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  Cornell University

Steinschneider Research Group

Department of Biological and Environmental Engineering

Software and Data

Weather-Regime based Stochastic Weather Generator

Steinschneider et al., 2019 (Link to Paper); Najibi et al., 2020 (Link to Paper)

A weather-regime based stochastic weather generator for developing large-ensemble, multi-site, multivariate climate change scenarios, first published in “A weather-regime based stochastic weather generator for climate vulnerability assessments of water systems in the Western United States” in Water Resources Research.


California Central Valley Hydrologic Models

Wi and Steinschneider, 2022 (Link to Paper)

Four hydrologic models (SAC-SMA, Hymod, VIC, and an LSTM) for basins throughout the California Central Valley published in “Assessing the physical realism of deep learning hydrologic model projections under climate change”, in Water Resources Research.


Lake Ontario – St. Lawrence River Systems Model of Plan 2014

Semmendinger et al. 2022 (Link to Paper)

A model of the “Plan 2014” water level regulation plan for the Lake Ontario – St. Lawrence River system, published in “Establishing Opportunities and Limitations of Forecast Use in the Operational Management of Highly Constrained, Multi-Objective Water Systems” in Journal of Water Resources Planning and Management. This model version is intended for research purposes, and is simplified from the official, operational model version.


Lake Ontario Flood Risk Mapper

Semmendinger and Steinschneider 2020 (Link to Paper)

A bathtub-style inundation prediction model with abstractions of coastal processes (i.e., storm surge and wave runup) for flood forecasting at medium-range (weekly to monthly) timescales along the coastline of Lake Ontario.

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