Washington State 2012 Wildfire Smoke PM2.5 Exposure Estimates Using Blended Models
by William Lassman
Available on 1 platform
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Description
Washington State 2012 wildfire season data blending in-situ monitors, satellite observations, and chemical-transport model simulations to estimate population exposure to PM2.5 from wildfire smoke. The dataset, created by William Lassman, includes process data and code for ridge-regression and geographically weighted ridge-regression blending models. Performance of individual and blended exposure-estimation techniques was evaluated using leave-one-out cross-validation.
Use Cases
Evaluate PM2.5 exposure estimation techniques based on the described blending of in-situ, satellite, and model data.
Train or validate machine learning models for air quality prediction based on the described ridge-regression methods.
Analyze spatial and temporal patterns of wildfire smoke exposure during a specific fire season based on the described geospatial blending.
Assess the impact of monitor density on exposure model accuracy based on the described hypothetical scenario analysis.
Strengths
Focuses on a specific geographic region and time period: Washington State during the 2012 wildfire season.
Compares and blends three distinct exposure-estimation tools: in-situ measurements, satellite observations, and chemical-transport model simulations.
Employs two specific modeling techniques for blending: ridge-regression and geographically weighted ridge-regression models.
Includes process data and code, facilitating reproducibility of the analysis.
Limitations
Row count, column definitions, and file formats are unknown, which limits suitability assessment.
Last update date is unknown; freshness unverified.
The description indicates blending provided only marginal improvements for this specific season due to high monitor density, potentially limiting its generalizability.
Provenance
Source
William Lassman
Collection Method
Blending of in-situ measurements, satellite-based observations, and chemical-transport model simulations using regression models.
Time Range
2012 wildfire season
Geography
Washington State, USA
License is listed as Open Access (green); specific terms should be verified.