Improving mesoscale wind speed forecasts  using lidar-based observation nudging  for airborne wind energy systems

Sommerfeld, Markus; Dörenkämper, Martin; Steinfeld, Gerald; Crawford, Curran

doi:https://doi.org/10.5194/wes-4-563-2019

Articles | Volume 4, issue 4

https://doi.org/10.5194/wes-4-563-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-4-563-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 4, issue 4

Research article

|

18 Oct 2019

Research article |

| 18 Oct 2019

Improving mesoscale wind speed forecasts using lidar-based observation nudging for airborne wind energy systems

Markus Sommerfeld, Martin Dörenkämper, Gerald Steinfeld, and Curran Crawford

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Final revised paper (published on 18 Oct 2019)
Preprint (discussion started on 19 Mar 2019)

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'INTERACTIVE COMMENT to Sommerfeld M. et al. (2019) DOI: 10.5194/wes-2019-7', Massimo Ippolito, 10 Apr 2019
- EC1: 'Editor judgement of comment by M. Ippolito', Jakob Mann, 16 Apr 2019
SC2: 'A question about the methods which lead to Fig. 3', Philip Bechtle, 16 Apr 2019
- AC3: 'Reply to comments on wes-2019-7', Markus Sommerfeld, 29 Jun 2019
RC1: 'Review', Rogier Floors, 18 Apr 2019
- AC1: 'Reply to comments on wes-2019-7', Markus Sommerfeld, 29 Jun 2019
SC3: 'Taking into account the HAWE architecture issue', Eugenio Saraceno, 19 Apr 2019
- AC4: 'Reply to comments on wes-2019-7', Markus Sommerfeld, 29 Jun 2019
RC2: 'Review of paper "Improving mid-altitude mesoscale wind speed forecasts using LiDAR-based observation nudging for AirborneWind Energy Systems" by Sommerfeld et al.', Roland Schmehl, 02 May 2019
- AC2: 'Reply to comments on wes-2019-7', Markus Sommerfeld, 29 Jun 2019

Peer-review completion

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

AR by Markus Sommerfeld on behalf of the Authors (30 Jun 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (21 Aug 2019) by Jakob Mann

RR by Rogier Floors (30 Aug 2019)

ED: Publish subject to technical corrections (06 Sep 2019) by Jakob Mann

ED: Publish subject to technical corrections (06 Sep 2019) by Jakob Mann (Chief editor)

AR by Markus Sommerfeld on behalf of the Authors (12 Sep 2019) Author's response Manuscript

Short summary

Airborne wind energy systems aim to operate at altitudes above conventional wind turbines where reliable high-resolution wind data are scarce. Wind measurements and computational simulations both have advantages and disadvantages when assessing the wind resource at such heights. This article investigates whether assimilating measurements into the model generates a more accurate wind data set up to 1100 m. These wind data sets are used to estimate optimal AWES operating altitudes and power.