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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


HydroBlocks-MSSUBv0.1: a multiscale approach for simulating lateral subsurface flow dynamics in Land Surface Models

Journal Article Geoscientific Model Development · January 15, 2026 Groundwater is critical in the hydrological cycle, impacting water supply, agriculture, and climate regulation. However, current Land Surface Models (LSMs) often struggle to accurately represent the multiple spatial scales of subsurface flow primarily due ... Full text Cite

Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): Streamflow observations, forcing data and geospatial data for hydrologic studies across North America

Journal Article Hydrology and Earth System Sciences · October 28, 2025 We build on the existing Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset to present a new dataset aimed at hydrologic studies across North America, with a particular focus on facilitating spatially distributed studies. The da ... 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 - 2026

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Education, Training & Certifications


Princeton University · 2015 Ph.D.

External Links


www.chaneylab.earth