1. Jeff Vukovich, USEPA/OAQPS/AQAD Emissions Inventory and Analysis Group
Potential Improvements for the Temporal and Spatial Allocation of Emissions using TEMPO data
Jeff Vukovich, USEPA/OAQPS/AQAD
Emissions Inventory and Analysis Group
TEMPO Applications Workshop: July 12-13, 2016 at UAH

2. TEMPO Applications Workshop: July 12-13, 2016 at UAH
Background
Emissions Inventory and Analysis Group (EIAG) consists of Inventory and Emissions Modeling teams
EIAG supports regulatory air quality modeling applications at OAQPS
Global, regional and urban scales (108km to 4km horizontal resolution)
Ozone, Regional Haze, Toxics studies
Historical base year modeling (e.g. using National Emissions Inventory 2011)
Future year modeling (e.g and 2025)
TEMPO Applications Workshop: July 12-13, 2016 at UAH

3. Emissions inventories
Pollutants: NOx , VOC, CO, NH3, SO2, PM2.5, PM10, Toxics
Sectors: onroad mobile, oil and gas, marine vehicles, rail, agriculture/livestock, fires, offshore, international
Temporal resolution
Base year (e.g and upcoming 2014)
Annual, monthly, daily and hour-specific inventories
Spatial resolution
Latitude-longitude
USA County-level
International
Gridded
TEMPO Applications Workshop: July 12-13, 2016 at UAH

4. TEMPO Applications Workshop: July 12-13, 2016 at UAH

5. TEMPO Applications Workshop: July 12-13, 2016 at UAH
Annual, Monthly
Or Day-Specific
Inventories
Hourly emissions
County level emissions
Gridded emissions
TEMPO Applications Workshop: July 12-13, 2016 at UAH

6. TEMPO Applications Workshop: July 12-13, 2016 at UAH
Most common EPA modeling domain: 12km resolution
TEMPO Applications Workshop: July 12-13, 2016 at UAH

7. Onroad mobile emissions
Onroad mobile sector involves using vehicle miles traveled, vehicle population, fuels information, emissions factors, and other information to come up with annual/monthly inventory estimates
Modelers take those estimates and apply various temporal profiles and spatial information (road networks etc.) to create hourly emissions
For given locations where onroad mobile sources are the dominant source, TEMPO data can be used to examine the temporal allocation of emissions (monthly, weekly and hourly variations) and possibly examine the accuracy of the magnitude of the emissions
Current studies that examine these type of issues include using near road-side air quality monitors or traffic count monitors
TEMPO Applications Workshop: July 12-13, 2016 at UAH

8. Oil and Gas sector (onshore)
Drilling, number of wells, construction, transport, processing, storage, etc.
Inventory typically consists of emissions estimated at the county level with some point sources
Industry changing rapidly which presents challenges both in estimating emissions magnitudes, and the spatial allocation and temporal allocation of the emissions
For given locations where oil and gas sources are the dominant sources (rural), TEMPO data can be used to examine the spatial and temporal allocation of emissions (monthly, weekly and hourly variations) and possibly examine the accuracy of the magnitude of the emissions
TEMPO Applications Workshop: July 12-13, 2016 at UAH

9. Fires (wildfire, prescribed and agricultural)
Fire sectors in EPA modeling platforms consist of wildfires, prescribed (Rx) and agricultural burns
Wildfires and Rx inventories are day-specific point sources
Ag burns are monthly, county emissions inventories
For given locations where wildfires are the dominant sources, TEMPO data can be used to examine the spatial and temporal allocation of emissions (duration, hourly) and possibly examine the accuracy of the magnitude of the emissions
For given locations where ag burns are the dominant sources (rural), TEMPO data can be used to examine the spatial and temporal allocation of emissions (seasonality ,hourly) and possibly examine the accuracy of the magnitude of the emissions
TEMPO Applications Workshop: July 12-13, 2016 at UAH

10. Offshore and commercial marine vehicle sectors
Emissions sources over water include oil/gas drilling platforms and commercial marine vehicles (CMVs)
These offshore inventories consists of annual emissions estimates as area and point sources
For given locations where offshore oil/gas sources are the dominant sources, TEMPO data can be used to examine the temporal allocation of emissions (monthly, hourly) and possibly examine the accuracy of the magnitude of the emissions
For given locations where marine vessels are the dominant sources, TEMPO data can be used to examine the spatial and temporal allocation of emissions (monthly ,hourly) and possibly examine the accuracy of the magnitude of the emissions
TEMPO Applications Workshop: July 12-13, 2016 at UAH

11. International inventories
Annual Canada and Mexico inventories available: area and point sources
Annual and Monthly Gridded 0.1x0.1deg global inventories
Temporal and spatial allocation data for Canada and Mexico for certain sources may not always be available
In some cases, TEMPO may be able to aide in this allocation process; it also may give us some feedback on emissions magnitudes.
Temporal allocation data for the gridded global inventories is typically consists of USA-like profiles
In some cases, TEMPO/Sentinel-4/GEMS may be able to aide in the temporal allocation of emissions for other countries
TEMPO Applications Workshop: July 12-13, 2016 at UAH

12. Short-term projections of inventories
Current base year inventory data is for year with year 2014 version 1 available soon
EPA has to project emissions into future to examine future air quality conditions
The desired projected years can consist of recent years and/or out to years into the future
The short-term projections can consist of projecting from year 2011 to year 2013 or 2015
Eventually, as the number of years available in the TEMPO data archive increase it may be possible that it can capture short-term emissions trends (e.g to 2022)
TEMPO Applications Workshop: July 12-13, 2016 at UAH

13. TEMPO Applications Workshop: July 12-13, 2016 at UAH
Outreach and Summary
Outreach to annual Community Modeling and Analysis System (CMAS) conferences, EPA Emissions Inventory Conferences, etc.
Continued desire to improve temporal and spatial allocation data for numerous sectors/industries that is being used in emissions models to support air quality modeling efforts
When available, TEMPO data may be able to assist in improving temporal and allocation data for various sources including:
Onroad mobile, fires, oil/gas, offshore, commercial marine, and international
Long term, TEMPO data archives may be able to assist in capturing important short-term emissions trends
Additional sources (e.g. soil/fertlizier/livestock) may also benefit from TEMPO data with air quality and emissions modelers working together
TEMPO Applications Workshop: July 12-13, 2016 at UAH