Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning

Katherine E. Schlef, Hamid Moradkhani, Upmanu Lall

Open source

DOI: 10.1038/s41598-019-43496-w
Published: 2019-05-09
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-019-43496-w,
  title = {Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning},
  author = {Katherine E. Schlef and Hamid Moradkhani and Upmanu Lall},
  year = {2019},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-019-43496-w},
  url = {https://doi.org/10.1038/s41598-019-43496-w}
}

RIS

TY  - JOUR
TI  - Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning
AU  - Katherine E. Schlef
AU  - Hamid Moradkhani
AU  - Upmanu Lall
PY  - 2019
JO  - Scientific Reports
DO  - 10.1038/s41598-019-43496-w
UR  - https://doi.org/10.1038/s41598-019-43496-w
ER  -

APA

Schlef, K. E., Moradkhani, H., & Lall, U. (2019). Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning. Scientific Reports. https://doi.org/10.1038/s41598-019-43496-w

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crossref · retrieved 2026-09-25T22:51:06.136Z