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Reason: We are still in the process of collecting and filtering the data, and no results have been released yet. For preventative purposes, only metadata is shared.
Ship-based vertical profiling wind lidar data in Lollex campaign 2022-2023
Introduction:
- Timespan : 2022-09-20 : 2023-08-28
- Time resolution : 1 second
- Altitudes (m)= 40 60 80 100 125 150 175 200 225 250 275 290
- CNR (dB) : signal to noise ratio
- Radial Wind Speed (m/s) : wind speed observed along the line of sight of the beam at each timestamp
- Wind Speed (m/s) : Reconstructed wind speed (m/s) at each altitude
- 10-min Wind Speed (m/s)
- Wind Direction : wind direction
- X-wind (m/s) : wind speed component in x direction
- Y-wind (m/s) : wind speed component in y direction
- Z-wind (m/s) : wind speed component in z direction
- Temperature : ambient weather temperature
These data files belong to the Lollex campaign. Data was collected in Rødsand II offshore wind farm (Denmark), aboard the crew transport vessel (CTV) in Rodbyhavn Denmark. The lidar used in this campaign is WindCube V2 offshore produced in Leosphere.
Resource Title:
Statistic and Coherence Response of Ship-based Lidar Observations to Motion Compensation
DOI: 10.1088/1742-6596/1669/1/012020
Aim of data collection:
This one-year campaign aimed to assess wind conditions within Rødsand II offshore wind farm (Denmark).The objective of this campaign was to capture a comprehensive picture of the flow inside the wind farm, with a particular emphasis on momentum entrainment and the characteristics of the internal boundary layer (IBL).
Usage of data:
Using this dataset, wind speed profiles inside the wind farm (during the day) and at the harbor (during night) can be determined. It is possible to detect wind direction and wake loss behind the turbines based on the vessel's position within the wind farm.
In order to retrieve wind speed from lidar data, we recommend using the Python Oblopy package (link in references). This Python package has been developed and published by Christina Duscha at University of Bergen. It is a tool for retrieving wind velocity from wind profiling lidar data.
Upon request, routine scripts can also be provided for processing data.
Dataset specification :
Parameters measured:
Funding
EU H2020 Marie Curie Train2Wind project no. 861291
History
Location
Rødsand II offshore wind farm>Lolland>Denmark (54.656944,11.349444)Date
Start date 2022-09-21 End date 2023-08-28Topic
- Siting;>Resource assessment
- Wind power plant;>Wind farm;>Wakes
Models
- Not applicable
Activities
- Measurements;>Field experiment
External conditions
- Location;>Offshore;>Nearshore
Data category
- Meteorological data
