INTRODUCTION
It is well known that rainfall anomalies over the Americas are
strongly influenced by sea surface temperature (SST) anomalies of
the surrounding tropical oceans. The archetype of this influence
is the El-Niņo-Southern-Oscillation (ENSO) phenomenon with its
changes in eastern Pacific SST anomalies.
How neighboring SST anomalies influence a particular
atmospheric variable, such as precipitation, over the land regions
of the Americas, can be complex. While the last El Niņo of 1997
reduced boreal summer Mexican monsoon rainfall, the El Niņo of
1987 had little effect on summer precipitation over Mexico. A
comparison of SST anomaly patterns shows that the SST anomaly west
of Mexico was positive in 1997 but negative in 1987. We suspect
that this SST difference is a significant cause of the differences
in rainfall patterns (Fig. 1).
It has been customary for atmospheric modelers to take SST as a
given boundary condition. In reality, however, SST itself is
affected not only by the ocean but also by atmospheric heat
fluxes. Thus, it can be misleading to use SST as a fixed boundary
condition.
Conceptually, we distinguish between "passive SST
anomalies," purely caused by random atmospheric flux, and
"active SST anomalies" which result mainly from changes
in the oceanic circulation. While the former is to a large degree
unpredictable, the latter may potentially be predictable for long
lead times.
PROJECT GOALS:
We clarify the notions of active and passive SST
variations by defining a passive ocean as one where the
variability occurs only above a fixed interior depth D of the
upper ocean, which we take as the annual maximum of the oceanic
mixed-layer depth. Variability which is more than passive is
called active. Based on this concept of active and passive SST we
will
(*) explore where in space and time oceanic thermal variations
and transports influence variability in the rainfall in the
tropical/sub-tropical Americas,
(*) discern where the ocean's role is more than passive, and in
those cases, analyze the circulation modes through which the ocean
acts.
If it turns out from our investigations that most of the
relevant SST variability in the eastern Pacific and the Atlantic
can be regarded as active, then the use of specified SST as the
lower boundary condition for GCM and mesoscale modeling can be
used without further worry. If distinguishing between active and
passive SST variability is found to be important, however, then
this would suggest the imposed lower boundary condition method of
atmospheric modeling is problematic.
METHODOLOGY:
To explore the cause of SST anomalies and its
influence on tropical rainfall over the Americas we use an
atmosphere-land model, a slab ocean mixed layer model, an ocean
model with which we perform coupled and uncoupled experiments.
The atmospheric component is modeled using the
"Quasi-equilibrium Tropical Circulation Model" (QTCM),
which is a model of intermediate complexity between a standard
general circulation model (GCM) and simpler models. The QTCM is
GCM-like in that it is based on the primitive equations, simulates
the full tropical climatology, and includes a relatively complete
set of physical parameterizations. By incorporating constraints on
the vertical structure of temperature that come from
quasi-equilibrium convective parameterizations, the model is made
numerically fast and easy to analyze compared to a GCM. QTCM is
coupled to a land-surface model "SLand" which includes a
biophysically base evapotranspiration parameterization. A simple
mixed-layer model with specified oceanic heat transports
("Q-flux") is also part of the standard QTCM
distribution. As our focus is on the active heat transport present
in the ocean, we cannot discard many of the processes included in
an ocean GCM. Our specific interest in tropical variability on
seasonal to interannual time scales, however, allows us to
restrict our attention to the upper ocean. We use an Upper Ocean
Model (UOM) that is based on an ocean GCM (NCOM), but fixes the
deep ocean baroclinic variables at their climatological values.
When the UOM is forced with observed wind and heat fluxes, the
model is able to reproduce the observed SST pattern (Fig.
2). There is a slight cold bias of the modeled SST in the
eastern equatorial Pacific, presumably caused by the model's
upwelling velocity, which is stronger than observed. Some tuning
of the model's near surface viscosity might be necessary to
correct this bias.
RESULTS AND ACCOMPLISHMENTS
1. Atmospheric teleconnections
We used the QTCM to analyze the
mechanisms that are involved in the El Niņo induced negative
rainfall anomalies adjacent to the warm SST anomalies in the
central and eastern Pacific. We forced the QTCM with positive SST
anomalies in the Pacific from January to March 1998. An ensemble
of model integrations with different initial conditions were used
to diagnose the behavior of the QTCM and to analyze the flux
anomalies that were responsible for the observed precipitation
anomalies.
The El Niņo related warming in the central and eastern Pacific
leads to an enhanced convective energy flux into the atmosphere
over this region (Fig. 3). The
anomalous tropospheric warming is spread out by wave dynamics over
a wide area. However, the sinking regions, and thus the regions of
anomalous dryness, are more confined. In traditional theory,
anomalous radiative cooling associated with warm temperature would
initiate relative descent. We find, however, that the radiative
anomalies associated with the tropospheric warming are quite
small, on the order of a few W m-2, and produce only small descent
anomalies. Instead, the anomalous cooling which balances the
anomalous adiabatic warming in the sinking regions is caused by
different mechanisms in different regions. For the PACS-relevant
decent area over Venezuela and eastern Brazil, our analysis shows
that the cooling is caused by anomalous advection of cold and dry
air. In other regions, such as the South Pacific, the anomalous
evaporation is the major contributor to the cooling. Using the
moist static energy budget, we derived relatively simple theories
to match each of the balances which includes the effects of
convective, cloud-radiative and land-surface feedbacks.
Another finding of this study is that the observed cold SST
anomalies surrounding the warm El Niņo region cannot be
reproduced by anomalous atmospheric heat fluxes only, when the
QTCM is coupled with a simple mixed-layer ocean in which ocean
transport is represented by climatological surface heat fluxes.
This suggests that changes in the oceanic circulation and
thermocline depth are important for the cold SST anomalies in the
western and subtropical Pacific associated with El Niņo.
2. Coupling of QTCM with UOM
The two models are coupled without
flux correction over the Tropics (30S-30N). At higher latitudes
the forcing fields are prescribed. The coupled system exhibits a
warm SST bias in the Tropics and a Pacific cold tongue that
extends too far westward, a common deficiency of many
state-of-the-art coupled GCMs. The cause of the cold tongue
problem is due mainly to the strength and westward extent of the
easterly surface winds along the equator. The atmospheric model's
850 hPa winds, however, compare well with observational estimates
from reanalyses, which have a better atmospheric boundary layer
formulation. The slight equatorial cold bias of the ocean model
reinforces this deficiency in equatorial surface winds.
The analysis of Wallace et al. (1989) has shown that the
stabilization of the atmospheric boundary layer due to cold SSTs
significantly reduces the momentum flux from the atmosphere into
the ocean over the eastern equatorial Pacific. We find that
implementing this effect in our coupled simulation has a major
impact. Incorporating the stability effect into our atmospheric
flux calculations and tuning the models surface wind estimates was
crucial to obtaining a reasonable climatology of the coupled
system. We are still working on a better atmospheric boundary
layer formulation and on analyzing the SST cold bias of the
oceanic component. A number of annual mean surface fluxes of the
coupled system compare reasonably well with the observational
estimates by Large et al. 1997. The Indian summer monsoon winds
are underestimated, which leads to warm SST bias along the eastern
African coast and to increased precipitation over central Africa.
For figures and further discussion see the coupled model link
below.
The coupled system is being used to study and analyze the
oceanic and atmospheric branches of the observed teleconnections
of ocean SST anomalies with the PACS region. For more information
and more up-to-date results of these coupled simulations, please
visit our WWW page on the coupled system (link below).
3. Idealized monsoon study
The seasonal movement of the land convection zones depend on
ocean-land contrast, but it is not yet established which coupling
mechanisms are the most important in setting this contrast. To
study these mechanisms we have begun using an idealized context.
The QTCM coupled to the mixed-layer ocean model is used to
investigate the processes involved in an idealized monsoon
occurring on a single rectangular continent. Idealized divergence
of ocean heat transports are specified as an annual average
``Q-flux". In this simple coupled configuration, the
mechanisms that affect land-ocean contrast and, in turn, the
seasonal movement of the continental convergence zones, are
examined. These include soil moisture feedbacks; cooling of
tropical oceans by ocean transport; ventilation (defined as the
import of low moist static energy air into continental regions
from ocean regions where heat storage opposes summer warming); and
the ``interactive Rodwell-Hoskins mechanism", in which Rossby-wave-induced
subsidence to the west of monsoon heating interacts with the
convection zone.
The fixed ocean transports have a substantial impact on
continental convection. If Q-flux is set to zero, subtropical
subsidence and ventilation tend to substantially limit the
poleward movement of summer monsoon rainfall. When land hydrology
feedbacks are active, the drying of subtropical continents
disfavors continental convection, even in the tropics. When ocean
transports are included, tropical oceans are slightly disfavored
as regions for producing convection; instead, continental
convection is favored. The monsoon circulation then produces
moisture transport from the ocean regions that allows substantial
progression of convection into the subtropics over the eastern
portion of the continent. The western portion of the continent
tends to have a dry region of characteristic shape. This east-west
asymmetry is partly due to the interactive Rodwell-Hoskins
mechanism. The ventilation is of at least equal importance in
producing east-west asymmetry and is the single most important
process in limiting the poleward extent of the continental
convection zone. Current work aims at examining these mechanisms
over the PACS region.
FUTURE WORK
In addition to pursuing the work on teleconnections over land
regions, and the mechanisms by which ocean-land contrast affects
the monsoon, described above, we are conducting a number of
experiments aimed at the question of active versus passive SST
variability and the role of the ocean in teleconnections.
To provide some specific examples, consider the time varying
heat flux from the deep ocean into the upper ocean layer, which on
average tends to balance heat exchange with the atmosphere. For
brevity, we refer to this as the Q-flux, since it is closely
related to the time average divergence of the ocean heat transport
often called a Q-flux in mixed-layer models. A passive ocean by
definition does not include any anomalies in the Q-flux from the
deeper ocean. We will first estimate the Q-flux from an uncoupled
ocean integration with observed fluxes. A time average of this
Q-flux will provide an estimate of the climatological Q-flux. We
will then run a mixed-layer model coupled to the atmospheric
model, forced at its base by the time series of the estimated
Q-flux. The internal variability of the mixed-layer atmosphere
coupled system will then be estimated from a model integration
with estimated climatological Q-flux. Ensemble integration will
then be used to determine the active SST variability and the
associated atmospheric response.
We also plan to perform various coupled experiments to study
climate teleconnections via the ocean and the atmosphere. The
coupling between ocean and atmosphere will be restricted to
specified spatial windows with climatological fluxes outside the
window. One of these experiments will be performed as follows:
First, a run with an active coupling area over the eastern Pacific
will serve as a control run. In this run, ENSO will be suppressed
as it arises from wind stress anomalies in the central and western
Pacific, and only weak passive SST variability will result. Next
we force the ocean with the observed wind stress anomalies in the
central and western Pacific. This run will reproduce most of the
El Niņo related SST anomalies in the eastern Pacific, but without
the strong atmospheric teleconnections stemming from the large
convective changes in the central Pacific. The resulting
teleconnections to PACS land regions will then be examined.
PUBLICATIONS
Chou,C., J. D. Neelin, and H. Su, 2000: Ocean-atmosphere-land
feedbacks in an idealized monsoon, Quart. J. Royal Met. Soc.,
(submitted).
Danabasoglu, G. and J. C. McWilliams, 1999: Upper Ocean Model,
J. Climate, (submitted).
Large, W. G., G. Danabasoglu, J. C. McWilliams, P. R. Gent and
F. O. Bryan, 2000: Equatorial circulation of a global ocean
climate model with anisotropic horizontal viscosity, J. Phys.
Oceanography, (submitted).
References:
Large, W. G., G. Danabasoglu and S. C. Doney, 1997: Sensitivity
to surface forcing and boundary layer mixing in a global ocean
model: annual-mean climatology, J. Phys. Oceanography, 28,
2418-2447
Wallace, J. M., T. P. Mitchel and C. Deser, 1989: The influence
of sea surface temperature on surface wind in the eastern
equatorial Pacific: Seasonal and interannual variability, J. Clim,
2, 1492-1499.
Additional publications available at: http://www.atmos.ucla.edu/~csi
CONTACTS
J. David Neelin (PI)
Email: neelin@atmos.ucla.edu
Phone: (310) 206-3734
Fax: (310) 206-5219
Ning Zeng (Co-PI)
Email: zeng@atmos.ucla.edu
Phone: (310) 825 3439
Fax: (310) 206-5219
James C. McWilliams (Co-PI)
Email: jcm@atmos.ucla.edu
Phone: (310) 206 2829
Fax: (310) 206-5219
Matthias Munnich
Email: munnich@atmos.ucla.edu
Phone: (310) 794 5899
Fax: (310) 206-3051
Institution:
Institute of Geophysics and Planetary Physics
University of California, Los Angeles
3845 Slichter Hall
Los Angeles, CA 90095-1567
LINKS
Atmosphere model
http://www.atmos.ucla.edu/~csi/QTCM/
Land model:
http://www.atmos.ucla.edu/~zeng/land.html
NCOM/UOM:
http://www.cgd.ucar.edu/csm/models/ocn-ncom/
QTCM/UOM coupled system: http://www.atmos.ucla.edu/~munnich/TCM
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