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Hi, I'm Drew. Welcome to my GMO-free, artisanally-crafted, fair trade website! I am a postdoctoral associate at the Duke University Nicholas School of the Environment and an incoming assistant professor of environmental studies and sciences at Oberlin College; also, I have never traveled to an exoplanet. Be aware that this website is very large, and some of it is randomly generated. For the full experience, reload a bunch of times and navigate as follows:
Date: 23 March 2026 at 7pm CET (approximate)
Location: GKN factory
I will discuss the Italian translation of my book at the occupied GKN factory in Florence.
Date: 24 March 2026 at 5pm CET
Location: University of Bologna
I will discuss the Italian translation of my book at the at the interdepartmental seminar "Ecologie Algoritmi Poteri" in Bologna.
Date: 25 March 2026 at 5pm CET
Location: Campus Luigi Einaudi
I will discuss the Italian translation of my book with Dario Padovan in Turin.
Additional events, future and past, are available on my events page.
Pendergrass, D. C., Jacob, D. J., Oak, Y. J., Dang, R., Yang, L. H., Beaudry, E., Colombi, N. K., Zhai, S., Kim, H., Choi, J., Park, J., Kim, S., Li, K., & Liao, H. (2025). Wintertime Trends of Fine Particulate Matter (PM2.5) in South Korea, 2012–2022: Response of Nitrate and Organic Components to Decreasing NOx Emissions. Geophysical Research Letters, 52(19), e2025GL116091. Link to paper (open access). Link to PDF. Read a general audience explainer.
Figure: DJF PM2.5 and trends in South Korea. Panels (a) and (b) show DJF mean PM2.5 at AirKorea surface stations in (a) 2012 and (b) 2022. PM2.5 monitoring at these stations started in 2015, and data for 2012 is from a synthetic PM2.5 network produced using a random forest (RF) algorithm applied to the station data including PM10 (Pendergrass et al., 2025). Panel (c) shows the DJF emission-driven trend in PM2.5 after removing meteorological influence with a multi-linear regression (MLR) fit. Panel (d) shows observed DJF PM2.5 averaged over 25 sites in the city of Seoul, disaggregated into daytime (8-18 LT) and nighttime (22-5 LT) for weekdays and weekends. Panel (e) shows the emission-driven PM2.5 timeseries (residual from the meteorological MLR model) for the Seoul 0.25°×0.3125° grid cell (centered at 37.5°N,127.0°E) and averaging data from 37 sites.
You can learn more about my research on the projects page, or you can read through all of our scientific papers and presentations on their respective pages.
This story covers a long-term ecological research (LTER) site at Harvard Forest, where some scientists, inspired by the Denver Broncos' snow-melting technology, simulated the effects of climate change on a patch of forest by burying heating coils below the soil.
Pendergrass, D. C. (2020). "Ground Control: How forests adapt to climate change." Harper's Magazine. | Read it here.
Read more of my writing here.
19 September 2022 | Listen here
My co-author Troy Vettese and I spoke with Sasha Lilley of Against the Grain on KPFA (Berkeley) about our book Half-Earth Socialism.
Additional interviews and media are available on my interviews page.
CHEEREIO is a tool that uses observations of pollutants in the atmosphere, measured from satellites or surface stations, to correct supercomputer models that simulate the Earth. Powerful use cases for CHEEREIO include tracking pollution back to its source, even if there are no local observations on the ground, and monitoring greenhouse gas emissions in near-real-time. Read more on my projects page or the offical CHEEREIO site.