EE Tools and Methods
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Tools and Methods for Exceptional Event Analysis [edit | edit source]
General Tools and Methods[edit | edit source]
R. Husar, WUStL[edit | edit source]
EE Excess Over Normal Variations[edit | edit source]
PM25Ex, PM25_Ex_ONorm: Flag_Smoke, Flag_Dust, Flag_None
PM25 Anomaly TimeSeries over 30perc
EE Backtrajectory Tools[edit | edit source]
EE Consoles[edit | edit source]
- Browser
- uFIND
- Console
- Wash.U. DataFed: AQ Events, Data, Tools,
STI[edit | edit source]
- Airnow Tech: http://www.airnowtech.org/index.cfm
- BlueSky: http://www.airfire.org/bluesky/
T. Moore, WRAP[edit | edit source]
- WRAP Fire Emissions Tracking System (FETS) http://www.wrapfets.org/ - basis of the 2 Joint Fire Sciences Program projects we are working on, which are:
- DEASCO3 http://www.wrapfets.org/deasco3.cfm - started Winter 2011-12 and completes June 2013, and
- PMDETAIL http://www.wrapfets.org/pmdetail.cfm - started Winter 2012-13 and to complete Spring 2016
- Monitoring Trends in Burn Severity
- Hazard Mapping System
Statistical Ozone Forecast Methods[edit | edit source]
D. Jaffe, U. Washington[edit | edit source]
P. Reddy, Colorado Department of Public Health and Environment Air Pollution Control Division[edit | edit source]
H. Hafner, STI[edit | edit source]
H. Priesler, Forest Service[edit | edit source]
- A Statistical Model for Forecasting Hourly Ozone Levels During Fire Season
- Spatially explicit forecasts of large wildland fire probability and suppression costs for California
Event Detection Tools and Methods[edit | edit source]
Preisler, Climate Applications Laboratory University of California Merced[edit | edit source]
Wildfire Forecast Probabilities and Odds- Preisler and Westerling (2007) and Preisler et al (2011) proposed a seasonal forecast methodology for fire occurrence, extent, and suppression costs for California.