Upload
solada
View
26
Download
0
Embed Size (px)
DESCRIPTION
Identifying Chemistry-Climate-Air Quality Connections To Inform Public Policy . Arlene M. Fiore. Acknowledgments . Jasmin John, Meiyun Lin, Vaishali Naik , Larry Horowitz, D.J. Rasmussen, Alex Turner, GAMDT (GFDL); Oliver Wild (U Lancaster): Mike Bauer (CU/GISS) . - PowerPoint PPT Presentation
Citation preview
Identifying Chemistry-Climate-Air Quality Connections To Inform Public Policy
AAAS Meeting, VancouverFebruary 19, 2012
Arlene M. Fiore
Acknowledgments. Jasmin John, Meiyun Lin, Vaishali Naik, Larry Horowitz, D.J. Rasmussen, Alex Turner, GAMDT (GFDL); Oliver Wild (U Lancaster): Mike Bauer (CU/GISS)
0 20 40 60 80 100 120Methane reduction potential (Mton CH4 yr-1)
North AmericaRest of Annex IRest of World
Ozone reduction (ppb)
Cost-saving reductions
<$10 / ton CO2 eq.
All identifiedreductions
Addressing air quality and climate via methane emission controls: A viable option?
~25% of global anthrop. emissions at cost-savings / low-cost
>1 ppb decrease in global surface ozone West & Fiore, ES&T, 2005; Fiore et al., GRL, 2002
IEA [2003] for 5 industrial sectors
0.7
1.4
1.9
10% of anth. emissions
20% of anth. emissions
0 20 40 60 80 100 120 Methane reduction potential (Mton CH4 yr-1)
(industrialized nations)
Benefits of ~25% decrease in global anthrop. CH4 emissions
~ 1 ppb, robust across models (factor of 2 range)[Fiore et al., JGR, 2009; TF HTAP, 2007, 2010; Wild et al., ACPD, 2012]7700-400,000 annual avoided cardiopulmonary premature mortalities in the N. Hemisphereuncertainty in concentration-response relationship only [Casper Anenberg et al., ES&T, 2009]
Range over 18 models
Global meanavoided warming in
2050 (°C)[WMO/UNEP, 2011]
CLIMATEOZONE AIR QUALITY
Atmospheric CH4 and surface O3 over the next century?
Tool: GFDL CM3 chemistry-climate model
Donner et al., J. Climate, 2011; Golaz et al., J. Climate, 2011;Naik et al., in prep, Horowitz et al., in prep
• ~2°x2°; 48 levels• Atm-ocean-sea ice-land GCM• Fully coupled chemistry in troposphere+stratosphere• Aerosol – warm cloud interactions
Tg N
yr-1
Representative Concentration Pathways (RCPs)
c/o V. Naik
METHANE
NOx Emissions
ppb
c/o J. John
RCP8.5RCP6.0 RCP4.5RCP2.6
RCP4.5* WMGG
RCP4.5
RCP8.5
Multiple feedbacks complicate projections of atmospheric CH4 and O3 abundances
O3 + hν
Troposphere
O1D + H2O OH CH3+H2O k+ CH4
T T
Stratospheric O3
NOx, CO, NMVOC, CH4
Anthropogenic sources Biospheric sources
tropopause
surface
CH
CHOHTk
B
]][)[( 4
4
tCH4
=
NOx
Negative feedback of warming climate on methane lifetime; anthrop. emission trajectory can amplify or counteract
RCP4.5* WMGG only:
tCH4: -5%Rising T(+1.4K), OH (LNOx, H2O)
RCP4.5: tCH4: -13%More warming (+2.3K; aerosol), CO, CH4 decrease
RCP 8.5: tCH4: +4%: Doubling CH4 offsets influence of warmer T (+4.5K)
TROPOSPHERIC CH4 LIFETIME IN GFDL CM3 CHEMISTRY-CLIMATE MODEL
Year
s
Percentage changes are (2081-2100) – (2006-2025)J. John et al., in prep
How will O3 air quality evolve over North America? RCP emissions: lower? Warmer climate: higher?
NO CLIMATE CHANGEO3 change estimated from sensitivities derived from TF HTAP model ensemble
Ann
ual m
ean
N. A
mer
. Su
rface
O3 ch
ange
s (pp
b)
Dramatic rise in CH4 in RCP8.5 opposes NOx-driven decreases
July mean obs from U.S. EPA CASTNet site Penn State, PA 41N, 78W, 378m
TEM
P (C
; 10a
m-5
pm a
vg)
MD
A8
O3 (
ppb)Observed O3-T
correlation implies that changes in climate will influence air quality
[Wild et al., revised for ACP]
Over NE USA, stagnation episodes are a major driver of observed surface O3-T correlation: Future evolution?
Number of storms in region each summer (JJA) in RCP8.5, GFDL CM3 model
Cylones diagnosed from 6-hourly SLP with MCMS software from Mike Bauer, (Columbia U/GISS)
Robust across models? [e.g., Lang and Waugh, 2011] Can we evaluate modeled
relationships btw air quality and climate?
Leibensperger et al. [2008]: strong anticorrelation in summer between (a) number of migratory cyclones over Southern Canada/NE U.S. and (b) number of stagnation events and associated NE US high-O3 events
A. Turner et al., in prep
July Monthly avg. daily max T
How well does a global chemistry-climate model simulate regional O3-temperature relationships?
Rasmussen et al., Atmos. Environ., 2012
Model captures observed O3-T relationship in NE USA in July, despite high O3 bias
MonthS
lope
s (p
pb O
3 K
-1)
CASTNet sites,NORTHEAST
USA
“Climatological” O3-T relationships:Monthly means of daily max T and monthly means of MDA8 O3
AM3: 1981-2000OBS: 1988-2009
July
Mon
thly
avg
. MD
A8
O3
r2=0.41, m=3.9
r2=0.28, m=3.7
Broadly represents seasonal cycle
What is the combined impact of climate + emission on surface O3 over North America?
EMISSIONS CHANGE ONLY
Ann
ual m
ean
N. A
mer
ican
surfa
ce O
3 ch
ange
(ppb
)
Why does O3 increase in GFDL CM3 RCP8.5? Higher CH4 sensitivity? Increased strat O3 influence? [e.g., Butchart et al., 2006; Hegglin & Shepherd, 2009; Kawase et al., 2011; Li et al., 2008; Shindell et al. 2006; Zeng et al., 2010]
How well do models represent strat-to-trop O3 transport?
5
0
-5
-10
GFDL CM3 RCP8.5 RCP4.5 ens. meanIndividual members
EMISSIONS + CLIMATE CHANGE
[Wild et al., revised for ACP]
Western NA: Particularly active region for STE in present day,a good test case for model evaluation
Satellite observations
Decreasing humidity
GOES-West water vapor
AIRS total column ozoneAM3 “nudged high-res” (~50km2 )
simulations
250 hPa jet (color) 350 hPa geopotential height (contour)
250 hPa potential vorticity
DU
AM3 resolves features consistently with satellite perspectiveM. Lin et al., in prep.
Upper level dynamics associated with a deep stratospheric ozone intrusion (21:00UTC May 27, 2010)
Identifying chemistry-climate-air quality connections to inform public policy… some final thoughts
• Methane controls as “win-win” for climate and O3 air quality
• Analysis of long-term chemical and meteorological obs may reveal key connections between climate and air pollution Crucial for testing models used to project future changes Need to maintain long-term observational networks
• Climate-driven influences on air quality Need better process understanding at regional scale;
new opportunities with chemistry-climate models Potential for shifts in relative importance of locally produced vs.
transported O3
Cooling influence on climate (by lowering both methane and O3) Decrease baseline surface O3 (robust across models) Complex chemistry-climate feedbacks along future trajectories