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    Academic Journals

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• Parsimonious statistical learning models for low-flow estimation.

  Authors:Johannes Laimighofer, Michael Melcher, and Gregor LaahaFrom:Hydrology and Earth System Sciences (Vol. 26, Issue 1) Peer-Reviewed

  Jan. 12, 2022325 words Brief article Statistical learning methods offer a promising approach for low-flow regionalization. We examine seven statistical learning models (Lasso, linear, and nonlinear-model-based boosting, sparse partial least squares,...

• A space-time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow.

  Authors:Álvaro Ossandón, Manuela I. Brunner, Balaji Rajagopalan, and William KleiberFrom:Hydrology and Earth System Sciences (Vol. 26, Issue 1) Peer-Reviewed

  Jan. 12, 2022411 words Article Timely projections of seasonal streamflow extremes can be useful for the early implementation of annual flood risk adaptation strategies. However, predicting seasonal extremes is challenging, particularly under...