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Nathaniel Chaney

Assistant Professor of Civil and Environmental Engineering
Civil and Environmental Engineering
CIEMAS 2463, Durham, NC 27708

Overview


Prior to arriving at Duke, I was a postdoctoral research associate in the program in Atmospheric and Oceanic Sciences at Princeton University and had a dual appointment as a visiting research scientist at the NOAA Geophysical Fluid Dynamics Laboratory. I obtained my undergraduate degree at U.C. Berkeley where I received a Bachelor of Arts in Atmospheric Sciences and Applied Mathematics. For my graduate studies, I attended Princeton University where I completed a Ph.D. in Hydrology in the department of Civil and Environmental Engineering.

My research harnesses the existing petabytes of global environmental data to improve understanding of the terrestrial water cycle. More specifically, I focus on quantifying and uncovering the role of multi-scale spatial organization over land (i.e., heterogeneity) in the Earth system. To this end, my group's research has three overarching themes: 1) improve the representation of land heterogeneity in Earth system models, 2) harness environmental data to characterize the observed spatial patterns and features over land, and 3) quantify the sensitivity of the hydrologic cycle to spatial heterogeneity. The tools that my group uses include numerical modeling, satellite remote sensing, machine learning, and high performance computing.

I am currently looking for highly motivated Ph.D. and postdocs. If the research themes of my group are of interest to you, please don't hesitate to email me.

Current Appointments & Affiliations


Assistant Professor of Civil and Environmental Engineering · 2018 - Present Civil and Environmental Engineering, Pratt School of Engineering

In the News


Published January 10, 2023
Climate Scientists Listen to the Clouds
Published September 30, 2022
Duke Experts on Hurricane Recovery: Need a Long-Term Focus
Published November 2, 2021
A Step Toward Better Weather Forecasts

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Recent Publications


A Geostatistics-Based Tool to Characterize Spatio-Temporal Patterns of Remotely Sensed Land Surface Temperature Fields Over the Contiguous United States

Journal Article Journal of Geophysical Research: Atmospheres · September 28, 2024 Surface fluxes and states can recur and remain consistent across various spatial and temporal scales, forming space-time patterns. Quantifying and understanding the observed patterns is desirable, as they provide information about the dynamics of the proce ... Full text Cite
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Recent Grants


Confronting the GFDL land model's sub-grid tiling scheme with observed space-time patterns of land surface temperature: Implications for hydrologic extremes

ResearchPrincipal Investigator · Awarded by National Oceanic and Atmospheric Administration · 2024 - 2027

Artificial Intelligence for Enhancing Sustainability of Water, Nutrient, Salinity, and Pest Management in the Western USA

ResearchPrincipal Investigator · Awarded by University of California - Riverside · 2020 - 2025

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Education, Training & Certifications


Princeton University · 2015 Ph.D.

External Links


www.chaneylab.earth