Analysis Dataset for Meteorological and Topographical Drivers of Wildfire-Induced PM2.5 A Spatio-Temporal Perspective from California's 2018 Camp Fire

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Authors: Muhammad Shehzaib Anjum
Cited by: 0

Abstract

Processed dataset combining PM2.5 measurements from EPA monitoring stations with MODIS fire detections, NOAA HMS smoke classifications, ERA5 meteorological variables, and terrain data for California during the 2018 Camp Fire (November 8-25, 2018). This is the analysis dataset containing 74 variables used in the Geographically and Temporally Weighted Regression (GTWR) modeling. See README file for detailed variable descriptions and data sources. This dataset supports the manuscript "Meteorological and Topographical Drivers of Wildfire-Induced PM2.5: A Spatio-Temporal Perspective from California's 2018 Camp Fire" submitted to Journal of Geophysical Research - Atmospheres.

Fields of Study & Subjects

Fire effects on ecosystems Atmospheric aerosols and clouds Atmospheric chemistry and aerosols

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN