1. R Package for Smoke Monitoring Data
Jonathan Callahan - Mazama Science
Pacific Wildland Fire Sciences Lab (PWFSL)

2. Motivation
Air Resource Advisors need up-to-date, QC’ed data and analyses.
Real-time PM2.5 monitoring data from:
AirNow -- permanent
AIRSIS -- temporary (Iridium)
WRCC -- temporary (GOES)
Uniform processing and display:
Process and QC raw data from AIRSIS, WRCC
Handle UTC/local timezones
Provide a selection of plots to better understand the data

3. PWFSLSmoke R package
R is a free, open source statistical programming language.
PWFSLSmoke is a free, open source package for R.
PWFSLSmoke makes it much easier to:
Process raw data
Work with aggregated datasets
Apply algorithms
Generate maps and plots
Write scripts to automate data analysis

4. Demonstration of PWFSLSmoke Package
2017 Wildfire Smoke
Demonstration of PWFSLSmoke Package

5. Smokiest Spots

6. Daily Mean PM2.5

7. Nez Perce Reservation

8. Nez Perce Reservation

9. Unhealthy All Day (average of 10 monitors)

10. Monitors on the Reservation

11. Nez Perce Reservation

12. Monitors near the Reservation

13. Hourly PM2.5 and Nowcast

14. “Hourly AQI” Levels

15. PWFSLSmoke R package -- Features
Ingest, parse, QC and reformat data from:
AirNow, AIRSIS, WRCC
Apply algorithms to PM2.5 timeseries:
rolling means, daily statistics, Nowcast, AQI
Handle time:
UTC, local time, daylight savings, sunrise-sunset
Combine/Subset monitors by:
monitorID, state, time, values, anything in the metadata

16. PWFSLSmoke R package -- Plotting
Static plots:
Timeseries, maps, daily/hourly barplots, diurnal cycle plots
Interactive plots:
Timeseries, maps
Work with “engineering data” from AIRSIS/WRCC:
QC plots, pollution rose plots

17. PWFSL Monitoring Database (for 2018)
Pregenerated files for easy access within the package.
Realtime “latest data” files for:
Airnow, AIRSIS, WRCC
Archival files for:
EPA (monthly, )
AirNow (monthly, 2016-present)
AIRSIS (annual, 2010-present)
WRCC (annual, 2010-present)

18. Potential Extensions -- New Sources of Data
New sources of PM2.5 data can be ingested by creating custom functions for the data processing steps:
Ingest
Parse
Apply Quailty Control
Additional hourly parameters (Ozone, NOX, etc.) could be supported in the same manner.

19. Potential Extensions -- Model-Data Comparison
PWFSL has an in-house R package to work with BlueSky output.
Features include:
Data ingest and conversion
Aggregation of model runs into longer timeseries
Timeseries algorithms
Subsetting by area mask (polygon, distance from point, etc.)
Static plots and maps
Conversion of grid cell timeseries into “fake monitor” timeseries
Model-data comparison with ROC analysis and metrics.
Additional models could be supported with custom ingest/conversion functions.