GCAP (Global Climate and Air Pollution): One of six projects funded by EPA-STAR to study effect of climate change on air quality. Collaborators: Harvard.

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Presentation transcript:

GCAP (Global Climate and Air Pollution): One of six projects funded by EPA-STAR to study effect of climate change on air quality. Collaborators: Harvard University: Daniel J. Jacob, Loretta J. Mickley, Shiliang Wu Argonne: David Streets Caltech: John Seinfeld, Hong Liao Goddard Institute for Space Studies: David Rind Univ. Tennessee: Joshua Fu Number of ozone exceedances averaged over Northeast U.S. sites 1988, hottest on record days Future air quality will depend on changes in both meteorology and emissions. Lin et al., 2001

Blueprint for GCAP : 5 models working together to provide information on climate change impacts Model for precursor emissions archive met fields GEOS-CHEM Global chemistry model CMAQ Regional chemistry model GISS general circulation model Spin-up MM5 Mesoscale model archive chemistry archive met fields changing greenhouse gases

GCAP progress : GISS model III developed, validated Linkages between models completed Present-day global chemistry model validated Present-day global ozone budget analyzed Future emissions of gas-phase precursors and PM developed Tracers of pollution meteorology implemented into GCM Transient simulation in progress Early results from GISS GCM II’ published Paper published or in progress

Implementing tracers of pollution into the GISS GCM GISS general circulation model Spin-up Scenario of changing greenhouse gases 2 tracers with constant emissions over time: Carbon monoxide (COt) Soot (Black carbon, BCt) constant anthropogenic emissions constant CO + OH sink changing rainout of Black Carbon PM changing circulation patterns changing boundary layer height Tracers show sensitivity of pollution to 3 facets of climate.

Early GCAP results: Effects of climate change on air quality over the Midwest and Northeast United States, using CO and BC tracers 1950 spin-up (ocean adjusts) 2000 increasing A1 greenhouse gases 2050 Timeline spin up { +2 o C Temp change Tracers of pollution meteorology implemented into coarse grid version of GISS GCM II’ (9 layers, 4 o x 5 o ) Increasing global mean surface temperature in model with A1 scenario of greenhouse gases

Our approach: Look at daily mean concentrations averaged over specific regions for two 8-year intervals ( ) and ( ). midwest California southeast northeast We can graph the same results as a Cumulative probability plot. Each point indicates one day. Plot shows the percentage of days below a certain concentration. Histogram of COt concentrations averaged over Northeast for summers (July-Aug) 98

Frequency distributions for pollution tracers show higher extremes in 2050s compared to present-day. July – August, similar results over the Midwest U.S. Changes at the extremes are due solely to changes in meteorology (winds, boundary layer height, rainout?) -- not emissions! Mickley et al.,

How does depth of the boundary layer change with changing climate? Higher boundary layer heights in future go in opposite direction to what is needed to explain air quality differences. Triangles indicate days of high pollution Maximum July-August boundary layer heights.

Evolution of a typical pollution episode over 6 days. Less frequent cold fronts across mid-latitudes in the future atmosphere increases duration and severity of pollution episodes. 100 x  g/m 3 weak winds cold front from Canada cyclone (low pressure system) We calculate a 20% decrease in cold fronts coming from Canada in future summers. Reasons: Reduced meridional temp gradient + more efficient latent heat transport. BC

Conclusions Over the Northeast and Midwest, reduced cyclone frequency in future climate increases duration and severity of summertime pollution episodes. Mean episode duration increases from 2 days to 3-4 days. GCMs can be a powerful tool to investigate responses of air quality to climate change. Future Plans for GCAP Calculate sensitivity of U.S. air quality to projected trends in climate and to anthropogenic emissions. Quantify impact of future Asian emissions on U.S. air quality, taking climate change into consideration.

Extra slides

Climate change affects the meridional transport of energy in the model. warm tropicscold poles Eddy transport of latent heat carries energy to higher latitudes. Mid-latitude cyclones push warm air poleward ahead of front, push cold air equatorward behind front. cold front Reduced meridional temperature gradient + more efficient transport of latent heat Fewer cyclones generated + More persistent pollution events in future

Reduced cloud cover 2050s 2000s Back-of-envelope calculation: high-pollution days (top 5% of days in present-day scenario) occur about 60% more frequently in future over Northeast and Midwest. How do you translate our results into “ozone alert days”? Hotter maximum temperatures Higher maximum temperatures and reduced cloud cover suggest increased ozone production, amplifying effect of stagnation. Triangles indicate days of highest BCt concentrations.