Preprint Article Version 1 NOT YET PEER-REVIEWED

The RUNE Experiment–A Database of Remote-Sensing Observations of Near-Shore Winds

  1. DTUWind Energy, Technical University of Denmark, Risø Campus, 4000 Roskilde, Denmark
Version 1 : Received: 17 October 2016 / Approved: 18 October 2016 / Online: 18 October 2016 (07:51:46 CEST)

A peer-reviewed article of this Preprint also exists.

Floors, R.; Peña, A.; Lea, G.; Vasiljević, N.; Simon, E.; Courtney, M. The RUNE Experiment—A Database of Remote-Sensing Observations of Near-Shore Winds. Remote Sens. 2016, 8, 884. Floors, R.; Peña, A.; Lea, G.; Vasiljević, N.; Simon, E.; Courtney, M. The RUNE Experiment—A Database of Remote-Sensing Observations of Near-Shore Winds. Remote Sens. 2016, 8, 884.

Journal reference: Remote Sens. 2016, 8, 884
DOI: 10.3390/rs8110884

Abstract

We present a comprehensive database of near-shore wind observations that were carried out during the experimental campaign of the RUNE project. RUNE aims at reducing the uncertainty of the near-shore wind resource estimates from model outputs by using lidar, ocean, and satellite observations. Here we concentrate in describing the lidar measurements. The campaign was conducted from November 2015 to February 2016 at the west coast of Denmark and comprises measurements from eight lidars, an ocean buoy and three types of satellites. The wind speed was  estimated based on measurements from a scanning lidar performing PPIs, two scanning lidars performing dual synchronized scans, and five vertical profiling lidars, of which one was operating offshore on a floating platform. The availability of measurements is highest for the profiling lidars, followed by the lidar performing PPIs, those peforming the dual setup, and the lidar buoy. Analysis of the lidar measurements reveals good agreement between the estimated 10-m wind speeds, although the instruments used different scanning strategies and measured different volumes in the atmosphere. The campaign is characterized by strong westerlies with occasional storms.

Subject Areas

coastal; experiment; lidar; near-shore; offshore; wind resources

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