Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers: A case study from Copenhagen, Denmark

Nafsika Antoniadou; Hjalte Jomo Danielsen Sørup; Jonas Wied Pedersen; Ida Bülow Gregersen; Torben Schmith; Karsten Arnbjerg-Nielsen

doi:10.5194/egusphere-egu23-5074

Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers: A case study from Copenhagen, Denmark

Nafsika Antoniadou^*
, Hjalte Jomo Danielsen Sørup
, Jonas Wied Pedersen
, Ida Bülow Gregersen
, Torben Schmith
, Karsten Arnbjerg-Nielsen

^*Corresponding author for this work

Department of Environmental and Resource Engineering

Rambøll Denmark
Danish Meteorological Institute

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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Original language	English
Publication date	2023
Number of pages	2
DOIs	https://doi.org/10.5194/egusphere-egu23-5074
Publication status	Published - 2023
Event	European Geosciences Union General Assembly 2023 - Hybrid, Vienna, Austria Duration: 23 Apr 2023 → 28 Apr 2023

Conference

Conference	European Geosciences Union General Assembly 2023
Location	Hybrid
Country/Territory	Austria
City	Vienna
Period	23/04/2023 → 28/04/2023

Bibliographical note

EGU23-5074

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10.5194/egusphere-egu23-5074Licence: CC BY

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Antoniadou, N., Sørup, H. J. D., Pedersen, J. W., Gregersen, I. B., Schmith, T., & Arnbjerg-Nielsen, K. (2023). Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers: A case study from Copenhagen, Denmark. Abstract from European Geosciences Union General Assembly 2023, Vienna, Austria. https://doi.org/10.5194/egusphere-egu23-5074

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title = "Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers: A case study from Copenhagen, Denmark",

author = "Nafsika Antoniadou and S{\o}rup, \{Hjalte Jomo Danielsen\} and Pedersen, \{Jonas Wied\} and Gregersen, \{Ida B{\"u}low\} and Torben Schmith and Karsten Arnbjerg-Nielsen",

note = "EGU23-5074; European Geosciences Union General Assembly 2023, EGU 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

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Antoniadou, N, Sørup, HJD, Pedersen, JW, Gregersen, IB, Schmith, T & Arnbjerg-Nielsen, K 2023, 'Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers: A case study from Copenhagen, Denmark', European Geosciences Union General Assembly 2023, Vienna, Austria, 23/04/2023 - 28/04/2023. https://doi.org/10.5194/egusphere-egu23-5074

Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers: A case study from Copenhagen, Denmark. / Antoniadou, Nafsika; Sørup, Hjalte Jomo Danielsen; Pedersen, Jonas Wied et al.
2023. Abstract from European Geosciences Union General Assembly 2023, Vienna, Austria.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Comparison of data-driven methods for linking extreme precipitation events to large-scale drivers

T2 - European Geosciences Union General Assembly 2023

AU - Antoniadou, Nafsika

AU - Sørup, Hjalte Jomo Danielsen

AU - Pedersen, Jonas Wied

AU - Gregersen, Ida Bülow

AU - Schmith, Torben

AU - Arnbjerg-Nielsen, Karsten

N1 - EGU23-5074

PY - 2023

Y1 - 2023

U2 - 10.5194/egusphere-egu23-5074

DO - 10.5194/egusphere-egu23-5074

M3 - Conference abstract for conference

Y2 - 23 April 2023 through 28 April 2023

ER -