It is well documented that the SST variability variability in the
tropical Atlantic Ocean can influence the position and intensity
of the Intertropical Convergence Zone (ITCZ), and thus have a
significant impact on the rainfall over Northeast South America
and the Sahel region of Africa. In fact, the high correlation
between precipitation over the Northeast Brazil and SST anomaly (SSTA)
over the tropical Atlantic is perhaps the best documented case of
a relationship between regional tropical rainfall anomalies and
SSTA other than those associated in the El Niņo - Southern
Oscillation (ENSO) in the tropical Pacific. The SST conditions in
the north tropical Atlantic also affect the frequency and
intensity of hurricane activity. Therefore, a comprehensive
understanding of tropical Atlantic SST variability has important
implications to the short-term climate prediction in that region.
This research aims at improving understanding of fundamental
dynamics governing interannual-to-decadal Tropical Atlantic
Variability (TAV).
PROJECT GOALS:
The overall objective of this research is to investigate the
underlying dynamics of TAV. The two major foci of the study are:
1) identification of key feedback loops in the tropical Atlantic
sector and 2) investigation of the relative importance between
local vs. remote influences on TAV.
METHODOLOGY:
This investigation is conducted using two types of numerical
model simulations -- an atmospheric GCM (NCAR CCM3) simulation and
a Hybrid Coupled Model simulation. The atmospheric GCM simulation
contains three ensembles of CCM3 runs forced by the observed SST
from 1950 to 1994 in different ocean domains. A comparison of
these experiments allows the separation of atmospheric responses
to local SST forcing in the tropical Atlantic from those due to
the remote forcing. The Hybrid Coupled Model is used to gain
further understanding of the role of local air-sea feedback in
Tropical Atlantic Variability.
RESULTS AND ACCOMPLISHMENTS:
Several important findings have emerged as a result of this
investigation:
1) A careful analysis of a suite of AMIP-type CCM3 integrations
revealed a robust pattern of atmospheric response to local SST
forcing in the tropical Atlantic. The dominant response appears to
be associated with the variation in location and intensity of the
Intertropical Convergence Zone (ITCZ) in response to changes in
the SST gradient near the equator. Within the deep tropics, there
is an indication of a positive feedback between surface heat flux
and SST anomalies.
2) ENSO exerts a significant influence on Tropical Atlantic
Variability during the boreal spring. The ENSO forcing contributes
not only to the "dipole" correlation structure between
tropical Atlantic SST and Nordeste rainfall, but also to positive
correlations between SST anomalies and downward surface heat flux.
The study further showed that the remote influence from the
Pacific appears to be largely associated with an anomalous Walker
Circulation that develops in the eastern Pacific-Atlantic sector
during major ENSO events.
3) A preliminary analysis on the output of a 99-year
integration of CCM3 coupled to a global ocean mixed layer model
indicates that the model captures many salient features of TAV. In
particular, the dominant tropical circulation and SST patterns in
this integration bear a strong resemblance to those of the
observations and of the dominant forced response found in the AMIP-type
runs. The analysis also indicates that the mixed layer feedback
plays an important role in enhancing the persistence of climate
anomalies in the tropical Atlantic and the variable depth of the
mixed layer is important for simulating realistic SST variability.
4) A hybrid coupled model study suggests that TAV may best fit
into a weakly coupled scenario in which the air-sea feedback plays
a role in enhancing the persistence of the cross-equatorial
gradient of SST and the circulation anomalies, while the NAO
provides an important source of external forcing to excite the
coupled variability in the tropics.
FUTURE WORK:
Studies are needed to further understand the feedback loops in
the tropical Atlantic sector and interactions between TAV and NAO.
To facilitate a comprehensive understanding of Atlantic climate
variability, we plan to develop a high-resolution, fully coupled
Atantic sector climate model. This is a collaborative research
effort between scientists at Texas A&M and NCAR. We hope that
this effort will not only lead to an improved understanding of the
underlying local physics of TAV, but also aid the ongoing global
modeling activity at NCAR and other institutions. Ultimately, we
envision this coupled model evolving into a research prediction
system for Tropical Atlantic Variability.
CONTACTS:
Principal Investigators:
P. Chang
ping@ocean.tamu.edu
tel: (409)-845-8196
fax: (409)-845-8879