Impact on Recent North American Air Quality Forecasts of Replacing a Retrospective U.S. Emissions Inventory with a Projected Inventory Michael Moran1,

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Presentation transcript:

Impact on Recent North American Air Quality Forecasts of Replacing a Retrospective U.S. Emissions Inventory with a Projected Inventory Michael Moran1, Qiong Zheng1, Junhua Zhang1, Radenko Pavlovic2, and Mourad Sassi2 1Air Quality Research Division, Environment and Climate Change Canada (ECCC), Toronto, Ontario, Canada 2Air Quality Modelling Applications Section, ECCC, Montreal, Quebec, Canada 16th Annual CMAS Conference Oct. 23-25, 2017 Chapel Hill, North Carolina

Description of Updated Emissions Impact of Updated Emissions Summary Talk Outline Background Description of Updated Emissions Impact of Updated Emissions Summary

Background (1) To make AQ forecasts we should use current emissions National emissions inventories are generally retrospective, that is, representative of a past base year A mismatch occurs when emissions are changing significantly from year to year, as has been the case in North America for the past decade or more

Canadian Relative Annual Air Pollutant Emissions Trends, 1990-2015 Modellers’ inventories: 2006 2010 2013 [From http://ec.gc.ca/indicateurs-indicators/default.asp?lang=en&n=E79F4C12-1]

U.S. SO2 and NOx Annual Emissions Trends, 1990-2016 2011 2017 [from https://www.epa.gov/air-emissions-inventories/air-pollutant-emissions-trends-data]

Background (2) At last year’s CMAS conference Heather Simon (EPA) gave a presentation summarizing concerns over NOx emissions levels in the 2011 NEI: Simon, H., D. Sonntag, M. Beardsley, K. Foley, C. Owen, C. Toro, N. Possiel, and A. Eyth. “Ongoing EPA efforts to evaluate modeled NOy budgets”, 2016 CMAS. It is possible that some of these concerns were due to the use of 2011 NEI emissions for later years Also at last year’s CMAS conference, when I raised this mismatch concern with Alison Eyth (EPA), she responded: “Why not use the projected 2017 NEI for AQ forecasting?” Indeed. Why not? I had used a projected 2012 NEI before.

Recent Updates to RAQDPS Emissions RAQDPS: Regional Air Quality Deterministic Prediction System Emissions last updated in mid 2015 (SET2.1.1): Canada 2010 APEI v1 U.S. 2011 NEI v1 Mexico 1999 (no change) Proposed 2017 update (SET3): Canada 2013 APEI v1 U.S. 2017 projected NEI v2 Mexico 2008

Comparison of Old and New Canadian and U.S. Emissions Inventories -4% -2% Canada, 2010 vs. 2013 -12% -33% -11% U.S., 2011 vs. 2017 -65%

Spatial Distribution of Changes in July SO2 Emissions (New – Old; tonnes/grid cell)

Spatial Distribution of Changes in July NO Emissions (New – Old; tonnes/grid cell)

Spatial Distribution of Changes in July PM2 Spatial Distribution of Changes in July PM2.5 Emissions (New – Old; tonnes/grid cell)

Tests of New Emissions Ran two versions of RAQDPS: operational code, operational emissions (SET2.1.1) operational code, new emissions (SET3) Ran for two 6-week periods: summer 2016 (July 1‒Aug. 16, 2016) winter 2017 (Jan. 1‒Feb. 18, 2017)

Base-Case (OPS) Average Concentrations – Summer 2016 PM2.5 NO2 O3 DIFFERENCES: RAQDPS(SET3) – RAQDPS (OPS)

Base-Case (OPS) Average Concentrations – Winter 2017 PM2.5 NO2 O3 DIFFERENCES: RAQDPS(SET3) – RAQDPS (OPS)

Comparison of 48-hour NO2 and O3 Time Series for Eastern U.S. SUMMER NO2 SUMMER O3 SET2.1.1 SET3 OBS WINTER NO2 WINTER O3

Hourly Objective Scores for NO2, O3, and PM2.5 by Region SUMMER WINTER

Summary A projected emissions inventory incorporates assumptions about expected socioeconomic changes and impacts from implementation of existing control legislation Relative to the 2011 U.S. NEI (v1), annual NOx, SO2, VOC, and CO emissions for a projected 2017 U.S. NEI are lower by 33%, 65%, 11%, and 24%, respectively Tests have been performed for summer 2016 and winter 2017 in which the 2017 projected NEI replaced the 2011 U.S. NEI (v1) in an operational AQ forecast model Use of the projected 2017 U.S. inventory resulted in overall improvements to AQ forecasts for 2016 and 2017, including NO2 and ozone forecasts over the eastern U.S. 

Thank you for your attention!

Overview of Regional GEM-MACH GEM = Global Environmental Multiscale MACH = Modelling Air quality & CHemistry GEM-MACH version 1 in operation since 2009; replaced by version 2 in 2016 Regional grid covers much of North America 10 km horizontal grid spacing 80 vertical levels with lid at 0.1 hPa (~10 levels in 1st km above surface) GEM-MACH is also the FireWork base model One-way coupling (meteorology affects chemistry) for operational version Full representation of oxidant and aerosol chemistry processes: gas-, aqueous- & heterogeneous chemistry mechanisms aerosol dynamics, microphysics, and SOA formation dry and wet deposition (including in- and below-cloud scavenging) 2-bin sectional representation of PM size distribution (i.e., 0-2.5 μm and 2.5-10 μm); each size bin has 8 chemical components Regional yet more than 37 million sq km 19

Change in Forecast Domain from GEM-MACHv1 to GEM-MACHv2