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dc.contributor.authorWatson, Warren-
dc.contributor.authorWolken-Möhlmann, Gerrit-
dc.contributor.authorGottschall, Julia-
dc.date.accessioned2025-10-22T11:40:11Z-
dc.date.available2025-10-22T11:40:11Z-
dc.date.issued2025-04-03-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/457-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/413-
dc.description.abstractThese 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.en
dc.description.abstractFile 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.en
dc.description.abstractFile 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.en
dc.language.isoenen
dc.relation.ispartof10.5194/wes-2025-45-
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectFloating-Lidaren
dc.subjectLidaren
dc.subjectTurbulence intensityen
dc.subjectRemote sensingen
dc.subjectMotion Compensationen
dc.titleEvaluating the Impact of Motion Compensation on Turbulence Intensity Measurements from Continuous-Wave and Pulsed Floating Lidarsen
dc.title.alternativeDataseten
dc.typeTabular Dataen
dc.description.technicalinformationPython-specific binary format (.pkl) file (written using Python 3.11.9).en
fordatis.groupEnergietechnologien und Klimaschutzen
fordatis.instituteIWES Fraunhofer-Institut für Windenergiesystemeen
fordatis.rawdatafalseen
fordatis.date.start2024-04-06-
fordatis.date.end2024-07-09-
fordatis.embargo.contactInfowarren.watson@iwes.fraunhofer.deen
Enthalten in den Sammlungen:Fraunhofer-Institut für IWES

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
2025-10-07_Statistics.pklBinned TI statistics21,94 kBPython Binary Pickle (.pkl)Öffnen/Download
2025-10-07_Timeseries.pkl
  Bis 2027-10-14
10-minute Lidar TI timeseries data145,61 kBPython Binary Pickle (.pkl)Öffnen/Download Eine Dokumentkopie anfordern


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