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  Cornell University

Steinschneider Research Group

Department of Biological and Environmental Engineering

Publications

Publications can also be found here: Google Scholar Citations

2019

Worland, S. C., Steinschneider, S., Farmer, W., Asquith, W., & Knight, R. ( 2019). Copula theory as a generalized framework for flow‐duration curve based streamflow estimates in ungaged and partially gaged catchments. Water Resources Research, 55. https://doi.org/10.1029/2019WR025138

Steinschneider, S., Ray, P., Rahat, S.H., and Kucharski, J. (2019), A weather-regime based stochastic weather generator for climate vulnerability assessments of water systems in the Western United States, Water Resources Research, 55. https://doi.org/10.1029/2018WR024446.

Worland, S., Steinschneider, S., Asquith, W., Knight, R., Wieczorek, M. (2019), Prediction and inference of flow-duration curves using multi-output neural networks, Water Resources Research, 55. https://doi.org/10.1029/2018WR024463.

Doss‐Gollin, J., Farnham, D. J., Steinschneider, S., & Lall, U. (2019). Robust Adaptation to Multi‐Scale Climate Variability. Earth’s Future, 7. https://doi.org/10.1029/2019EF001154

Ahn, K-H, Steinschneider, S. (2019), Seasonal predictability and change of large-scale summer precipitation patterns over the Northeast United States, Journal of Hydrometeorology, 0, https://doi.org/10.1175/JHM-D-18-0252.1

Knighton, J., Pleiss, G. Carter, E., Lyon, S., Walter, M. T., and Steinschneider, S. (2019), Potential Predictability of Regional Precipitation and Discharge Extremes using Synoptic-Scale Climate Information via Machine Learning: An Evaluation for the Eastern Continental United States, Journal of Hydrometeorology, 20, 883–900,https://doi.org/10.1175/JHM-D-18-0196.1

Ahn, K‐H, Steinschneider, S. (2019), Time‐varying, nonlinear suspended sediment rating curves to characterize trends in water quality: An application to the Upper Hudson and Mohawk Rivers, New York, Hydrological Processes, 33, 1865– 1882. https://doi.org/10.1002/hyp.13443

Steinschneider, S., Styler, A., Stedman, R., and Austerman, M. (2019), A Rapid Response Survey to Characterize the Impacts of the 2017 High Water Event on Lake Ontario. Journal of the American Water Resources Association 1065– 1079. https://doi.org/10.1111/1752-1688.12750.

Ling, Y., Klemes, M., Steinschneider, S., Dichtel W., and D. Helbling (2019), QSARs to predict adsorption affinity of organic micropollutants for activated carbon and ß-cyclodextrin polymer adsorbents, Water Research, 154, 217-226, https://doi.org/10.1016/j.watres.2019.02.012.

Ahn, K-H, Steinschneider, S. (2019), A hierarchical Bayesian model for streamflow estimation at ungauged sites via spatial scaling in the Great Lakes basin, Journal of Water Resources Planning and Management, 145 (8), https://doi.org/10.1061/(ASCE)WR.1943-5452.0001091.

2018

Fu, W., and Steinschneider, S. (2018), A diagnostic-predictive assessment of winter precipitation over the Laurentian Great Lakes: effects of ENSO and other teleconnections, Journal of Hydrometeorology, https://doi.org/10.1175/JHM-D-18-0128.1

Doering, K., and Steinschneider, S. (2018), Summer co-variability of surface climate for renewable energy across the contiguous United States: role of the North Atlantic subtropical high, Journal of Applied Meteorology and Climatology, doi: 10.1175/JAMC-D-18-0088.1

Carter, E., Riha, S., Melkonian, J., and Steinschneider, S. (2018), Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems, Environmental Research Letters, in press https://doi.org/10.1088/1748-9326/aae7a8.

González-Zeas, D., Erazo, B., Lloret, P., De Bièvre, B., Steinschneider, S., and Dangles, O. (2018), Linking global climate change to local water management: limitations and prospects for a tropical mountain watershed, Science of the Total Environment, 650(Pt 2):2577-2586. doi: 10.1016/j.scitotenv.2018.09.309.

Nayak, M., Herman, J., and Steinschneider, S. (2018), Balancing flood risk and water supply in California: Policy search integrating short-term forecast ensembles with conjunctive use, Water Resources Research, 54. https://doi.org/10.1029/2018WR023177

Carter, E., & Steinschneider, S. (2018). Hydroclimatological drivers of extreme floods on Lake Ontario. Water Resources Research, 54, 4461 -4478. https://doi.org/10.1029/2018WR022908

Steinschneider, S., Ho, M., Williams. A.P., Cook, E.R., Lall, U. (2018), A 500-year tree-ring based reconstruction of extreme cold-season precipitation and number of atmospheric river landfalls across the Southwestern U.S., Geophysical Research Letters, 45, 5672–5680. https://doi.org/10.1029/2018GL078089

Carter, E.K., Hain, C.R., Anderson, M.C., and Steinschneider, S. (2018), A water balance based, spatiotemporal evaluation of terrestrial evapotranspiration products across the contiguous United States, Journal of Hydrometeorology, accepted, doi.org/10.1175/JHM-D-17-0186.s1.

Carter, E.K., Melkonian, J., Steinschneider, S., Riha, S.J. (2018), Rainfed maize yield response to management and climate covariaiblity at large spatial scales, Agricultural and Forest Meteorology, 256-257, 242-252, doi.org/10.1016/j.agrformet.2018.02.029.

Worland, S., Steinschneider, S., Hornberger, G.M. (2018), Drivers of variability in public-supply water use across the contiguous United States, Water Resources Research, 54(3), 1868-1889doi.org/10.1002/2017WR021268.

Wu, X., Gomes-Selman, J., Shi, Q., Xue, Y., García-Villacorta, R., Anderson, E., Sethi, S., Steinschneider, S., Flecker, A., Gomes, G.P. (2018), Efficiently approximating the Pareto FrontierL hydropower dam placement in the Amazon Basin, Association for the Advancement of Artificial Intelligence, accepted.

Ahn, K-H, Steinschneider, S. (2018), Time-varying suspended sediment-discharge rating curves to estimate climate impacts on fluvial sediment transport. Hydrological Processes, 32 (1), 102-117, doi:10.1002/hyp.11402.

2017

Farnham, D. J., Steinschneider, S., and Lall, U. (2017), Zonal wind indices to reconstruct CONUS winter precipitation, Geophysical Research Letters, 44 (24), doi.org/10.1002/2017GL075959

Knighton, J., Steinschneider, S., & Todd Walter, M. (2017). A vulnerability-based, bottom-up assessment of future riverine flood risk using a modified peaks-over-threshold approach and a physically based hydrologic model. Water Resources Research, 53, doi.org/10.1002/2017WR021036.

Wi, S., Ray, P., Demaria, M.C., Steinschneider, S., and Brown, C. (2017), A user-friendly software package for VIC hydrologic model development, Environmental Modelling and Software, 98, 35-53, doi.org/10.1016/j.envsoft.2017.09.006.

Schlef, K.E., Steinschneider, S. Brown, C.M. (2017), Spatiotemporal impacts of climate and demand on water supply in the Apalachicola-Chattahoochee-Flint Basin, Journal of Water Resources Planning and Management, 144 (2), doi.org/10.1061/(ASCE)WR.1943-5452.0000865.

Steinschneider, S., Cook, E.R., Briffa, K.R., and Lall, U. (2017), Hierarchical regression models for dendroclimatic standardization and climate reconstruction, Dendrochronologia, 44, 174-186, doi.org/10.1016/j.dendro.2017.05.003.

Ahn, K.-H., Yellen, B., and S. Steinschneider (2017), Dynamic linear models to explore time-varying suspended sediment-discharge rating curves, Water Resour. Res., 53, 4802–4820, doi:10.1002/2017WR020381.

Ahn, K.-H., R. Palmer, and S. Steinschneider (2017), A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States, Water Resour. Res., 53, 503–521, doi:10.1002/2016WR019605.

2016

Steinschneider, S., and U. Lall (2016), El Niño and the U.S. precipitation and floods: What was expected for the January-March 2016 winter hydroclimate that is now unfolding?, Water Resources Research, doi: 10.1002/2015WR018470.

Steinschneider, S., M. Ho, E. R. Cook, and U. Lall (2016), Can PDSI inform extreme precipitation?: An exploration with a 500 year long paleoclimate reconstruction over the U.S., Water Resour. Res., 52,3866–3880, doi:1002/2016WR018712.

Steinschneider, S., and U. Lall (2016), Spatiotemporal structure of precipitation related to tropical moisture exports over the eastern United States and its relation to climate teleconnections, Journal of Hydrometeorology, doi: http://dx.doi.org/10.1175/JHM-D-15-0120.1

Whateley, S., Steinschneider, S., and Brown, C. (2016), Selecting Stochastic Climate Realizations to Efficiently Explore a Wide Range of Climate Risk to Water Resource Systems, J. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452.0000631, 06016002.

2015

Wi, S., J.B. Valdes, S. Steinschneider, T.W Kim (2015), Non-stationary frequency analysis of extreme precipitation in South Korea using peaks-over-threshold and annual maxima, Stochastic Environmental Research and Risk Analysis, doi: 10.1007/s00477-015-1180-8.

Steinschneider, S. and U. Lall (2015), Daily Precipitation and Tropical Moisture Exports across the Eastern United States: An Application of Archetypal Analysis to Identify Spatiotemporal Structure. J. Climate, 28, 8585–8602. doi: http://dx.doi.org/10.1175/JCLI-D-15-0340.1

Steinschneider, S., R. McCrary, L. O. Mearns, and C. Brown (2015), The effects of climate model similarity on probabilistic climate projections and the implications for local, risk-based adaptation planning. Geophys. Res. Lett., 42, 5014–5044. doi: 10.1002/2015GL064529.

Yu, Y., Steinschneider, S., and Reckhow, D. (2015), Evaluation of Environmental Degradation Kinetics Using Hierarchical Bayesian Modeling, J. Environ. Eng. , 10.1061/(ASCE)EE.1943-7870.0000997 , 06015008.

Rossi, N., L. DeCristofaro, S. Steinschneider, C. Brown, and R.N. Palmer (2015), Potential impacts of changes in climate on turbidity in New York City’s Ashokan Reservoir, Water Resources Planning and Management, accepted.

Steinschneider, S., and U. Lall (2015), A hierarchical Bayesian regional model for nonstationary precipitation extremes in Northern California conditioned on tropical moisture exports, Water Resour. Res., 51, 1472–1492, doi:10.1002/2014WR016664.

Steinschneider, S., McCrary, R., Wi, S., Mulligan, K., Mearns, L., and Brown, C. (2015). Expanded Decision-Scaling Framework to Select Robust Long-Term Water-System Plans under Hydroclimatic Uncertainties. J. Water Resour. Plann. Manage. ,10.1061/(ASCE)WR.1943-5452.0000536 , 04015023.

Wi, S., Y.C.E. Yang, S. Steinschneider, A. Khalil, and C.M. Brown (2015), Calibration approaches for distributed hydrologic models in poorly gaged basins: implication for streamflow projections under climate change, Hydrol. Earth Syst. Sci., 19, 857-876, doi:10.5194/hess-19-857-2015.

Steinschneider, S., Wi, S., and Brown, C. (2015), The integrated effects of climate and hydrologic uncertainty on future flood risk assessments. Hydrol. Process., 29, 2823–2839. doi:10.1002/hyp.10409.

 2014

Whateley, S., S. Steinschneider, and C. Brown (2014), A climate change range-based method for estimating robustness for water resources supply, Water Resour. Res., 50, 8944–8961, doi:10.1002/2014WR015956.

Steinschneider, S., Y.C. Yang, and C. Brown (2014), Combining regression and spatial proximity for catchment model regionalization: a comparative study, Hydrologic Sciences Journal, doi: 10.1080/02626667.2014.899701.

 2013

Steinschneider, S., Y.C. Yang, and C. Brown (2013), Panel Regression Techniques for Identifying Impacts of Anthropogenic Landscape Change on Hydrologic Response, Water Resources Research, 49, 7874-7886, doi: 10.1002/2013WR013818.

Steinschneider, S., and C. Brown (2013), A semiparametric multivariate, multi-site weather generator with low-frequency variability for use in climate risk assessments, Water Resour. Res., 49, 7205-7220, doi: 10.1002/wrcr.20528.

Steinschneider, S., A. Bernstein, R.N. Palmer, and A. Polebitski (2013), Reservoir management optimization for basin-wide ecological restoration in the Connecticut River, Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000399.

 2012

Steinschneider, S., A. Polebitski, C. Brown, and B. H. Letcher (2012), Toward a statistical framework to quantify the uncertainties of hydrologic response under climate change, Water Resour. Res., 48, W11525, doi:10.1029/2011WR011318.

Steinschneider, S., and C. Brown (2012), Forecast-informed low-flow frequency analysis in a Bayesian framework for the northeastern United States, Water Resour. Res., 48, W10545, doi:10.1029/2012WR011860.

Steinschneider, S., and C. Brown (2012), Dynamic reservoir management with real-option risk hedging as a robust adaptation to nonstationary climate, Water Resour. Res., 48, W05524, doi:10.1029/2011WR011540.

 2011

Steinschneider, S., and C. Brown (2011), Influences of North Atlantic climate variability on low-flows in the Connecticut River Basin, Journal of Hydrology, 409 (1-2), 212-224.

 

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