The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluation Using Algorithmic Differentiation

John Backman; Curtis Wood; Mikko Auvinen; Leena Kangas; Ari Karppinen; Jaakko Kukkonen

doi:10.1007/978-3-319-57645-9_14

The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluation Using Algorithmic Differentiation

John Backman, Curtis Wood, Mikko Auvinen, Leena Kangas, Ari Karppinen, Jaakko Kukkonen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Air Pollution Modeling and its Application XXV
Editors	Clemens Mensink, George Kallos
Number of pages	6
Place of Publication	Cham
Publisher	Springer International Publishing AG
Publication date	2018
Pages	89-94
ISBN (Print)	978-3-319-57644-2
ISBN (Electronic)	978-3-319-57645-9
DOIs	https://doi.org/10.1007/978-3-319-57645-9_14
Publication status	Published - 2018
MoE publication type	A4 Article in conference proceedings
Event	35th International Technical Meeting on Air Pollution Modelling and its Application (ITM) - Chania, Greece Duration: 3 Oct 2016 → 7 Oct 2016

Publication series

Name	Springer Proceedings in Complexity
Publisher	Springer
ISSN (Print)	2213-8684
ISSN (Electronic)	2213-8692

Fields of Science

1172 Environmental sciences
114 Physical sciences

Access to Document

10.1007/978-3-319-57645-9_14

Cite this

Backman, J., Wood, C., Auvinen, M., Kangas, L., Karppinen, A., & Kukkonen, J. (2018). The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluation Using Algorithmic Differentiation. In C. Mensink, & G. Kallos (Eds.), Air Pollution Modeling and its Application XXV (pp. 89-94). (Springer Proceedings in Complexity). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-57645-9_14

Backman, John ; Wood, Curtis ; Auvinen, Mikko et al. / The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables : Evaluation Using Algorithmic Differentiation. Air Pollution Modeling and its Application XXV. editor / Clemens Mensink ; George Kallos. Cham : Springer International Publishing AG, 2018. pp. 89-94 (Springer Proceedings in Complexity).

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title = "The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluation Using Algorithmic Differentiation",

keywords = "1172 Environmental sciences, 114 Physical sciences",

author = "John Backman and Curtis Wood and Mikko Auvinen and Leena Kangas and Ari Karppinen and Jaakko Kukkonen",

year = "2018",

doi = "10.1007/978-3-319-57645-9_14",

language = "English",

isbn = "978-3-319-57644-2",

series = "Springer Proceedings in Complexity",

publisher = "Springer International Publishing AG",

pages = "89--94",

editor = "Clemens Mensink and George Kallos",

booktitle = "Air Pollution Modeling and its Application XXV",

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note = "35th International Technical Meeting on Air Pollution Modelling and its Application (ITM) ; Conference date: 03-10-2016 Through 07-10-2016",

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Backman, J, Wood, C, Auvinen, M, Kangas, L, Karppinen, A & Kukkonen, J 2018, The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluation Using Algorithmic Differentiation. in C Mensink & G Kallos (eds), Air Pollution Modeling and its Application XXV. Springer Proceedings in Complexity, Springer International Publishing AG, Cham, pp. 89-94, 35th International Technical Meeting on Air Pollution Modelling and its Application (ITM), Chania, Greece, 03/10/2016. https://doi.org/10.1007/978-3-319-57645-9_14

The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluation Using Algorithmic Differentiation. / Backman, John; Wood, Curtis; Auvinen, Mikko et al.
Air Pollution Modeling and its Application XXV. ed. / Clemens Mensink; George Kallos. Cham: Springer International Publishing AG, 2018. p. 89-94 (Springer Proceedings in Complexity).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables

T2 - 35th International Technical Meeting on Air Pollution Modelling and its Application (ITM)

AU - Backman, John

AU - Wood, Curtis

AU - Auvinen, Mikko

AU - Kangas, Leena

AU - Karppinen, Ari

AU - Kukkonen, Jaakko

PY - 2018

Y1 - 2018

KW - 1172 Environmental sciences

KW - 114 Physical sciences

U2 - 10.1007/978-3-319-57645-9_14

DO - 10.1007/978-3-319-57645-9_14

M3 - Conference contribution

SN - 978-3-319-57644-2

T3 - Springer Proceedings in Complexity

SP - 89

EP - 94

BT - Air Pollution Modeling and its Application XXV

A2 - Mensink, Clemens

A2 - Kallos, George

PB - Springer International Publishing AG

CY - Cham

Y2 - 3 October 2016 through 7 October 2016

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Backman J, Wood C, Auvinen M, Kangas L, Karppinen A, Kukkonen J. The Sensitivity of the Predictions of a Roadside Dispersion Model to Meteorological Variables: Evaluation Using Algorithmic Differentiation. In Mensink C, Kallos G, editors, Air Pollution Modeling and its Application XXV. Cham: Springer International Publishing AG. 2018. p. 89-94. (Springer Proceedings in Complexity). doi: 10.1007/978-3-319-57645-9_14