Phytoplankton blooms are closely coupled to physical processes. Increased a
ccess to wind, sea surface temperature, and ocean color datasets aids in re
trospective analyses of bloom events and provides vital linkages of physica
l and biological processes. From such analyses, conceptual models of bloom
initiation, transport, maintenance, and dissipation may help identify the t
iming of bloom initiation and define environmental conditions conducive to
growth. The advent of on-line, real-time environmental data, new ocean colo
r sensors, and hyperspectral scanners may allow enough predictive capabilit
y so that harmful or toxic bloom conditions can be detected, research effor
ts focused, and reliable information made available, before effects of thes
e blooms are manifest in near shore areas.