Data Outputs

HAQAST: 2017 Northern California Wildfires Tiger Team

Lead Contacts: Susan O'Neill, US Forest Service & Minghui Diao, San Jose State University

Short url: http://bit.ly/haqasttiger

CMAQ Air Quality Modeling Results (BAAQMD) - Four Planned Runs

Figure: Modeling Domain

1. No Fires (Anthropogenic and Biogenic Emissions)

2. Baseline ("Business as usual"): BlueSky Fire Emissions, CMAQ Time Profile and Plume Rise (Briggs-based)

3. Sensitivity 1 (hourly ground-based, remotely-sensed time profile): BlueSky Fire Emissions & Plume Rise (Briggs-based), GOES-16 Time Profile (re-run posted 6/10/2019)

4. Sensitivity 2 (100% remotely-sensed): Fire Emissions (GOES-16 FRP, NASA FEER algorithm), Time Profile (GOES-16 Fire Detections), Plume Rise (GOES-16 FRP, Sofiev algorithm)

Inventory of Fire Emissions (USFS, UCD)

Figure: GOES-16 Derived Acres Burned per Hour

Baseline ("Business as usual"): BlueSky Fire Emissions, CMAQ Time Profile and Plume Rise (Briggs-based)

Sensitivity 1: BlueSky Fire Emissions & Plume Rise (Briggs-based), GOES-16 Time Profile (new files 6/3/2019)

Sensitivity 2: GOES-16 Fire Emissions (NASA FEER), GOES-16 Time Profile, GOES-16 Plume Rise (Sofiev)

Other Fires Dataset: All fires, excluding the 5 Major Northern California Fires

PM2.5 and Wind Observations Analysis (SJSU, UCR)

Animated gif

HTML Animation

Python code, observational data (PM2.5, winds, fire perimeters), and hourly png figures at: https://haze.airfire.org/webaccess/susan/HAQAST/Wildfires_TT/PM25_and_Wind_Obs/

Northern California Health Studies (Draft Summary Table)

MISR October 12, 2017 (NASA)

https://haze.airfire.org/webaccess/susan/HAQAST/Wildfires_TT/MISR/

Data Fusion PM2.5 Surfaces (MODIS, Surface Monitors) (NASA MSFC)

https://haze.airfire.org/webaccess/susan/HAQAST/Wildfires_TT/DataFusionPM2.5/

Monitoring Data Output

Unhealthy for Sensitive Groups (USG)

Unhealthy

Very Unhealthy

Hazardous

All Monitors

Monitoring Data csv Files

Monitoring Data Tool - Historical Data

https://tools.airfire.org/historical/

PWFSLSmoke R Package (for working with Monitoring Data)

Mazama Science Github


MAIAC AOD and Plume Injection Height (NASA)

June - November 2018: Monitors within 400km of Sonoma, CA

*For more information about a particular monitor, click the dot on the map and note the “siteName” of the monitor (example: ARB 1037(Spalding)). Next, click on “All Monitors” link under “Monitoring Data Output” section and find the corresponding PNG filename for that monitor (example: ARB1037(Spalding)_lon_.120.787_lat_40.669_arb2.1037_2018_24hrPM2-5.png)

June - November 2017: Monitors within 400km of Sonoma, CA

*For more information about a particular monitor, click the dot on the map and note the “siteName” of the monitor (example: ARB 1037(Spalding)). Next, click on “All Monitors” link under “Monitoring Data Output” section and find the corresponding PNG filename for that monitor (example: ARB1037(Spalding)_lon_.120.787_lat_40.669_arb2.1037_2018_24hrPM2-5.png)

June - November 2016: Monitors within 400km of Sonoma, CA

*For more information about a particular monitor, click the dot on the map and note the “siteName” of the monitor (example: ARB 1037(Spalding)). Next, click on “All Monitors” link under “Monitoring Data Output” section and find the corresponding PNG filename for that monitor (example: ARB1037(Spalding)_lon_.120.787_lat_40.669_arb2.1037_2018_24hrPM2-5.png)

June - November 2015: Monitors within 400km of Sonoma, CA

*For more information about a particular monitor, click the dot on the map and note the “siteName” of the monitor (example: ARB 1037(Spalding)). Next, click on “All Monitors” link under “Monitoring Data Output” section and find the corresponding PNG filename for that monitor (example: ARB1037(Spalding)_lon_.120.787_lat_40.669_arb2.1037_2018_24hrPM2-5.png)