changing south pacific rainfall bands in a warming climate?
DESCRIPTION
Changing South Pacific rainfall bands in a warming climate?. Image from 8 February 2012 MTSAT-2 visible channel, Digital Typhoon, National Institute of Informatics. Spotlight on the South Pacific Convergence Zone:. How will Pacific rainfall bands respond to a warming climate?. - PowerPoint PPT PresentationTRANSCRIPT
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Changing
South Pacific
rainfall bands in
a warming
climate?
Image from 8 February 2012MTSAT-2 visible channel, Digital Typhoon, National Institute of Informatics
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University of Hawaii colleagues:Axel Timmermann, Niklas Schneider, andKarl Stein
Collaborators:Shayne McGregor1, Matthew H. England1, Matthieu Lengaigne2, and Wenju Cai3
1Climate Change Research Centre, University of New South Wales2LOCEAN, France3CSIRO Marine and Atmospheric Research, Australia
Spotlight on the South Pacific Convergence Zone:
Matthew J. WidlanskyInternational Pacific Research Center
How will Pacific rainfall bands respond to a warming climate?
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Southern Hemisphere Convergence ZonesAustral summer (DJF) climatology of satellite observed rainfall
(GPCPv2.1)
5 mm day-1 contour indicated by blue line
South Pacific Convergence Zone
(SPCZ)
South Atlantic Convergence Zone
(SACZ)
South Indian Convergence Zone
(SICZ)
SPCZ is the largest rainband in the Southern Hemisphere and provides most of the rainfall for
South Pacific island nations
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Captain Fitz-Roy,Narrative of the surveying voyages of His Majesty’s Ships Adventure and
Beagle between the years 1826 and 1836
“I was struck by the precise similarity of the clouds, sky, peculiarities of wind, and weather, to what we had been accustomed to meet with off the coast of Patagonia: and I may here remark
that, throughout the southern hemisphere, the weather, and the turn or succession of winds, as
well as their nature and prognostications, are remarkably uniform.”
Historical perspective: Very early ship observation
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Historical perspective: Early satellite observations
(Streten 1973, Mon. Wea. Rev.)
Cloud Cover Percentage (DJF)
Satellite cloud brightness1968-1971 composite of 5 day averages
S. Atlantic~30%S. Indian
~20%
S. Pacific~30%
Quasi-stationary Southern Hemisphere cloud band locations are
“related closely to that of the long-wave hemispheric pattern.”
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Historical perspective: Literature review
Why does the SPCZ extend diagonally away from the equator in the Southern Hemisphere?
SACZ
SICZ
SPCZ
SPCZ
• SPCZ is a region of widespread cloud cover and rainfall extending southeastward from New Guinea into Southern Hemisphere mid-latitudes. (Streten 1973; Trenberth 1976)
• Tropical convection is oriented zonally and collocated with warmest SST. (Vincent 1994)
• Baroclinic-type disturbances influence the diagonal region. (Kiladis et al. 1989)
• Orientation changes during different phases of the El Niño-Southern Oscillation (ENSO). (Trenberth 1976; Streten and Zillman 1984; Karoly and Vincent 1999; Folland et al. 2002)
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1) Historical perspective
2) Snapshot of SPCZ science, circa 2010
3) Recent advancements in understanding:
• Why is there a diagonal rainband?
• How will the rainband respond to climate change?
• Will frequency of future extreme SPCZ events change?
Answers to these questions are based on the underlying sea surface temperature (SST)
distribution and its projected change
Outline
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August 2010: State of the science
Secretariat of the Pacific Regional Environment
Programme
Workshop on the SPCZApia, Samoa (Aug. 2010)
The Pacific climate change Science Program
1) Hypothesis for dynamics of the SPCZ
2) SPCZ related extreme events on interannual timescales such as droughts, floods, and tropical cyclones
3) Projections of the SPCZ response to climate changeM
eeting topics
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(mm day-1)
28°C26°C
(2011, Clim. Dynam.)
Observed rainfall and SST climatology during DJF
~ GPCP rainfall~ NOAA SST
• Tropical SPCZ adjacent the meridional SST gradient (equatorial)
• Subtropical SPCZ transects the meridional SST gradient (mid-latitudes) and is west of maximum zonal SST gradient
(e.g., Lindzen and Nigam 1987)
1) Dynamics of the SPCZ
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2) Interannual variability of the SPCZ
Tropical Cyclone Genesis
Neutral (mean)
Adapted from Figure 12 (Vincent et al. 2011, Clim. Dynam.)
Extreme El Niño (anomaly)
(mm day-1)
28°C26°C
Observed rainfall and SST climatology during DJF
~ GPCP rainfall~ NOAA SST
La Niña
El Niño
Extreme El Niño
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3) Uncertain rainfall projection in IPCC AR4DJF (2080 to 2099)
Rain
fall
proj
ectio
n (%
)N
umbe
r of m
odel
s >
0
Adapted from Figure 11.25 (IPCC AR4, Chapter 11)
%
CMIP3 (A1B, 21 models)
IPCC Fourth Assessment Report “Regional Climate Projections- Small Islands”:
1) Rainfall is likely to increase along equator and decrease in the Southeast Pacific (where it is already dry)
2) Multi-model mean trend is small in the SPCZ and inter-model uncertainty is large
3) Impact of coupled model biases on future rainfall projections not addressed
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Why is there a diagonal rainband in the Southern Hemisphere, but not in the Northern Hemisphere?
Why is the tropical Pacific rainfall response to greenhouse warming so uncertain?
How will extreme events, such as strong El Niño occurrences and zonally oriented SPCZ events, respond to climate change?
Fundamental questions unanswered in Samoa
Today, I will present three papers (2012) addressing each question individually
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Question #1
Why is there a diagonal rainband in the Southern Hemisphere, but not in the Northern Hemisphere?
Why is the tropical Pacific rainfall response to greenhouse warming so uncertain?
How will extreme events, such as strong El Niño occurrences and zonally oriented SPCZ events, respond to climate change?
(Q. J. Roy. Meteor. Soc., 2012)
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Influence of SST forcing on basic-stateSST Climatology
240 W m-2 OLR (rainfall proxy) climatology indicated by blue line
SPCZ (A) is west of the maximum zonal gradient (B-C)
The background quasi-stationary 200 hPa flow is partially dictated by the SST distribution (e.g., Gill 1980)
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200 hPa Zonal Winds & Negative Zonal Stretching Deformation
Upper-troposphere zonal flow
A decelerating jet stream creates a band of upper-tropospheric negative zonal stretching deformation (s-1, 200 hPa) near the subtropical SPCZ:
0x
U
200 hPa Zonal Winds
Distribution of mean zonal winds acts to refract Rossby waves(e.g., Hoskins and Ambrizzi 1993, J. Atmos. Sci.)
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SPCZ acts as a synoptic ‘graveyard’
TRANSIENT WAVES∂U/∂x < 0
From Matthews (2012, Q. J. Roy. Meteor. Soc.):
“The propagation of Rossby waves in a spatially varying mean flow can also be interpreted in terms of accumulation of wave energy (Webster and Holton, 1982). In particular, in jet-exit regions where the mean westerly wind u decreases eastward (∂u/∂x < 0), the zonal wavenumber will increase along a ray path. This leads to a decrease in the wave group speed and an increase in the wave energy density (Webster and Chang, 1998). When applied in the region of the SPCZ (Widlansky et al., 2011), this can explain the observation that the SPCZ acts as a synoptic ‘graveyard’ (Trenberth, 1976).”
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Modes of SPCZ variability
Observed rainfall and 200 hPa zonal wind (DJF) ‘Shifted SPCZ’ mode 1 (12%)
~ TRMM rainfall~ NCEP Reanalysis U
Later, we will look at mode 2SPCZ position and intensity varies on multiple timescales:
• Synoptic, Rossby waves• Intraseasonal, MJO• Interannual, ENSO
Adapted from Figures 1 and 3 (Matthews 2012, Q. J. Roy. Meteor. Soc.)
(e.g., Widlansky et al. 2011, Clim. Dynam.)
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Synoptic disturbances from higher latitudes‘Shifted SPCZ’ (mode 1) composite: OLR (rainfall proxy) and 200 hPa vorticity anomalies
Path of wave propagation
Mean diagonal SPCZ is the sum of equatorward propagating synoptic waves from the subtropical jet
towards the equatorial westerly wind duct
Adapted from Figure 5 (Matthews 2012, Q. J. Roy. Meteor. Soc.)
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Change in basic-state during ENSOLa Niña minus El Niño: SST anomaly (shading) ULa Niña = 0 UEl Niño = 0
Path of wave propagation
Westerly wind duct constricts during El Niño, hence synoptic waves refract equatorward further east,
shifting the diagonal SPCZ northeastward
Adapted from Figure 11 (Matthews 2012, Q. J. Roy. Meteor. Soc.)
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Why no diagonal rainband in North Pacific?
1) Subtropical jet is strong and narrow (topography)
2) Equatorial westerly wind duct is absent during Northern Hemisphere summer (weaker Walker circulation)
3) NH warm pool is confined near equator during winter
SPCZ orientation determined by warm pool configuration and its projected change
(Q. J. Roy. Meteor. Soc., 2012)
A diagonal rainband is the default, triggered by equatorward refraction of synoptic waves, but in the North Pacific:
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Question #2
Why is there a diagonal rainband in the Southern Hemisphere, but not in the Northern Hemisphere?
Why is the tropical Pacific rainfall response to greenhouse warming so uncertain?
How will extreme events, such as strong El Niño occurrences and zonally oriented SPCZ events, respond to climate change?
(2012, in press)
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Inter-model standard deviation
21st century projection (shading)20th century control (black lines)
Blue lines enclose simulated 20th century rainfall > 5 mm day-1
Uncertainty remains in CMIP5
Inter-model uncertainty is larger than ensemble mean projected rainfall
trend
Rainfall trend (RCP 4.5, 21 models)
Inter-model standard deviation
Regional rainfall trend
Rain
fall
chan
ge (%
Con
trol
)
Equatorial islands SPCZ islands
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Rainfall bias(% observed climatology)
Model bias and projected rainfall changeRa
infa
ll pr
ojec
tion
(% 2
0th c
entu
ry c
ontr
ol)
scal
ed b
y w
arm
ing
at e
quat
or, K
-1
r2 = 0.27 (n = 74)
Shifted South Pacific rainfall bands in a warming climate?
Tropical SPCZ(10°S-20°S,
150°E-150°W)RainfallOBS >5 mm day-1
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SST gradients influence the observed location and strength of the SPCZ
Coupled GCMs yield uncertain 21st century rainfall projections, especially in Southwest Pacific
1) Removing SST bias improves simulated diagonal rainband
2) Bias-corrected climate experiments suggest future drying as regional SST gradients weaken
3) Net rainfall change depends on balance of two mechanisms (of opposite sign)
Goal is to explain inter-model uncertainty
Procedure: Uncertain rainfall projection?
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SST bias (CMIP5, 20 models)
Removing SST bias improves climatology
Rainfall climatology (CMIP5, 21 models)
Rainfall bias (CMIP5, 21 models)
Rainfall climatology (AMIP, 5 models)
Rainfall bias (AMIP, 5 models)
Equatorial Pacific is too cold and Southeast Pacific is too warm
• Double-ITCZ bias partly related to SST biases (e.g., Wittenberg et al. 2006, J. Clim.)
• Atmosphere GCMs (observed SST) simulate a more diagonal SPCZ
AMIP rainfall is too heavy
Warm Pool
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21st century projection (RCP 4.5 W m-2, 20 models)
Green lines enclose simulated 20th century Warm Pool (27.5 °C)
Robust SST warming pattern
SST trend (tropical mean removed)
Inter-model standard deviation
Maximum equatorial warming is a robust response to
greenhouse warming(e.g., Xie et al. 2010, J. Clim.)
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Biased SST climatology does not affect SST projection
No flux correction Radiative flux correction
Coupled GCM (CCSM3) response to 2xCO2
CO2 increased 10% per year to 710 ppmProjections from last 20 years of 90 year simulations
Removing SST bias does not change the warming pattern and improves rainfall climatology
Each experiment projects more rain along equator and drying in the South Pacific, but drying in SST bias-corrected experiment occurs in Southwest Pacific
collocated with observed SPCZ
Warm Pool (27.5°C), climatologyShading, warming trend
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Bias-corrected island rainfall projectionsCoupled GCM (CCSM3) response to 2xCO2
CCSM3 experiment with no flux correction shows no consistent rainfall projection for
the SPCZ islands
SST bias-correction experiment projects drying for SPCZ islands (typically 5-10%) and more rain along some parts of the
equator
Equatorial islands SPCZ islandsEquatorial islands SPCZ islands
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Rainfall response to changing SST gradients
Green lines enclose observed Warm Pool (27.5°C) and the changing threshold for deep convection (dashed) (Graham and Barnett 1987, Science; Johnson and Xie 2010, Nature Geosci.)
21st century projection (shading)20th century control (blue & black lines)
Increasing model com
plexity
21st century trend (tropical mean removed) 2 and ½ Layer Atmospheric Model
Idealized Atmospheric GCM (ICTP)
Full Atmospheric GCM (CAM3)
Tropical Channel Run
• SST bias-corrected experiments have a more realistic SPCZ climatology than coupled GCMs. • In response to 21st century SST gradient pattern, rainfall increases where SST warms the most and decreases elsewhere.
• SPCZ drying is a robust response regardless of model resolution or convection parameters.
CMIP3 A1B scenario
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Rainfall response to tropical mean SST increase
Wet regions tend to get wetter
Rainfall response(Total SST trend)
Rainfall response(SST gradient pattern)=
Rainfall response(Uniform SST warming, 2.2°C)
?
(Held and Soden 2006, J. Clim.)
+Warmest regions tend to get wetter
(Ma et al. 2012, J. Clim.)
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Mean specific humidity increases over entire tropical Pacific supporting an enhanced hydrological cycle.
“Wet gets wetter” Thermodynamic mechanism
Contours depict projected moisture increase (lower troposphere) as simulated by AGCM forced with 21st century SST trend (A1B)
Rainfall response to tropical mean SST increase (2.2°C):
(Held and Soden 2006, J. Clim. and Seager et al. 2010, J. Clim.)
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“Warmest gets wetter” Dynamic mechanism
Red contours depict warming more than tropical mean 21st century multi-model trend (CMIP3 A1B emissions)
Rainfall and wind response to prescribed SST gradient: • Anomalous divergence of moisture away
from minor warming regions, such as SPCZ. • Moisture convergence towards warmest waters accounts for increased rainfall at equator. (Ma et al. 2012, J. Clim.)
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Delicate balance of opposing rainfall mechanisms
Warmest gets wetter
Wet gets wetter
~2 x CO2 scenario
How does this balance change for more extreme greenhouse-warming?
Rainfall response to tropical mean SST increase for 4 x CO2 (4.4°C):
AMIP-future ensemble (4 x CO2 SST) projects rainfall increase for parts of SPCZ
For 4 x CO2 conditions, wet gets wetter mechanism almost completely offsets SPCZ drying associated with
diminished SST gradient between SPCZ and Equator
Warmest gets wetter Wet gets
wetter4 x CO2 scenario
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Moisture convergence in the SPCZSPCZ rainfall response to greenhouse warming influenced by two opposing mechanisms:
1) Increasing moisture convergence in lower troposphere (Thermodynamic mechanism)
2) Divergence of moisture away from the rainband towards equatorial regions of greater warming (Dynamic mechanism)
Projected SST trend (°C) in the SPCZ
Mo
istu
re c
on
verg
ence
(g
kg
-1 s
-1)
in t
he
SP
CZ
% 20
th centu
ry ob
servation
s
Net drying Net moisture increase
Large inter-model spread
Robust response
76 experiments
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SST gradients influence the observed location and strength of the SPCZ
Coupled GCMs yield uncertain 21st century rainfall projections, especially in Southwest Pacific
1) Removing SST bias improves simulated diagonal rainband, but rainfall intensity is prone to errors
2) According to bias-corrected experiments, summer rainfall may decrease by 10-20% for some South Pacific islands, assuming moderate warming
3) Net rainfall change depends on delicate balance of opposing thermodynamic and dynamic mechanisms
Multi-model scatter of net moisture convergence helps explain inter-model variance in CMIP5 rainfall projections
Answers: Uncertain rainfall projection?
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Question #3
Why is there a diagonal rainband in the Southern Hemisphere, but not in the Northern Hemisphere?
Why is the tropical Pacific rainfall response to greenhouse warming so uncertain?
How will extreme events, such as strong El Niño occurrences and zonally oriented SPCZ events, respond to climate change?
(Nature, 2012)
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Defining a “zonal SPCZ event”
GPCP rainfall
Moderate El Niño
La Niña
Neutral
Zonal SPCZ
: PC1 > 1 and PC2 > 0
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Nonlinear behavior of 2nd principal component
1997/98El Niño
1997/98El Niño
PC1 PC2
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How will “zonal SPCZ events” respond to climate change?
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201 zonal SPCZ events95 zonal SPCZ events
CMIP5 experimentsConsidering only models able to simulate the nonlinear
behavior of the SPCZ (12 out of 20 models)
20th century 21st century RCP 8.5 W m-2
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Correcting SST errors
179 zonal SPCZ events57 zonal SPCZ events
Flux adjusted perturbed physics experiments with HadCM3 CGCM (12 out of 17 experiments considered)
20th century 21st century CO2 increased 1% per year
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(mm day-1)
28°C26°C
Observed rainfall and SST climatology during DJF
Meridional SST gradient & zonal SPCZ events
= [Box 1 SST – Box 2 SST]
Box 1
Box 2
1997/98El Niño
~ GPCP rainfall~ NOAA SST
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21st century projection (RCP 4.5 W m-2, 20 models)
SST trend
Smaller future meridional SST gradient
(departure from tropical mean)
Box 1
Box 2
Maximum equatorial warming is a robust response to greenhouse warming
(e.g., Xie et al. 2010, J. Clim.)
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2) Increased frequency of zonal SPCZ events
Increased number of zonal SPCZ eventsFlux adjusted perturbed physics experiments with HadCM3 model
(12 out of 17 experiments considered)
1 2
Greenhouse warming is likely to cause:1) More summers with small meridional SST gradients
Pacific island communities experience extreme weather –droughts, floods, & tropical cyclones–
during zonal SPCZ events
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Increased frequency of
extreme events is
consistent with projected SST warming
pattern
Extreme zonally oriented SPCZ event:4 January 1998GMS-5IR water vapor6.70-7.16 μm
Katrina(28 days)
Susan(125 kts)
Ron(Tonga: 67% damaged)
Thank you
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