/AirFireModeling

Utilities to ease merging of USFS AirFire model output and monitoring data.

Primary LanguageR

AirFireModeling R Package

Utilities for working with USFS AirFire BlueSky model output and PM2.5 
monitoring data available from AirNow, AIRSIS, WRCC and others.

Background

The USFS Pacific Wildland Fire Sciences Lab AirFire team works to model wildland fire emissions and has created the BlueSky Modeling Framework. This system integrates a wide collection of models along the smoke modeling chain (fire information, fuel loadings, consumption modeling, emissions modeling, time rate of emissions modeling, plume height estimations, and smoke trajectory and dispersion modeling). The resulting model output has been integrated into many different smoke prediction systems and scientific modeling efforts.

The AirFireModeling R package is being developed to help modelers and scientists better understand how the smoke predictions in their model output compare with smoke measurements made at monitoring sites.

The package includes functionality to make it easier to:

  • download and work with gridded BlueSky model output
  • download and work with non-gridded monitoring data
  • convert between gridded and non-gridded representations of the data
  • create maps and timeseries plots of gridded and non-gridded data
  • subset data based on spatial polygons (e.g. HUCs)
  • etc.

Examples

Working example scripts that demonstrate the functionality of the package can be found in the localExamples/ directory. This directory is part of the code base but not part of the R package.


This project is being funded by the USFS Pacific Wildland Fire Sciences Laboratory.