S. Steinschneider

发表

Panel regression techniques for identifying impacts of anthropogenic landscape change on hydrologic response

Yi-Chen E. Yang, S. Steinschneider, Casey M. Brown, 2013 .

Calibration approaches for distributed hydrologic models in poorly gaged basins: implication for streamflow projections under climate change

Yi-Chen E. Yang, S. Steinschneider, Casey M. Brown, 2015 .

The effects of climate model similarity on probabilistic climate projections and the implications for local, risk‐based adaptation planning

L. Mearns, S. Steinschneider, Casey M. Brown, 2015 .

A climate change range‐based method for estimating robustness for water resources supply

S. Steinschneider, Casey M. Brown, Sarah Whateley, 2014 .

A Vulnerability‐Based, Bottom‐up Assessment of Future Riverine Flood Risk Using a Modified Peaks‐Over‐Threshold Approach and a Physically Based Hydrologic Model

Scott Steinschneider, James Knighton, M. Todd Walter, 2017 .

Reservoir Management Optimization for Basin-Wide Ecological Restoration in the Connecticut River

Richard N. Palmer, Alec Bernstein, Scott Steinschneider, 2014 .

Essays on the Quantification and Propagation of Uncertainty in Climate Change Impact Assessments for Water Resource Systems

Scott Steinschneider, S. Steinschneider, 2014 .

Toward a statistical framework to quantify the uncertainties of hydrologic response under climate change

Casey Brown, Scott Steinschneider, Austin Polebitski, 2012 .

Dynamic reservoir management with real‐option risk hedging as a robust adaptation to nonstationary climate

Casey Brown, Scott Steinschneider, S. Steinschneider, 2012 .

Linking global climate change to local water availability: Limitations and prospects for a tropical mountain watershed.

O. Dangles, S. Steinschneider, B. De Bièvre, 2019, The Science of the total environment.

Calibration approaches for distributed hydrologic models using high performance 2 computing in poorly gaged basins : Implication for streamflow projections under 3 climate change 4 5

S. Steinschneider, S. Wi, A. Khalil, 2015 .

Calibration approaches for distributed hydrologic models using high performance computing: implication for streamflow projections under climate change

Yi-Chen E. Yang, S. Steinschneider, Casey M. Brown, 2014 .

Precipitation Scaling With Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity

N. Najibi, S. Steinschneider, S. Mukhopadhyay, 2022, Geophysical Research Letters.

Coordinated Reservoir Management Planning for Large-Scale Ecological Restoration

D. Ahlfeld, R. Palmer, S. Steinschneider, 2012 .

Influences of North Atlantic climate variability on low-flows in the Connecticut River Basin

S. Steinschneider, Casey M. Brown, C. Brown, 2011 .

Summer Covariability of Surface Climate for Renewable Energy across the Contiguous United States: Role of the North Atlantic Subtropical High

S. Steinschneider, K. Doering, 2018, Journal of Applied Meteorology and Climatology.

Can PDSI inform extreme precipitation?: An exploration with a 500 year long paleoclimate reconstruction over the U.S.

Upmanu Lall, E. Cook, S. Steinschneider, 2016 .

Seasonal Hydrologic Forecasts in Multi-Objective Water Resources Management: Safeguards against Forecast Failure

D. Ahlfeld, R. Palmer, S. Steinschneider, 2011 .

Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems

S. Riha, S. Steinschneider, J. Melkonian, 2018, Environmental Research Letters.

Relations between Large-Scale Atmospheric Circulation Patterns and New England River Flow

R. Palmer, S. Steinschneider, Casey M. Brown, 2010 .

Combining regression and spatial proximity for catchment model regionalization: a comparative study

Yi-Chen E. Yang, S. Steinschneider, Casey M. Brown, 2015 .

Linking exploratory scenarios to process-informed insights in climate vulnerability assessments

J. Herman, S. Steinschneider, Wyatt Arnold, 2021 .

A water balance based, spatiotemporal evaluation of terrestrial evapotranspiration products across the contiguous United States.

Martha C. Anderson, C. Hain, S. Steinschneider, 2018, Journal of hydrometeorology.

Copula Theory as a Generalized Framework for Flow‐Duration Curve Based Streamflow Estimates in Ungaged and Partially Gaged Catchments

W. Asquith, S. Steinschneider, W. Farmer, 2019, Water Resources Research.

Rainfed maize yield response to management and climate covariability at large spatial scales

S. Riha, S. Steinschneider, J. Melkonian, 2018, Agricultural and Forest Meteorology.

Can Exploratory Modeling of Water Scarcity Vulnerabilities and Robustness Be Scenario Neutral?

P. Reed, S. Steinschneider, J. Quinn, 2020, Earth's Future.

Spatial Bias in Medium-Range Forecasts of Heavy Precipitation in the Sacramento River Basin: Implications for Water Management

Zachary P. Brodeur, S. Steinschneider, Z. Brodeur, 2020, Journal of Hydrometeorology.

Assessing the Physical Realism of Deep Learning Hydrologic Model Projections Under Climate Change

S. Steinschneider, S. Wi, 2022, Water Resources Research.

Leveraging Spatial Patterns in Precipitation Forecasts Using Deep Learning to Support Regional Water Management

Zachary P. Brodeur, J. Herman, S. Steinschneider, 2022, Water Resources Research.

A multi-objective paleo-informed reconstruction of western US weather regimes over the past 600 years

P. Reed, S. Steinschneider, Rohini S. Gupta, 2022, Climate Dynamics.

Establishing Opportunities and Limitations of Forecast Use in the Operational Management of Highly Constrained Multiobjective Water Systems

S. Steinschneider, L. Fry, Deborah Lee, 2022, Journal of Water Resources Planning and Management.

Bias Correction of Hydrologic Projections Strongly Impacts Inferred Climate Vulnerabilities in Institutionally Complex Water Systems

H. Zeff, J. Herman, T. Pavelsky, 2022, Journal of Water Resources Planning and Management.

Balancing Flood Risk and Water Supply in California: Policy Search Integrating Short‐Term Forecast Ensembles With Conjunctive Use

J. Herman, S. Steinschneider, M. Nayak, 2018, Water Resources Research.

Investigating Long-Range Seasonal Predictability of East African Short Rains: Influence of the Mascarene High on the Indian Ocean Walker Cell

J. Albertson, S. Steinschneider, Xiao Peng, 2020, Journal of Applied Meteorology and Climatology.

Characterization of Multi‐Scale Fluvial Suspended Sediment Transport Dynamics Across the United States Using Turbidity and Dynamic Regression

S. Steinschneider, Kezhen Wang, 2022, Water Resources Research.

Inter‐model Comparison of Turbidity‐Discharge Rating Curves and the Implications for Reservoir Operations Management

S. Steinschneider, R. Mukundan, R. Gelda, 2021, JAWRA Journal of the American Water Resources Association.

Prediction and Inference of Flow Duration Curves Using Multioutput Neural Networks

Scott Steinschneider, William H. Asquith, Scott C. Worland, 2019, Water Resources Research.

Daily Precipitation and Tropical Moisture Exports across the Eastern United States: An Application of Archetypal Analysis to Identify Spatiotemporal Structure

Upmanu Lall, Scott Steinschneider, Upmanu Lall, 2015 .

Forecast‐informed low‐flow frequency analysis in a Bayesian framework for the northeastern United States

Casey Brown, Scott Steinschneider, S. Steinschneider, 2012 .

Characterization and drivers of haloacetic acids in New York State

S. Steinschneider, Rassil Sayess, 2023, AWWA Water Science.

Characterizing Hydrologic Vulnerability under Nonstationary Climate and Antecedent Conditions Using a Process-Informed Stochastic Weather Generator

S. Steinschneider, Wyatt Arnold, P. Ray, 2022, Journal of Water Resources Planning and Management.

Climate Adaptation as a Control Problem: Review and Perspectives on Dynamic Water Resources Planning Under Uncertainty

Matteo Giuliani, Jonathan D. Herman, Sarah Marie Fletcher, 2020, Water Resources Research.

A Probabilistic, Parcel‐Level Inundation Prediction Tool for Medium‐Range Flood Forecasting in Large Lake Systems

S. Steinschneider, J. Foley, Kyla Semmendinger, 2020, JAWRA Journal of the American Water Resources Association.

Evaluating suspended sediment and turbidity reduction projects in a glacially conditioned catchment through dynamic regression and fluvial process‐based modelling

S. Steinschneider, Kezhen Wang, Dany Davis, 2021 .

Hierarchical regression models for dendroclimatic standardization and climate reconstruction

Upmanu Lall, Edward R. Cook, Scott Steinschneider, 2017 .

Feature engineering for subseasonal-to-seasonal warm-season precipitation forecasts in the Midwestern US: towards a unifying hypothesis of anomalous warm-season hydroclimatic circulation

S. Steinschneider, D. A. Herrera, E. Carter, 2021, Journal of Climate.

A Bayesian Approach to Recreational Water Quality Model Validation and Comparison in the Presence of Measurement Error

S. Steinschneider, E. Potash, 2022, Water Resources Research.

Spatiotemporal Structure of Precipitation Related to Tropical Moisture Exports over the Eastern United States and Its Relation to Climate Teleconnections

Upmanu Lall, S. Steinschneider, 2016 .

Reducing adverse impacts of Amazon hydropower expansion

Jonathan M. Gomes-Selman, Erin I. Larson, S. Hamilton, 2022, Science.

Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima

Tae-Woong Kim, Scott Steinschneider, Sungwook Wi, 2016, Stochastic Environmental Research and Risk Assessment.

El Niño and the U.S. precipitation and floods: What was expected for the January–March 2016 winter hydroclimate that is now unfolding?

Upmanu Lall, S. Steinschneider, 2016 .

Hydroclimatological Drivers of Extreme Floods on Lake Ontario

S. Steinschneider, E. Carter, 2018, Water Resources Research.

Seasonal Predictability and Change of Large-Scale Summer Precipitation Patterns over the Northeast United States

S. Steinschneider, Kuk‐Hyun Ahn, 2019, Journal of Hydrometeorology.

A Rapid Response Survey to Characterize the Impacts of the 2017 High Water Event on Lake Ontario

R. Stedman, S. Steinschneider, A. Styler, 2019, JAWRA Journal of the American Water Resources Association.

Assessing Aircraft Performance in a Warming Climate

Francis A. Galgano, S. Steinschneider, Ross Lee, 2021 .

Potential Predictability of Regional Precipitation and Discharge Extremes Using Synoptic-Scale Climate Information via Machine Learning: An Evaluation for the Eastern Continental United States

Geoff Pleiss, M. Walter, S. Steinschneider, 2019, Journal of Hydrometeorology.

A hierarchical Bayesian regional model for nonstationary precipitation extremes in Northern California conditioned on tropical moisture exports

Upmanu Lall, S. Steinschneider, 2015 .

Modeling the Impact of Climate Change on Hydropower Operations in the Connecticut River Basin

R. Palmer, S. Steinschneider, Kyle O'Neil, 2013 .

The effects of wind generation and other market determinants on price spikes

C. L. Anderson, S. Steinschneider, K. Doering, 2021 .

Decision Scaling (DS): Decision Support for Climate Change

Patrick A. Ray, David Yates, Sungwook Wi, 2019, Decision Making under Deep Uncertainty.

Identifying weather regimes for regional‐scale stochastic weather generators

N. Najibi, S. Steinschneider, S. Mukhopadhyay, 2020, International Journal of Climatology.

A user-friendly software package for VIC hydrologic model development

Casey Brown, Scott Steinschneider, Eleonora M. C. Demaria, 2017, Environ. Model. Softw..

Uncertainty Decomposition to Understand the Influence of Water Systems Model Error in Climate Vulnerability Assessments

J. Herman, S. Steinschneider, P. Ruggiero, 2023, Water Resources Research.

Spatiotemporal Impacts of Climate and Demand on Water Supply in the Apalachicola-Chattahoochee-Flint Basin

Casey Brown, Scott Steinschneider, Katherine E. Schlef, 2018 .

Expanded Decision-Scaling Framework to Select Robust Long-Term Water-System Plans under Hydroclimatic Uncertainties

Casey Brown, Linda O. Mearns, Scott Steinschneider, 2015 .

The integrated effects of climate and hydrologic uncertainty on future flood risk assessments

Casey Brown, Scott Steinschneider, Sungwook Wi, 2015 .

Time‐varying, nonlinear suspended sediment rating curves to characterize trends in water quality: An application to the Upper Hudson and Mohawk Rivers, New York

S. Steinschneider, Kuk‐Hyun Ahn, 2019, Hydrological Processes.

Dynamic linear models to explore time‐varying suspended sediment‐discharge rating curves

S. Steinschneider, Kuk‐Hyun Ahn, B. Yellen, 2017 .

Potential Impacts of Changes in Climate on Turbidity in New York City’s Ashokan Reservoir

R. Palmer, S. Steinschneider, L. DeCristofaro, 2016 .

Time‐varying suspended sediment‐discharge rating curves to estimate climate impacts on fluvial sediment transport

S. Steinschneider, Kuk‐Hyun Ahn, 2018 .

Drivers of Variability in Public‐Supply Water Use Across the Contiguous United States

G. Hornberger, S. Steinschneider, S. Worland, 2018 .

Diagnosing the Time-Varying Value of Forecasts in Multiobjective Reservoir Control

Patrick M. Reed, Scott Steinschneider, Kenji Doering, 2021, Journal of Water Resources Planning and Management.

A Multivariate Approach to Generate Synthetic Short‐To‐Medium Range Hydro‐Meteorological Forecasts Across Locations, Variables, and Lead Times

Zachary P. Brodeur, S. Steinschneider, Z. Brodeur, 2021, Water Resources Research.

A generalized approach to generate synthetic short-to-medium range hydro-meteorological forecasts

Zachary P. Brodeur, S. Steinschneider, Z. Brodeur, 2020 .

A semiparametric multivariate, multisite weather generator with low‐frequency variability for use in climate risk assessments

Casey Brown, Scott Steinschneider, S. Steinschneider, 2013 .

QSARs to predict adsorption affinity of organic micropollutants for activated carbon and β-cyclodextrin polymer adsorbents.

William R. Dichtel, S. Steinschneider, W. Dichtel, 2019, Water research.

A multi-objective paleo-informed reconstruction of western US weather regimes over the past 600 years

P. Reed, S. Steinschneider, Rohini S. Gupta, 2022, Climate Dynamics.

Six Hundred Years of Reconstructed Atmospheric River Activity Along the US West Coast

A. P. Williams, S. Steinschneider, S. S. Borkotoky, 2023, Journal of Geophysical Research: Atmospheres.

Reconstructing Extreme Precipitation in the Sacramento River Watershed Using Tree‐Ring Based Proxies of Cold‐Season Precipitation

A. P. Williams, E. Cook, S. Steinschneider, 2021, Water Resources Research.

A predictive computational platform for optimizing the design of bioartificial pancreas devices

A. Datta, S. Steinschneider, T. Kin, 2022, Nature Communications.

Hierarchical Bayesian Model for Streamflow Estimation at Ungauged Sites via Spatial Scaling in the Great Lakes Basin

S. Steinschneider, Kuk‐Hyun Ahn, 2019, Journal of Water Resources Planning and Management.

A 500‐Year Tree Ring‐Based Reconstruction of Extreme Cold‐Season Precipitation and Number of Atmospheric River Landfalls Across the Southwestern United States

Upmanu Lall, A. P. Williams, E. Cook, 2018, Geophysical Research Letters.

A Diagnostic-Predictive Assessment of Winter Precipitation over the Laurentian Great Lakes: Effects of ENSO and Other Teleconnections

S. Steinschneider, Wang Fu, 2019, Journal of Hydrometeorology.

A Weather‐Regime‐Based Stochastic Weather Generator for Climate Vulnerability Assessments of Water Systems in the Western United States

Scott Steinschneider, Patrick Ray, S. Steinschneider, 2019, Water Resources Research.

Stochastic Watershed Model Ensembles for Long‐Range Planning: Verification and Validation

Zachary P. Brodeur, R. Vogel, S. Steinschneider, 2023, Water Resources Research.

Evaluation of Environmental Degradation Kinetics Using Hierarchical Bayesian Modeling

Yun Yu, Scott Steinschneider, David A. Reckhow, 2015 .

Optimizing Reservoir Operations in the Connecticut River Basin

Kelcy T. Adamec, R. Palmer, S. Steinschneider, 2010 .

A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States

R. Palmer, S. Steinschneider, Kuk‐Hyun Ahn, 2017 .

Heterogeneous Vulnerability of Zero-Carbon Power Grids under Climate-Technological Changes

S. Steinschneider, Vivek Srikrishnan, K. Doering, 2023, arXiv.org.

Quantifying the multi-scale and multi-resource impacts of large-scale adoption of renewable energy sources

S. Steinschneider, L. Anderson, Vivek Srikrishnan, 2023, ArXiv.

Evaluating the intensity, duration, and frequency of flexible energy resources needed in a zero-emission, hydropower reliant power system

S. Steinschneider, K. Doering, C. Anderson, 2023, Oxford Open Energy.

Extreme Precipitation‐Temperature Scaling in California: The Role of Atmospheric Rivers

N. Najibi, S. Steinschneider, 2023, Geophysical Research Letters.

Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin

Carla P. Gomes, Yexiang Xue, Scott Steinschneider, 2018, AAAI.

Robust Adaptation to Multiscale Climate Variability

David J. Farnham, Upmanu Lall, Scott Steinschneider, 2019, Earth's Future.

Understanding the Contributions of Paleo‐Informed Natural Variability and Climate Changes to Hydroclimate Extremes in the San Joaquin Valley of California

S. Steinschneider, Rohini S. Gupta, P. Reed, 2023, Earth's Future.

A hierarchical Bayesian model of storm surge and total water levels across the Great Lakes shoreline – Lake Ontario

S. Steinschneider, 2021 .

On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration

S. Steinschneider, S. Wi, 2024, Hydrology and Earth System Sciences.

Risk-based hydrologic design under climate change using stochastic weather and watershed modeling

S. Steinschneider, Z. Brodeur, Ghazal Shabestanipour, 2024, Frontiers in Water.

Synthetic Forecast Ensembles for Evaluating Forecast Informed Reservoir Operations

S. Steinschneider, B. Whitin, Z. Brodeur, 2024, Water Resources Research.

Final Technical Report for the New York Water Resources Institute Dynamic sediment-discharge rating curve models to support climate-smart management of water quality in the New York City water supply system

S. Steinschneider, 2018 .

A Hybrid, Non‐Stationary Stochastic Watershed Model (SWM) for Uncertain Hydrologic Simulations Under Climate Change

S. Steinschneider, Z. Brodeur, Ghazal Shabestanipour, 2024, Water Resources Research.

On the need for physical constraints in deep learning rainfall-runoff 1 projections under climate change

S. Steinschneider, S. Wi, 2023 .

Evaluation of climate change impacts to reservoir operations within the Connecticut River basin.

Kelcy T. Adamec, D. Ahlfeld, R. Palmer, 2010 .