Application of a unified aerosol-chemistry-climate GCM to understand the effects of changing climate and global anthropogenic emissions on U.S. air quality - PowerPoint PPT Presentation

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Application of a unified aerosol-chemistry-climate GCM to understand the effects of changing climate and global anthropogenic emissions on U.S. air quality

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Title: Application of a unified aerosol-chemistry-climate GCM to understand the effects of changing climate and global anthropogenic emissions on U.S. air quality


1
Application of a unified aerosol-chemistry-climate
GCM to understand the effects of changing
climate and global anthropogenic emissions on
U.S. air quality
How will a changing climate affect surface
concentrations of O3 and PM in the United States?
  • PI Daniel J. Jacob, Harvard University
  • Co-Is Joshua S. Fu, Univ. of Tennessee
  • Loretta J. Mickley, Harvard University
  • David Rind, GISS
  • John H. Seinfeld, Caltech
  • David J. Streets, Argonne

2
GCMs are the necessary tools to predict the
response of air quality to future climate change
  • Past model studies of the effects of climate
    change on AQ have focused on partial-derivative
    perturbations to meteorological variables, e.g.,
  • But the perturbations to different
    meteorological variables are inherently
    correlated, and the most important perturbation
    for AQ is likely to be the change in circulation.
    Only a GCM can make predictions of the effects
    of climate change on AQ (partial-derivative
    studies are useful as diagnostic)
  • GCMs have never been applied to investigate the
    effects of climate change on air pollution
    meteorology. We are in uncharted territory!

3
MAJOR CHALLENGE IN APPLYING GCM TO 2000-2050 AQ
TRENDS separating climate change from
interannual variability in weather
Illustration change in global surface T in GISS
GCM climate equilibrium simulations with present
vs. preindustrial tropospheric ozone
present-day ozone
DF 0.46 W m-2
Preindustrial ozone
Mickley et al. 2003
  • 1950-2050 time-dependent GCM calculation
  • At least a 5-year sample of any climate regime

Need
4
Interannual variability is even more of a problem
at regional scales
GISS GCM equilibrium Jun-Aug DT due to change in
tropospheric ozone over past century (DF 0.46 W
m-2)
GCM interannual variability Jun-Aug DT, Dcloud,
Dprecip over N. Mexico
DT (mean 1.4oC)
Dlowcloud (mean 2)
Dprecip (mean -0.5 mm/h)
How many years of simulation are needed? TBD, but
get guidance from present-day AQ statistics
5
CHARACTERIZING AQ CLIMATOLOGY WITH NORMAL MODES
(PRINCIPAL COMPONENTS OR EOFs)
EOFs for surface 1-5 pm ozone in eastern U.S.,
Jun-Aug 1995
OBS (AIRS)
MAQSIP (36 km2)
EOF 1 East-west
r2 0.60 Slope 0.9
r2 0.86 Slope 1.0
r2 0.57 Slope 0.8
EOF 2 Midwest- Northeast
r2 0.76 Slope 1.0
r2 0.68 Slope 0.7
EOF 3 Southeast
r2 0.80 Slope 1.0
Fiore et al., in press, JGR
6
SAME FUNDAMENTAL SYNOPTIC PROCESSES DRIVE OZONE
VARIABILITY IN GLOBAL MODEL
EOFs for surface 1-5 pm ozone, Jun-Aug 1995
OBS (AIRS)
GEOS-CHEM 2x2.5
EOF 1 East-west
r2 0.68 Slope 1.0
r2 0.74 Slope 1.2
EOF 2 Midwest- Northeast
r2 0.54 Slope 0.8
r2 0.27 Slope 1.0
r2 0.78 Slope 1.0
EOF 3 Southeast
r2 0.90 Slope 1.0
Fiore et al., in press, JGR
7
INTERCONTINENTAL TRANSPORT OF POLLUTION
Asian influence likely to increase in future
what will be the effect of climate change?
Surface ozone enhancements from anthropogenic
emissions in northern midlatitudes continents
(GEOS-CHEM, JJA 1997)
North America
Europe
Asia
Li et al., JGR 2002
8
TRANSATLANTIC TRANSPORT OF POLLUTIONcorrelation
with North Atlantic Oscillation Index
NAOI normalized surface pressure anomaly between
Iceland and Azores
North American ozone pollution enhancement at
Mace Head, Ireland (GEOS-CHEM)
North Atlantic Oscillation (NAO) Index
r 0.57
Greenhouse warming a NAO index shift a change in
transatlantic

transport of pollution
9
PROJECT OBJECTIVES
  • To quantify the effect of expected 2000-2050
    climate change on AQ in the U.S., independent of
    changes in anthropogenic emissions
  • To quantify the combined effect of 2000-2050
    changes in climate and anthropogenic emissions on
    AQ in the U.S.
  • To examine how climate change will affect
    intercontinental transport of pollution to the
    U.S.
  • To define the normal modes (EOFs) of ozone and PM
    over the U.S., and examine whether the effect of
    climate change can be expressed as a perturbation
    to the structure and frequency of these modes
  • To nest CMAQ within a unified aerosol-chemistry-cl
    imate GCM for more accurate simulation of
    regional air pollution in future climate.

10
PROJECT HERITAGE 1 CHEMISTRY, AEROSOLS, AND
CLIMATETROPOSPHERIC UNIFIED SIMULATION (CACTUS)
NASA Interdisciplinary Science (IDS)
investigation Harvard (Jacob, Mickley), Caltech
(Seinfeld), GISS (Rind), UCI (Prather), CMU
(Adams), GIT (Nenes)
CACTUS model
Atmospheric chemistry
  • emissions
  • land use
  • climate forcing

GISS GCM
Aerosol microphysics
Current version of CACTUS model incorporates
coupled ozone-PM chemistry in GISS GCM (4ox5o, 9
layers) Liao et al., JGR 2003. PM microphysics
developed separately (Adams and Seinfeld, JGR, in
press).
  • D climate
  • chemistry

11
PROJECT HERITAGE 2INTERCONTINENTAL TRANSPORT
OF AIR POLLUTION (ICAP)
EPA/OAQPS and EPA/ORD project among others
Harvard (Jacob), Argonne (Streets), U. Houston
(Byun)
  • Phase I (2002-2003) apply GEOS-CHEM CTM to
    simulate effects of future changes in emissions
    on U.S. ozone AQ with present climate
  • Key result double dividend of methane control
    for climate stabilization and air quality Fiore
    et al., GRL 2002
  • Phase II (2003-2004)
  • Develop coupled ozone-PM-mercury simulation in
    GEOS-CHEM to serve as outer nest for CMAQ
  • Ozone-PM coupling completed Martin et al., JGR
    2003 Park et al., JGR in press, mercury in
    development
  • GEOS-CHEM/CMAQ coupling in development (with D.
    Buyn)
  • Conduct preliminary investigation of effects of
    climate change on air pollution meteorology using
    9-layer GISS GCM simulations of CO and soot
    tracers
  • 1950-2050 simulation is in progress

12
PROJECT APPROACH
  • Conduct 1950-2050 climate change simulations in
    CACTUS GCM
  • GISS GCM w/4ox5o horiz resolution, 23 layers in
    vertical, q-flux ocean
  • Chemical tracers (CO and soot) transported in
    model
  • IPCC scenarios A1 and B1
  • Analysis
  • Trends in air pollution meteorological variables
    (T, humidity, PBL height, clouds)
  • Trends in ventilation, circulation, scavenging
    using chemical tracers as diagnostics
  • Assessment of n of simulation years needed for
    climate statistics
  • 2. Conduct global ozone-PM simulations for
    present, 2030, and 2050 climates
  • Use CACTUS GCM or GEOS-CHEM CTM (driven by GISS
    GCM meteorology) for n-year coupled ozone-PM
    simulations for the three climates.
  • Conduct simulations with (1) present-day
    emissions, (2) modified climate-dependent natural
    emissions, (3) modified anthropogenic emissions
  • Analysis
  • Evaluate present-day simulation with
    observations, including EOFs for ozone and PM
  • Diagnose changes in ozone and PM through
    statistical analysis including EOFs
  • Diagnose changes in intercontinental transport
    of pollution

13
PROJECT APPROACH (cont.)
  • 3. Interface CACTUS GCM (or GEOS-CHEM CTM) with
    CMAQ for improved simulation of regional
    pollution including episodes
  • Build model interface including GISS g MM5
    meteorology
  • Conduct a 1-year simulation for 2050 climate
    over scale of continental U.S. (36 km2
    resolution) choose polluted year
  • Analysis
  • Diagnose regional pollution episodes and
    ozone/PM concentration statistics

14
PROJECT TEAM AND RESPONSIBILITIES
  • Harvard (Jacob/Mickley) project leadership, GCM
    and ozone-PM simulations, EOF analysis
  • Caltech (Seinfeld) integration of PM simulation
    into updated CACTUS model, analysis of PM results
  • GISS (Rind) GCM support, analysis of
    climate-driven changes in air pollution
    meteorology
  • Argonne (Streets) global and U.S. inventories of
    ozone and PM precursors, primary PM
  • Tennessee (Fu) interface of CACTUS with CMAQ,
    CMAQ simulation for 2050 climate
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