Automatic water mixing events identification in the Koljö fjord observatory data

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

Original language	English
Pages (from-to)	67-79
Number of pages	12
Journal	International Journal of Data Science and Analytics
Volume	7
DOIs	https://doi.org/doi.org/10.1007/s41060-018-0132-z
Publication status	Published - 2019

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@article{bd751858b1cb4f9db59ed7c822cb6448,

title = "Automatic water mixing events identification in the Kolj{\"o} fjord observatory data",

author = "Markus G{\"o}tz and Mikhail Kononets and C. Bodenstein and Morris Riedel and Matthias Book and P{\'a}lsson, \{{\'O}lafur P{\'e}tur\}",

year = "2019",

doi = "doi.org/10.1007/s41060-018-0132-z",

language = "English",

volume = "7",

pages = "67--79",

journal = "International Journal of Data Science and Analytics",

issn = "2364-415X",

publisher = "Springer International Publishing",

}

TY - JOUR

T1 - Automatic water mixing events identification in the Koljö fjord observatory data

AU - Götz, Markus

AU - Kononets, Mikhail

AU - Bodenstein, C.

AU - Riedel, Morris

AU - Book, Matthias

AU - Pálsson, Ólafur Pétur

PY - 2019

Y1 - 2019

U2 - doi.org/10.1007/s41060-018-0132-z

DO - doi.org/10.1007/s41060-018-0132-z

M3 - Article

SN - 2364-415X

VL - 7

SP - 67

EP - 79

JO - International Journal of Data Science and Analytics

JF - International Journal of Data Science and Analytics

ER -