Could MJO Predictions Be of Use to the Fishing Industry?
Motivation
The MJO has been shown to have important influences on ocean surface
fluxes of momentum, heat (e.g., radiation, latent heat flux), and mass
(i.e. evaporation and precipitation). These influences have been
shown to produce significant variations in physical properties of the
near-surface ocean (e.g., SST, mixed-layer depth), which have been
hypothesized, and in some model settings demonstrated, to feedback
to the atmosphere/MJO. These issues raise the question of whether
the influences extend to biogeochemical processes in the ocean, for
example ocean bio-productivity.
Research Summary
Analysis of satellite ocean color and rainfall data shows that the MJO
produces systematic and significant variations in ocean surface Chlorophyll
(Chl) in a number of regions across the tropical Indian and Pacific
Oceans. The results are seasonally dependent, with the main regions
of variation in boreal summer (see figure) being the northern
Indian Ocean, a broad expanse of the northern tropical Pacific Ocean
and a number of regions in the far eastern Pacific Ocean. In
the boreal winter, MJO-induced variations are strongest in the northwest
Indian Ocean, over broad areas of the western and central Pacific,
and coastal Mexico. Examination of the corresponding surface wind data
indicates that vertical entrainment of nutrients at the base of the
ocean mixed layer is an important contributing mechanism.
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| Madden Julian Oscillation (MJO). Lags
start at 0 days (top), +10 days (middle) and +20 days (bottom), which
together account for about one half of a complete MJO event. (right
panel) Same, except for ocean surface Chlorophyll from SeaWiFS, where
the values are normalized by the seasonal means (e.g., 1.2 indicates
120% of the N.H. summer mean). |
Implications
Given evidence that the MJO is predictable with 2-3 week lead-times,
surface Chl may also be predictable at similar lead times with implications
for the fishing industry and public health sectors concerned with cholera
epidemics.
Future Work
Two avenues of further investigation include: 1) examine historical fish-catch
data to determine if the influence of the MJO on Chl extends to an impact
on fish abundance, and 2) use bio-physical ocean models with satellite
data to determine more specifically the mechanisms responsible for the
observed MJO-Chl relationship.
Reference
Waliser, D. E., R. Murtugudde, P. Strutton, J.-L. Li, 2005, Subseasonal
Organization of Ocean Chlorophyll: Prospects for Prediction Based on
the Madden-Julian Oscillation, Geoph. Res. Lett., 32, L23602, doi:10.1029/2005GL024300.
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