Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars

Abstract 3 4 mm h - 1 using three ground-based continuous-wave Doppler lidars at the Risø campus of the Technical University of Denmark. We demonstrate that the rain bias can effectively be removed by normalizing the noise-flattened 3 kHz sampled Doppler spectra with their peak values before they are averaged down to 50 50 20 - 1.58  m s - 1 for the original raw lidar data to - 0.18  m s - 1 for the normalized lidar data after suppressing strong rain signals. This reduction in the bias occurs during the minute with the highest amount of rain when the focus distance of the lidar is 103.9 9.8 1.2  m, the rain-induced bias is only present at the period with the highest rain intensity and is also effectively eliminated with the procedure. Thus, the proposed method for reducing the impact of rain on continuous-wave Doppler lidar measurements of air velocity is promising and does not require much computational effort.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars ; volume:16 ; number:24 ; year:2023 ; pages:6007-6023 ; extent:17 ; Atmospheric measurement techniques ; 16, Heft 24 (2023), 6007-6023 (gesamt 17)

Beteiligte, Orts- und Zeitangaben

• Urheber: Jin, Liqin ; Mann, Jakob ; Angelou, Nikolas ; Sjöholm, Mikael

Weitere Informationen

• DOI: 10.5194/amt-16-6007-2023
• URN: urn:nbn:de:101:1-2023122103284242264967
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 15.08.2025, 07:36 MESZ