Data-driven scientific workflows: A summary of new technologies and datasets explored at the UNIDATA 2018 workshop

Kevin H. Goebbert, John T. Allen, Victor A. Gensini, Mohan Ramamurthy

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

2 Scopus citations

Original language	English
Pages (from-to)	ES97-ES99
Journal	Bulletin of the American Meteorological Society
Volume	100
Issue number	2
DOIs	https://doi.org/10.1175/BAMS-D-18-0265.1
State	Published - Feb 2019

Access to Document

@article{7f9f4b1ce6fe4a00ab0e513e3613477b,

title = "Data-driven scientific workflows: A summary of new technologies and datasets explored at the UNIDATA 2018 workshop",

author = "Goebbert, \{Kevin H.\} and Allen, \{John T.\} and Gensini, \{Victor A.\} and Mohan Ramamurthy",

year = "2019",

month = feb,

doi = "10.1175/BAMS-D-18-0265.1",

language = "English",

volume = "100",

pages = "ES97--ES99",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

number = "2",

}

TY - JOUR

T1 - Data-driven scientific workflows

T2 - A summary of new technologies and datasets explored at the UNIDATA 2018 workshop

AU - Goebbert, Kevin H.

AU - Allen, John T.

AU - Gensini, Victor A.

AU - Ramamurthy, Mohan

PY - 2019/2

Y1 - 2019/2

UR - https://www.scopus.com/pages/publications/85064113141

U2 - 10.1175/BAMS-D-18-0265.1

DO - 10.1175/BAMS-D-18-0265.1

M3 - Article

AN - SCOPUS:85064113141

SN - 0003-0007

VL - 100

SP - ES97-ES99

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

IS - 2

ER -