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James Doss-Gollin
James Doss-Gollin
Rice University Department of Civil and Environmental Engineering
Bestätigte E-Mail-Adresse bei rice.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1622021
Probabilistic models significantly reduce uncertainty in Hurricane Harvey pluvial flood loss estimates
V Rözer, H Kreibich, K Schröter, M Müller, N Sairam, J Doss‐Gollin, U Lall, ...
Earth's Future 7 (4), 384-394, 2019
812019
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
352018
MAD water: Integrating modular, adaptive, and decentralized approaches for water security in the climate change era
A Wutich, P Thomson, W Jepson, J Stoler, AD Cooperman, J Doss‐Gollin, ...
Wiley Interdisciplinary Reviews: Water 10 (6), e1680, 2023
312023
Heavy rainfall in Paraguay during the 2015/16 austral summer: Causes and subseasonal-to-seasonal predictive skill
J Doss-Gollin, ÁG Muñoz, SJ Mason, M Pastén
Journal of Climate 31 (17), 6669-6685, 2018
302018
Robust Adaptation to Multi‐Scale Climate Variability
J Doss‐Gollin, DJ Farnham, S Steinschneider, U Lall
Earth's Future, 2019
282019
Differential effects of climate change on average and peak demand for heating and cooling across the contiguous USA
Y Amonkar, J Doss-Gollin, DJ Farnham, V Modi, U Lall
Communications Earth & Environment 4 (1), 402, 2023
182023
Analytic modeling of rainwater harvesting in the Brazilian semiarid northeast
J Doss‐Gollin, FA de Souza Filho, FOE da Silva
Jawra Journal of the American Water Resources Association 52 (1), 129-137, 2016
122016
Flood prediction with graph neural networks
AN Kazadi, J Doss-Gollin, A Sebastian, A Silva
Climate Change AI. Climate Change AI, 2022
102022
A subjective Bayesian framework for synthesizing deep uncertainties in climate risk management
J Doss‐Gollin, K Keller
Earth's Future 11 (1), e2022EF003044, 2023
82023
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
82020
Improving the representation of climate risks in long-term electricity systems planning: a critical review
J Doss-Gollin, Y Amonkar, K Schmeltzer, D Cohan
Current Sustainable/Renewable Energy Reports 10 (4), 206-217, 2023
62023
Enhanced solar and wind potential during widespread temperature extremes across the US interconnected energy grids
D Singh, YS Bekris, CDW Rogers, J Doss-Gollin, ED Coffel, ...
Environmental Research Letters 19 (4), 044018, 2024
52024
Leveraging mesh modularization to lower the computational cost of localized updates to regional 2D hydrodynamic model outputs
M Garcia, A Juan, J Doss-Gollin, P Bedient
Engineering Applications of Computational Fluid Mechanics 17 (1), 2225584, 2023
52023
Mesoscale modeling of distributed water systems enables policy search
X Zhou, L Duenas‐Osorio, J Doss‐Gollin, L Liu, L Stadler, Q Li
Water Resources Research 59 (5), e2022WR033758, 2023
52023
Compound climate risk: diagnosing clustered regional flooding at inter-annual and longer time scales
Y Amonkar, J Doss-Gollin, U Lall
Hydrology 10 (3), 67, 2023
42023
UNSAFE: An UNcertain Structure And Fragility Ensemble framework for property-level flood risk estimation
A Pollack, J Doss-Gollin, V Srikrishnan, K Keller
Center for Open Science, 2024
32024
Differential effects of climate change on average and peak demand for heating and cooling across the contiguous United States
YV Amonkar, J Doss-Gollin, DJ Farnham, U Lall, V Modi
EarthArXiv, 2023
32023
FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction
A Kazadi, J Doss-Gollin, A Sebastian, A Silva
Environmental Data Science 3, e21, 2024
22024
Pluvial flood emulation with hydraulics-informed message passing
A Kazadi, J Doss-Gollin, AL Da Silva
Forty-first International Conference on Machine Learning, 2024
12024
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