Using artificial intelligence to improve real-time decision-making for high-impact weather

Amy McGovern; Kimberly L. Elmore; David John Gagne; Sue Ellen Haupt; Christopher D. Karstens; Ryan Lagerquist; Travis Smith; John K. Williams

doi:10.1175/BAMS-D-16-0123.1

Using artificial intelligence to improve real-time decision-making for high-impact weather

Amy McGovern
, Kimberly L. Elmore
, David John Gagne
, Sue Ellen Haupt
, Christopher D. Karstens
, Ryan Lagerquist
, Travis Smith
, John K. Williams

Machine Integration and Learning for Earth Systems

University of Oklahoma
National Oceanic and Atmospheric Administration
National Center for Atmospheric Research
IBM

Research output: Contribution to journal › Article › peer-review

376 Scopus citations

Original language	English
Pages (from-to)	2073-2090
Number of pages	18
Journal	Bulletin of the American Meteorological Society
Volume	98
Issue number	10
DOIs	https://doi.org/10.1175/BAMS-D-16-0123.1
State	Published - Oct 2017

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10.1175/BAMS-D-16-0123.1

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title = "Using artificial intelligence to improve real-time decision-making for high-impact weather",

author = "Amy McGovern and Elmore, \{Kimberly L.\} and Gagne, \{David John\} and Haupt, \{Sue Ellen\} and Karstens, \{Christopher D.\} and Ryan Lagerquist and Travis Smith and Williams, \{John K.\}",

year = "2017",

month = oct,

doi = "10.1175/BAMS-D-16-0123.1",

language = "English",

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T1 - Using artificial intelligence to improve real-time decision-making for high-impact weather

AU - McGovern, Amy

AU - Elmore, Kimberly L.

AU - Gagne, David John

AU - Haupt, Sue Ellen

AU - Karstens, Christopher D.

AU - Lagerquist, Ryan

AU - Smith, Travis

AU - Williams, John K.

PY - 2017/10

Y1 - 2017/10

UR - https://www.scopus.com/pages/publications/85032261230

U2 - 10.1175/BAMS-D-16-0123.1

DO - 10.1175/BAMS-D-16-0123.1

M3 - Article

AN - SCOPUS:85032261230

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SP - 2073

EP - 2090

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

IS - 10

ER -

Using artificial intelligence to improve real-time decision-making for high-impact weather

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