Artikel mit Open-Access-Mandaten - Upmanu LallWeitere Informationen
Nicht verfügbar: 5
Causes, impacts and patterns of disastrous river floods
B Merz, G Blöschl, S Vorogushyn, F Dottori, JCJH Aerts, P Bates, ...
Nature Reviews Earth & Environment 2 (9), 592-609, 2021
Mandate: Fonds zur Förderung der wissenschaftlichen Forschung, Deutsche …
Modeling and simulation of the vulnerability of interdependent power-water infrastructure networks to cascading failures
Y Zhang, N Yang, U Lall
Journal of Systems Science and Systems Engineering, 1-17, 2016
Mandate: National Natural Science Foundation of China
Landscape changes and their hydrologic effects: Interactions and feedbacks across scales
CM Stephens, U Lall, FM Johnson, LA Marshall
Earth-Science Reviews 212, 103466, 2021
Mandate: Australian Research Council
Relative contribution of climate variability and human activities on the water loss of the Chari/Logone River discharge into Lake Chad: A conceptual and statistical approach
W Zhu, S Jia, U Lall, Q Cao, R Mahmood
Journal of Hydrology 569, 519-531, 2019
Mandate: National Natural Science Foundation of China
The effects of pre‐season high flows, climate, and the Three Gorges Dam on low flow at the Three Gorges Region, China
Z Su, X Sun, N Devineni, U Lall, Z Hao, X Chen
Hydrological Processes 34 (9), 2088-2100, 2020
Mandate: National Natural Science Foundation of China
Verfügbar: 86
National trends in drinking water quality violations
M Allaire, H Wu, U Lall
Proceedings of the National Academy of Sciences 115 (9), 2078-2083, 2018
Mandate: US National Science Foundation
Floods and climate: emerging perspectives for flood risk assessment and management
B Merz, J Aerts, K Arnbjerg-Nielsen, M Baldi, A Becker, A Bichet, ...
Natural Hazards and Earth System Sciences 14 (7), 1921-1942, 2014
Mandate: European Commission
Multi-variate flood damage assessment: a tree-based data-mining approach
B Merz, H Kreibich, U Lall
Natural Hazards and Earth System Sciences 13 (1), 53-64, 2013
Mandate: Deutsche Forschungsgemeinschaft
The future role of dams in the U nited S tates of A merica
M Ho, U Lall, M Allaire, N Devineni, HH Kwon, I Pal, D Raff, D Wegner
Water Resources Research 53 (2), 982-998, 2017
Mandate: US National Science Foundation, US National Oceanic and Atmospheric …
Depletion and response of deep groundwater to climate-induced pumping variability
TA Russo, U Lall
Nature Geoscience 10 (2), 105-108, 2017
Mandate: US National Science Foundation
A snapshot of the world's groundwater challenges
U Lall, L Josset, T Russo
Annual Review of Environment and Resources 45 (1), 171-194, 2020
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
Charting unknown waters—On the role of surprise in flood risk assessment and management
B Merz, S Vorogushyn, U Lall, A Viglione, G Blöschl
Water Resources Research 51 (8), 6399-6416, 2015
Mandate: European Commission
A copula‐based nonstationary frequency analysis for the 2012–2015 drought in California
HH Kwon, U Lall
Water Resources Research 52 (7), 5662-5675, 2016
Mandate: US National Science Foundation
Groundwater depletion will reduce cropping intensity in India
M Jain, R Fishman, P Mondal, GL Galford, N Bhattarai, S Naeem, U Lall, ...
Science Advances 7 (9), eabd2849, 2021
Mandate: US National Aeronautics and Space Administration
Flood frequencies and durations and their response to El Niño Southern Oscillation: Global analysis
PJ Ward, M Kummu, U Lall
Journal of Hydrology 539, 358-378, 2016
Mandate: Academy of Finland, Netherlands Organisation for Scientific Research
Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency
MP Rao, ER Cook, BI Cook, RD D’Arrigo, JG Palmer, U Lall, ...
Nature communications 11 (1), 6017, 2020
Mandate: US National Science Foundation, US National Aeronautics and Space Administration
Flood hazard assessment from storm tides, rain and sea level rise for a tidal river estuary
PM Orton, FR Conticello, F Cioffi, TM Hall, N Georgas, U Lall, ...
Natural hazards 102, 729-757, 2020
Mandate: US National Science Foundation, US National Aeronautics and Space Administration
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
Atmospheric circulation patterns associated with extreme United States floods identified via machine learning
KE Schlef, H Moradkhani, U Lall
Scientific reports 9 (1), 7171, 2019
Mandate: US National Science Foundation
A hierarchical Bayesian regression model for predicting summer residential electricity demand across the USA
S Wang, X Sun, U Lall
Energy 140, 601-611, 2017
Mandate: US National Science Foundation
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