David J. Farnham
David J. Farnham
Postdoctoral Scientist at the Department of Global Ecology - Carnegie Institution for Science
Verified email at - Homepage
Cited by
Cited by
How unprecedented was the February 2021 Texas cold snap?
J Doss-Gollin, DJ Farnham, U Lall, V Modi
Environmental Research Letters 16 (6), 064056, 2021
Geophysical constraints on the reliability of solar and wind power worldwide
D Tong, DJ Farnham, L Duan, Q Zhang, NS Lewis, K Caldeira, SJ Davis
Nature Communications 12 (1), 1-12, 2021
Developing reliable hourly electricity demand data through screening and imputation
TH Ruggles, DJ Farnham, D Tong, K Caldeira
Scientific Data 7 (1), 1-14, 2020
Citizen science-based water quality monitoring: Constructing a large database to characterize the impacts of combined sewer overflow in New York City
DJ Farnham, RA Gibson, DY Hsueh, WR McGillis, PJ Culligan, N Zain, ...
Science of The Total Environment 580, 168-177, 2017
Regional Extreme Precipitation Events: Robust Inference From Credibly Simulated GCM Variables
DJ Farnham, J Doss‐Gollin, U Lall
Water Resources Research 54 (6), 3809–3824, 2018
Robust Adaptation to Multiscale Climate Variability
J Doss‐Gollin, DJ Farnham, S Steinschneider, U Lall
Earth's Future 7 (7), 734-747, 2019
Contrasting the Views and Actions of Data Collectors and Data Consumers in a Volunteer Water Quality Monitoring Project: Implications for Project Design and Management
C Cooper, L Larson, KK Holland, R Gibson, D Farnham, D Hsueh, ...
Citizen Science: Theory and Practice 2 (1), 2017
Promoting reproducibility and increased collaboration in electric sector capacity expansion models with community benchmarking and intercomparison efforts
CL Henry, H Eshraghi, O Lugovoy, MB Waite, JF DeCarolis, DJ Farnham, ...
Applied Energy 304, 117745, 2021
Predictive statistical models linking antecedent meteorological conditions and waterway bacterial contamination in urban waterways
DJ Farnham, U Lall
Water research 76, 143-159, 2015
Meteorology and climatology of historical weekly wind and solar power resource droughts over western North America in ERA5
PT Brown, DJ Farnham, K Caldeira
SN Applied Sciences 3 (10), 1-12, 2021
Skillful statistical models to predict seasonal wind speed and solar radiation in a Yangtze River estuary case study
P Zeng, X Sun, DJ Farnham
Scientific Reports 10 (1), 1-11, 2020
Circulation in Lake Ontario: Numerical and Physical Model Analysis
Y Hui, DJ Farnham, JF Atkinson, Z Zhu, Y Feng
Journal of Hydraulic Engineering 147 (8), 05021004, 2021
Spatial-temporal wind field prediction by Artificial Neural Networks
J Cao, DJ Farnham, U Lall
arXiv preprint arXiv:1712.05293, 2017
Uncertainty analysis of urban sewer system using spatial simulation of radar rainfall fields: New York City case study
A Hamidi, DJ Farnham, R Khanbilvardi
Stochastic environmental research and risk assessment 32 (8), 2293-2308, 2018
The quantity-quality transition in the value of expanding wind and solar power generation
EGA Antonini, TH Ruggles, DJ Farnham, K Caldeira
Iscience 25 (4), 104140, 2022
A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling
Y Amonkar, DJ Farnham, U Lall
Patterns 3 (3), 100454, 2022
Adaptation over Fatalism: Leveraging High-Impact Climate Disasters to Boost Societal Resilience
J Doss-Gollin, DJ Farnham, M Ho, U Lall
Journal of Water Resources Planning and Management 146 (4), 01820001, 2020
Zonal wind indices to reconstruct CONUS winter precipitation
DJ Farnham, S Steinschneider, U Lall
Geophysical Research Letters 44 (24), 12,236-12,243, 2017
Meeting Electricity Demand With Distributed Wind and Solar Generation: System Flexibility Drives Optimal Siting
EGA Antonini, TH Ruggles, DJ Farnham, K Caldeira
ASME International Mechanical Engineering Congress and Exposition 85604 …, 2021
Availability of solar and wind energy during extreme high heat events
DJ Farnham, K Caldeira
AGU Fall Meeting Abstracts 2019, GH33A-03, 2019
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