Artikel mit Open-Access-Mandaten - James Doss-GollinWeitere Informationen
Verfügbar: 10
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
Mandate: US National Science Foundation, Bundesministerium für Bildung und Forschung
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
Mandate: US National Science Foundation, US Department of Defense
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
Mandate: US National Science Foundation, US National Institutes of Health
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
Mandate: US National Science Foundation, US National Oceanic and Atmospheric …
Robust Adaptation to Multi‐Scale Climate Variability
J Doss‐Gollin, DJ Farnham, S Steinschneider, U Lall
Earth's Future, 2019
Mandate: US National Science Foundation, US Department of Defense
A subjective Bayesian framework for synthesizing deep uncertainties in climate risk management
J Doss‐Gollin, K Keller
Earth's Future 11 (1), e2022EF003044, 2023
Mandate: US National Oceanic and Atmospheric Administration
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
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation
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
Mandate: US Department of Transportation
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