Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach

Research output: Contribution to conferenceAbstractResearch

Authors

  • Ross Andrew Pidoto
  • Markus Wallner
  • Uwe Haberlandt

External Research Organisations

  • BPI Hannover * Verworn Beratende Ingenieure
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Details

Original languageEnglish
Publication statusPublished - 2017
EventEGU General Assembly 2017 - Wien, Austria
Duration: 23 Apr 201728 Apr 2017

Conference

ConferenceEGU General Assembly 2017
Country/TerritoryAustria
CityWien
Period23 Apr 201728 Apr 2017

Cite this

Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach. / Pidoto, Ross Andrew; Wallner, Markus; Haberlandt, Uwe.
2017. Abstract from EGU General Assembly 2017, Wien, Austria.

Research output: Contribution to conferenceAbstractResearch

Pidoto, RA, Wallner, M & Haberlandt, U 2017, 'Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach', EGU General Assembly 2017, Wien, Austria, 23 Apr 2017 - 28 Apr 2017. <https://ui.adsabs.harvard.edu/link_gateway/2017EGUGA..1911537P/PUB_PDF>
Pidoto RA, Wallner M, Haberlandt U. Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach. 2017. Abstract from EGU General Assembly 2017, Wien, Austria.
Pidoto, Ross Andrew ; Wallner, Markus ; Haberlandt, Uwe. / Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach. Abstract from EGU General Assembly 2017, Wien, Austria.
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title = "Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach",
author = "Pidoto, {Ross Andrew} and Markus Wallner and Uwe Haberlandt",
year = "2017",
language = "English",
note = "EGU General Assembly 2017 ; Conference date: 23-04-2017 Through 28-04-2017",

}

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TY - CONF

T1 - Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach

AU - Pidoto, Ross Andrew

AU - Wallner, Markus

AU - Haberlandt, Uwe

PY - 2017

Y1 - 2017

M3 - Abstract

T2 - EGU General Assembly 2017

Y2 - 23 April 2017 through 28 April 2017

ER -