Abstract
These datasets accompany the WES preprint: Watson, Wolken-Möhlmann & Gottschall (2025), Evaluating the Impact of Motion Compensation on Turbulence Intensity Measurements from Continuous-Wave and Pulsed Floating Lidars (DOI: 10.5194/wes-2025-45).
They cover the FINO3 campaign (German North Sea; 10-min aggregation; wind sector 220°–300°) and compare raw vs motion-compensated TI from a floating ZX300M (cw) and a floating Windcube V2.1 (pulsed) together with a fixed ZX300M reference at 101 m, against Met Mast Cup TI from 101 m.
File 1 — Binned statistics (public)
Title: Binned TI statistics at 101 m (raw vs motion-compensated) with fixed lidar reference
What’s inside: Wind-speed–binned (0.5 m s⁻¹) TI metrics from the analysis period 2024-04-06 to 2024-07-09: mean, min, max, std, Q90, count, MBE/RMBE, RMSE/RRMSE, representative TI error.
Instruments: Floating ZX300M (cw), floating Windcube V2.1 (pulsed), fixed ZX300M.
Columns: WLBZ6_Raw, WLBZ6_Compensated_TI, WLBW4_Raw, WLBW4_Compensated_TI, FINO3_Fixed_Lidar.
Processing: Deterministic motion compensation for LoS tilt/rotation and platform surge/sway/heave/tilt.
File 2 - 10-minute time series data
Title: TI time series at 101 m (raw vs motion-compensated) with fixed lidar reference
What’s inside: Underlying 10-min TI used for File 1.
Instruments: Floating ZX300M (cw), floating Windcube V2.1 (pulsed), fixed ZX300M.
Columns: WLBZ6_Raw_TI_101_m, WLBZ6_Compensated_TI_101_m, WLBW4_Raw_TI_101_m, WLBW4_Compensated_TI_101_m, FINO3_Fixed_Lidar_TI_101_m.
Processing: Deterministic motion compensation for LoS tilt/rotation and platform surge/sway/heave/tilt.
Access: Repository record and metadata are public and citable. Files are temporarily restricted due to ongoing commercial use in a third-party Stage-3 maturity certification. Non-commercial research access may be granted on request under a mutual Data Use Agreement (DUA). Terms will be reviewed after certification completion and, if certification is not granted, annually thereafter.
How to request: Email the corresponding author (warren.watson@iwes.fraunhofer.de) with institution, non-commercial purpose, intended analyses/outputs, and requested period.
Technical Information
Python-specific binary format (.pkl) file (written using Python 3.11.9).