Deep ocean convection, the process by which the deep waters of the world's
oceans are created and renewed, plays a keg role in the global thermohaline
circulation and hence the world's heat balance. The process of deep ocean
convection involves a vigorous overturning of the ocean mater column down t
o depths of 2000-3000 m in an area probably not larger than 50 km in diamet
er. This paper details the results of a theoretical study to identify remot
ely sensible surface signatures for deep ocean convection. Due to the all-w
eather capability, efforts have focused on the microwave part of the spectr
um, particularly the high resolution imaging capability of synthetic apertu
re radar (SAR). The goal of this research is to use the SAR surface signatu
re or "fingerprint" to identify and characterize areas of convection in the
open ocean. This information is then used to improve model parameterizatio
ns for deep convection used in general circulation models. Electromagnetic
simulations of remote sensing signatures of deep ocean convection have been
performed based on existing hydrodynamic models. Simulated surface signatu
res of deep convection are presented for various hydrodynamic and imaging c
onditions along with a discussion of applicability of these simulations to
real SAR data. Key findings are the existence of a definite identifiable ra
dar surface signature in convective regions and a set of conditions under w
hich one would expect to observe these signatures.