Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Modeling the Health Impacts of Changes.

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Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Changes in U.S. Regional-Scale Air.

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Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Modeling the Health Impacts of Changes in Ozone Due to Climate Change Chris Nolte, Tanya Spero, Neal Fann, Pat Dolwick, Sharon Phillips, and Susan Anenberg U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 13 th Annual CMAS Users’ Conference 28 October 2014

Acknowledgments Kiran Alapaty Jared Bowden Russ Bullock Jerry Herwehe Megan Mallard Lara Reynolds Kathy Brehme Nancy Hwang Daiwen Kang 2

Introduction In response to President’s Climate Action Plan, US Global Change Research Program is writing a special report Impacts of Climate Change on Human Health in the United States: A Scientific Assessment. Draft for public comment March 2015 Final report March Chapters on: Thermal Extremes; Air Quality; Vectorborne and Zoonotic Disease; Waterborne and Foodborne Disease; Food Safety, Nutrition, and Access; Extreme Weather and Climate Events; Mental Health and Stress-Related Disorders; Risk Factors and Populations of Concern Air Quality chapter will include sections on Ambient Air Quality, Indoor Air Quality, and Aeroallergens

Methods Overview Use WRF to downscale IPCC AR5 global climate model (GCM) scenarios over North America Use downscaled meteorology to drive CMAQ to project changes in air quality over continental U.S. attributable to climate change Use change in O 3 as input to BenMAP to estimate effects on O 3 mortality and various measures of morbidity, as well as economic cost of these effects 4

Modeling Configuration – Global and Regional Climate NASA Goddard Institute for Space Studies (GISS) ModelE2 NCAR/DOE Community Earth System Model (CESM) Downscaled two 11-year time slices from 5 th Coupled Model Intercomparison Project (CMIP5) simulations from each model: – from the “historical” run – from RCP 6.0 (ModelE2) or RCP 8.5 (CESM) –36 × 36 km grid cells over most of North America 5

Air Quality Modeling CMAQ 5.02 Meteorology downscaled from GCMs. EPA OTAQ 2030 emissions incorporating existing regulations used for both historical and future CMAQ simulations –Emissions of NO x and SO 2 have declined dramatically in recent years and are projected to continue to decline –Focus of this effort is on the effect of climate change on AQ at 2030 –Where results project changes, these are not relative to present day but rather are relative to what conditions would be if climate did not change CMAQ simulations using CESM-WRF meteorology – and RCP CMAQ simulations using ModelE2-WRF meteorology –Leveraged previous CMAQ simulations using 2006 emissions to select low/middle/high years from each 11-year period 6

Representations of Current Climate – Temperature Biases relative to Climate Forecast System Reanalysis (CFSR) 7 May-Sep daily min May-Sep daily max CESM RCP 8.5ModelE2 RCP 6.0 K Differences in May-Sep averages for

Projected Changes in Daily Min/Max Temperatures from 2000 to May-Sep daily min May-Sep daily max CESM RCP 8.5ModelE2 RCP 6.0 K Differences in 11-year averages (future – historical)

Change in May-September mean MDA8 O 3 9 ModelE2 RCP 6.0 CESM RCP 8.5 ppb All health impacts in this study based on differences in May-September means of daily maximum 8-h O3 (MDA8) Changes in PM not considered for this assessment Climate effects on PM less certain Not modeling changes in wildfires or windblown dust

EPA Benefits Mapping and Analysis Program (BenMAP) Used to assess health impacts and economic benefits of possible emissions control strategies 10

Regional analysis based on NCDC Climate Regions 11

Ozone-Related Premature Deaths in 2030: ModelE2 RCP 6.0 Region Avoided (incurred) premature deaths 1 Northwest22 Rockies(1) West(25) Southwest(10) Upper Midwest (9) Ohio Valley(34) South(15) Northeast16 Southeast20 Total(37) 1 Estimates rounded to two significant figures. Confidence intervals omitted. Impacts estimated using the Bell et al mortality risk coefficient and the ICLUS A1 scenario projected population

Ozone-Related Premature Deaths in 2030: CESM RCP 8.5 Region Avoided (incurred) premature deaths 1 Northwest(1) Rockies(8) West(10) Southwest(11) Upper Midwest (62) Ohio Valley(130) South(25) Northeast(160) Southeast(26) Total(440) 1 Estimates rounded to two significant figures. Confidence intervals omitted. Impacts estimated using the Bell et al mortality risk coefficient and the ICLUS A1 scenario projected population

Avoided (Incurred) Premature Ozone Deaths by Projected Population: RCP6.0 Avoided (incurred) premature deaths estimated from the average of recent-year ( ) and projected ICLUS A ICLUS B Woods & Poole 2030 ICLUS A ICLUS B Average of 3 years ( ) (37)(39)(29)5254 Least conducive (2035) Moderately conducive (2027) (6.5)(0.8) Highly conducive (2025) (340)(320)(280)(440)(400)

Avoided (Incurred) Premature Ozone Deaths by Climate Region &Year: RCP8.5 Climate Region NWRockiesWestSW Upper Midwest Ohio ValleySouthNESE Total Averag e (1)(8)(10)(11)(62)(130)(25)(160)(26)(440) 2025 (18)(7)7420(77)(150)60(210)5(300) 2026 (17)(8)(35)(16)(50)(51)(24)(220)69(350) (10)50(23(71)(77)(8)(110) (440) 2028 (9)(6)5865(34)(27)33(75) (6)(4)8123(28)(110)47(110)(91)(200) (10)(45)(35)(72)(130)(6)(140)7(410) (11)(77)(48)(75)(170)(84)(51)(36)(520) 2032 (14)(11)(3(13)(150)(250)(16)(390)40(810) 2033 (13)(9)(32)(12)(10)(77)(82)4(110)(340) 2034 (2)(4)(110)(59)0(97)(110)(130)(39)(560) 2035 (2)(11)(68)(25)(120)(220)(77)(340)(66)(920)

Summary Warming at 2030 of 0.8 – 1.0 K projected by ModelE2 RCP 6.0 and 1.2 – 3.3 K projected by CESM RCP 8.5 May-September mean MDA8 O3 increases due to climate change 0.5 – 4.5 ppb –Emissions are projected to decline; this will lead to larger decreases in MDA8 O3 than climate-driven increases modeled here. Modeled health impacts range from 37 – 440 additional deaths per year in the U.S. attributable to increases in O 3. Substantial interannual variability 16 Fann N, Nolte CG, Dolwick P, Spero TL, Curry-Brown A, Phillips S, Anenberg S, The geographic distribution and economic value of climate change-related ozone health impacts in the United States in 2030, J. Air Waste Manage. Assoc., in review.

MDA8 O 3 Interannual Variability and Emissions Sensitivity 17 Difference in 11-year avg using 2006 emissions Difference in 3-year avg using 2006 emissions Difference in 3-year avg using 2030 emissions