Developing reliable hourly electricity demand data through screening and imputation
In Scientific data, 2020

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Adaptation over Fatalism: Leveraging High-Impact Climate Disasters to Boost Societal Resilience
In Journal of Water Resources Planning and Management, 2020

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Robust Adaptation to Multiscale Climate Variability
In Earth’s Future, 2019

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Uncertainty analysis of urban sewer system using spatial simulation of radar rainfall fields: New York City case study
In Stochastic Environmental Research and Risk Assessment, 2018

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Bio

David Farnham is a senior iinnovation scientist at ClimateAI. Prior to this, David Farnham was a postdoctoral research fellow at Carnegie Science and the Department of Global Ecology at Stanford University working with Dr. Ken Caldeira. David is an engineer and applied scientist who investigates climate risk to critical water and energy infrastructure. David holds a PhD from the Department of Earth and Environmental Engineering at Columbia University where he studied under the advisement of Dr. Upmanu Lall.

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