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Scott Steinschneider
Scott Steinschneider
cornell.edu의 이메일 확인됨
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Climate adaptation as a control problem: Review and perspectives on dynamic water resources planning under uncertainty
JD Herman, JD Quinn, S Steinschneider, M Giuliani, S Fletcher
Water Resources Research 56 (2), e24389, 2020
2032020
A semiparametric multivariate, multisite weather generator with low‐frequency variability for use in climate risk assessments
S Steinschneider, C Brown
Water resources research 49 (11), 7205-7220, 2013
1982013
Reducing adverse impacts of Amazon hydropower expansion
AS Flecker, Q Shi, RM Almeida, H Angarita, JM Gomes-Selman, ...
Science 375 (6582), 753-760, 2022
1192022
Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima
S Wi, JB Valdés, S Steinschneider, TW Kim
Stochastic environmental research and risk assessment 30, 583-606, 2016
1192016
Dynamic reservoir management with real‐option risk hedging as a robust adaptation to nonstationary climate
S Steinschneider, C Brown
Water Resources Research 48 (5), 2012
1172012
The integrated effects of climate and hydrologic uncertainty on future flood risk assessments
S Steinschneider, S Wi, C Brown
Hydrological Processes 29 (12), 2823-2839, 2015
1142015
A climate change range‐based method for estimating robustness for water resources supply
S Whateley, S Steinschneider, C Brown
Water Resources Research 50 (11), 8944-8961, 2014
982014
Calibration approaches for distributed hydrologic models in poorly gaged basins: implication for streamflow projections under climate change
S Wi, YCE Yang, S Steinschneider, A Khalil, CM Brown
Hydrology and Earth System Sciences 19 (2), 857-876, 2015
972015
The effects of climate model similarity on probabilistic climate projections and the implications for local, risk‐based adaptation planning
S Steinschneider, R McCrary, LO Mearns, C Brown
Geophysical Research Letters 42 (12), 5014-5044, 2015
952015
Expanded decision-scaling framework to select robust long-term water-system plans under hydroclimatic uncertainties
S Steinschneider, R McCrary, S Wi, K Mulligan, LO Mearns, C Brown
Journal of Water Resources Planning and Management 141 (11), 04015023, 2015
862015
Toward a statistical framework to quantify the uncertainties of hydrologic response under climate change
S Steinschneider, A Polebitski, C Brown, BH Letcher
Water Resources Research 48 (11), 2012
782012
A hierarchical B ayesian regional model for nonstationary precipitation extremes in N orthern C alifornia conditioned on tropical moisture exports
S Steinschneider, U Lall
Water Resources Research 51 (3), 1472-1492, 2015
762015
QSARs to predict adsorption affinity of organic micropollutants for activated carbon and β-cyclodextrin polymer adsorbents
Y Ling, MJ Klemes, S Steinschneider, WR Dichtel, DE Helbling
Water research 154, 217-226, 2019
722019
Balancing flood risk and water supply in California: Policy search integrating short‐term forecast ensembles with conjunctive use
MA Nayak, JD Herman, S Steinschneider
Water Resources Research 54 (10), 7557-7576, 2018
722018
A weather‐regime‐based stochastic weather generator for climate vulnerability assessments of water systems in the western United States
S Steinschneider, P Ray, SH Rahat, J Kucharski
Water Resources Research 55 (8), 6923-6945, 2019
712019
Reservoir management optimization for basin-wide ecological restoration in the Connecticut River
S Steinschneider, A Bernstein, R Palmer, A Polebitski
Journal of Water Resources Planning and Management 140 (9), 04014023, 2014
632014
Assessing the physical realism of deep learning hydrologic model projections under climate change
S Wi, S Steinschneider
Water Resources Research 58 (9), e2022WR032123, 2022
602022
A vulnerability‐based, bottom‐up assessment of future riverine flood risk using a modified peaks‐over‐threshold approach and a physically based hydrologic model
J Knighton, S Steinschneider, MT Walter
Water Resources Research 53 (12), 10043-10064, 2017
572017
Daily precipitation and tropical moisture exports across the eastern United States: An application of archetypal analysis to identify spatiotemporal structure
S Steinschneider, U Lall
Journal of Climate 28 (21), 8585-8602, 2015
542015
Can exploratory modeling of water scarcity vulnerabilities and robustness be scenario neutral?
JD Quinn, A Hadjimichael, PM Reed, S Steinschneider
Earth's Future 8 (11), e2020EF001650, 2020
502020
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