 km) to the mesoscale (~100 km). Isopycnal layers that are closer to the ML-base exhibit redder spectra of tracer variance at scales km than is predicted by theories of quasigeostrophic turbulence or frontogenesis. Two plausible explanations are postulated. The first is that stirring by submesoscale motions and shear dispersion by near-inertial waves enhance effective horizontal mixing and deplete tracer variance at horizontal scales km in this region. The second is that the spice anomalies are coherent with dynamical properties such as potential vorticity, and not interpretable as passively stirred.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 01, 2020
Source ID
10.1175/jpo-d-19-0077.1

Entities

People

  • A. Mahadevan
  • Aditya Tandon
  • Andrew J. Lucas
  • E. Shroyer
  • G. Spiro Jaeger
  • J. T. Farrar
  • Jennifer MacKinnon
  • Jonathan D. Nash

Organizations

  • Massachusetts Institute of Technology
  • Office of Naval Research
  • Oregon State University
  • Scripps Institution of Oceanography
  • University of Massachusetts Dartmouth
  • Woods Hole Oceanographic Institution

Tags

Fields of Study

  • Environmental science

Readers

  • Combustion science or combustion engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers