Multipoint reconstruction of wind speeds

Behnken, Christian; Wächter, Matthias; Peinke, Joachim

doi:https://doi.org/10.5194/wes-5-1211-2020

Articles | Volume 5, issue 3

https://doi.org/10.5194/wes-5-1211-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-5-1211-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 5, issue 3

Research article

|

23 Sep 2020

Research article |

| 23 Sep 2020

Multipoint reconstruction of wind speeds

Christian Behnken, Matthias Wächter, and Joachim Peinke

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Final revised paper (published on 23 Sep 2020)
Preprint (discussion started on 05 Feb 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee comment', Anonymous Referee #1, 06 Mar 2020
RC2: 'Review of wes-2020-5', Anonymous Referee #2, 17 Mar 2020
AC1: 'Response to RC1', Christian Behnken, 02 Jun 2020
AC2: 'Response to RC2', Christian Behnken, 02 Jun 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Christian Behnken on behalf of the Authors (07 Jun 2020) Author's response Manuscript

ED: Publish as is (30 Jun 2020) by Horia Hangan

ED: Publish subject to technical corrections (05 Jul 2020) by Gerard J.W. van Bussel (Chief editor)

AR by Christian Behnken on behalf of the Authors (13 Jul 2020) Manuscript

Short summary

We extend the common characterisation and modelling of wind time series with respect to higher-order statistics. We present an approach which enables us to obtain the general multipoint statistics of wind time series measured. This work is an important step in a more comprehensive description of wind also including extreme events. Important is that we show how stochastic equations can be derived from measured wind data which can be used to model long time series.