Delayed Impact of North Atlantic Oscillation on
Biosphere Productivity in Asia
Wang GL, You LZ
Geophysical Research Letters
31, L12210, doi: 10.1029/2004GL019766, 2004
Abstract
This study examines the relationship between the North
Atlantic Oscillation (NAO) and vegetation productivity in Asia
inferred from both crop yields data in China
and satellite-derived Normalized Difference Vegetation Index data. Our
finding
suggests that vegetation productivity in northern Asia
during the main growing season correlates significantly to NAO, with a
surprising long delay of 1.5 years. Correlation at shorter time lags,
which was
the focus of previous studies, is weak and not significant between the
NAO
index and vegetation activities in Asia. This
suggests
the existence of a so-far unrecognized mechanism that carries the NAO
signal
for multiple years. The lagged
vegetation response also provides the potential for NAO to serve as a
predictor
for crop yields in China.
A
Conceptual Modeling Study on
Biosphere-Atmosphere Interactions and its Implications for Physically
Based Climate
Modeling
Wang GL
Journal of Climate
17, 2572-2583, 2004
Abstract
This
paper presents a conceptual modeling study on the behaviors of
terrestrial biosphere-atmosphere system as they relate to multiple
equilibrium
states and
climate variability, and emphasizes their implications for physically
based climate
modeling. The conceptual biosphere-atmosphere model consists of
equilibrium
responses of vegetation and precipitation to each other, dynamics of
the
vegetation system, and stochastic forcing of precipitation representing
the
impact of atmospheric internal variability. Using precipitation as the
atmospheric variable in describing the biosphere-atmosphere
interactions, this
model pertains to regions where vegetation growth is limited by water.
Low
moisture convergence in the atmosphere combined with high sensitivity
of the
atmospheric climate to vegetation changes provide the most favorable
condition
for the existence of multiple equilibrium states. In a coupled
biosphere-atmosphere system with multiple equilibria, experiments
varying the
stochastic forcing indicate that atmospheric internal variability is an
important factor in the long term variability of the model climate and
in its sensitivity
to initial conditions. Specifically, the enhancement of low-frequency
rainfall
variability by vegetation dynamics is most pronounced with a moderate
magnitude
of atmospheric internal variability, and is less pronounced if internal
variability
is either too large or too small; detecting the existence of multiple
equilibria by examining the sensitivity of the coupled model climate to
initial
conditions is not always reliable, since too large an internal
variability
reduces or even eliminates the model sensitivity to initial conditions.
Findings
from the conceptual model are confirmed using results from a physically
based, synchronously
coupled biosphere-atmosphere model. This study provides guidance in
interpreting and understanding the model dependence of
biosphere-atmosphere
interaction studies using complex climate system models.
Decadal
variability of rainfall in the Sahel: Results from the coupled GENESIS-IBIS
atmosphere-biosphere model
Wang
GL, Eltahir EAB, Foley JA, Pollard D, Levis S
Climate
Dynamics
22, 625-637, 2004
Abstract
In this
study
we investigate the impact of
large-scale oceanic forcing and local vegetation feedback on the
variability of
the Sahel rainfall
using a global
biosphere-atmosphere model, the coupled GENESIS-IBIS model, running at
two
different resolutions. The observed global sea surface temperature in
the 20th
century is used as the primary model
forcing.
Using this coupled global model, we experiment on treating vegetation
as a
static boundary condition and as a dynamic component of the earth
climate system.
When vegetation is dynamic, the R30-resolution model realistically
reproduces
the multi-decadal scale fluctuation of rainfall in the Sahel region;
keeping
vegetation static in the same model results in a rainfall regime
characterized
by fluctuations at much shorter time scales, indicating that vegetation
dynamics acts as a mechanism for persistence of the regional climate.
Even when
vegetation dynamics is included, the R15 model fails to capture the
main
characteristics of the long-term rainfall variability due to the
exaggerated
atmospheric internal variability in the coarse resolution model.
Regardless
how vegetation is treated,
conditions in the last three decades of the twentieth century are
always drier
than normal in the Sahel, suggesting
that global oceanic forcing
during that period favors the occurrence of a drought. Vegetation
dynamics is
found to enhance the severity of this drought. However, with both the
observed
global SST forcing and feedback from dynamic vegetation in the model,
the
simulated drought is still not as persistent as what has been observed.
This
indicates that anthropogenic land cover changes, a mechanism missing in
the
model, may have contributed to the occurrence of the 20th
century
drought in the Sahel.
Climate Change,
Climate Modes, and Climate Impacts
Wang GL, Schimel D
Annual Reviews for Environment and
Resources
28, 1-28, November 2003
Variability of the atmospheric and oceanic circulations in the
earth system gives rise to an array of naturally occurring dynamical
modes. Instead of being spatially independent or spatially uniform,
climate variability in different parts of the globe is orchestrated by
one or a combination of several climate modes, and global changes take
place with a distinctive spatial pattern resembling that of the
modes-related climate anomalies. Climate impact on the dynamics of
terrestrial and marine biosphere also demonstrates clear signals for
the mode effects. In this review, we view modes as an important
attribute of climate variability, changes, and impact and emphasize the
emerging concept that future climate changes may be manifest as changes
in the leading modes of the climate system. The focus of this review is
on three of the leading modes: the North Atlantic Oscillation, the El
Ni˜no-Southern Oscillation, and the Pacific Decadal Oscillation.