Xuelong2 Shipborne Doppler Lidar Wind-Profile Dataset from the 40th Chinese National Antarctic Research Expedition (Xuelong2-DWL)

Published: 6 September 2026| Version 1 | DOI: 10.17632/w8grt5g2b8.1
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Description

The Xuelong2 Shipborne Doppler Lidar Wind-Profile Dataset (Xuelong2-DWL) contains processed, vessel-motion-corrected wind profiles collected aboard the icebreaker Xuelong 2 during the 40th Chinese National Antarctic Research Expedition. Observations span 31 October 2023 to 16 April 2024 along a transhemispheric voyage from approximately 31.3° N to 77.8° S. The dataset consists of 166 daily CSV files containing 23,675 nominal 10-min profiles acquired with a WindPrint S10000 Doppler lidar operating in five-beam Doppler beam-swinging (DBS5) mode. Files follow the naming convention “YYYYMMDD HHMMSS.csv”; the final six digits indicate the actual acquisition time of the first profile, not a sample number. Filename and profile timestamps are recorded in China Standard Time (UTC+8). Each file includes instrument information, time-matched vessel coordinates, quality indicators, and wind variables at 189 nominal measurement heights from 103.9 to 9872.7 m. Variables include horizontal wind speed and direction, mean signal-to-noise ratio, data-obtain rate, wind-speed standard deviation, maximum and minimum wind speed, vertical wind and vertical-wind standard deviation. Invalid or unavailable retrievals are coded as 999 and should be converted to missing values before analysis. Users should check GPSDataValid when using vessel coordinates and convert timestamps to UTC before matching with UTC-based products. No daily files are available for 10–12 November 2023, and some boundary dates contain partial-day records. The archive contains processed lidar profiles only; raw Doppler spectra, raw line-of-sight measurements, raw GNSS/INS observations, ERA5 source files, collocation outputs and analysis code are not included. The data support analyses of vertical wind structure, latitude-dependent wind regimes and atmospheric reanalysis performance over oceanic and Antarctic routes.

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Antarctica, Lidar Remote Sensing

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