Three-dimensional wind retrieval

Application of MUSCAT to dual-Doppler lidar

Susanne Drechsel, Michel Chong, Georg J. Mayr, Martin Weissmann, Ronald Calhoun, Andreas Dörnback

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

During the field campaign of the Terrain-induced Rotor Experiment (T-REX) in the spring of 2006, Doppler lidar measurements were taken in the complex terrain of the Californian Owens Valley for six weeks. While fast three-dimensional (3D) wind analysis from measured radial wind components is well established for dual weather radars, only the feasibility was shown for dual-Doppler lidars. A computationally inexpensive, variational analysis method developed for multiple-Doppler radar measurements over complex terrain was applied. The general flow pattern of the 19 derived 3D wind fields is slightly smoothed in time and space because of lidar scan duration and analysis algorithm. The comparison of extracted wind profiles to profiles from radiosondes and wind profiler reveals differences of wind speed and direction of less than 1.1 m s-1 and 3°, on average, with standard deviations not exceeding 2.7 m s-1 and 27°, respectively. Standard velocity-azimuth display (VAD) retrieval method provided higher vertical resolution than the dual-Doppler retrieval, but no horizontal structure of the flow field. The authors suggest a simple way to obtain a good first guess for a dual-lidar scan strategy geared toward 3D wind retrieval that minimizes scan duration and maximizes spatial coverage.

Original languageEnglish (US)
Pages (from-to)635-646
Number of pages12
JournalJournal of Atmospheric and Oceanic Technology
Volume26
Issue number3
DOIs
StatePublished - 2009

Fingerprint

Doppler lidar
Optical radar
complex terrain
lidar
wind profile
Doppler radar
profiler
radiosonde
wind field
flow pattern
wind direction
azimuth
flow field
Radiosondes
wind velocity
Radar measurement
weather
valley
Flow patterns
Flow fields

ASJC Scopus subject areas

  • Atmospheric Science
  • Ocean Engineering

Cite this

Three-dimensional wind retrieval : Application of MUSCAT to dual-Doppler lidar. / Drechsel, Susanne; Chong, Michel; Mayr, Georg J.; Weissmann, Martin; Calhoun, Ronald; Dörnback, Andreas.

In: Journal of Atmospheric and Oceanic Technology, Vol. 26, No. 3, 2009, p. 635-646.

Research output: Contribution to journalArticle

Drechsel, Susanne ; Chong, Michel ; Mayr, Georg J. ; Weissmann, Martin ; Calhoun, Ronald ; Dörnback, Andreas. / Three-dimensional wind retrieval : Application of MUSCAT to dual-Doppler lidar. In: Journal of Atmospheric and Oceanic Technology. 2009 ; Vol. 26, No. 3. pp. 635-646.
@article{d0acbf67ea2a49e19582c8cc59aa2ef7,
title = "Three-dimensional wind retrieval: Application of MUSCAT to dual-Doppler lidar",
abstract = "During the field campaign of the Terrain-induced Rotor Experiment (T-REX) in the spring of 2006, Doppler lidar measurements were taken in the complex terrain of the Californian Owens Valley for six weeks. While fast three-dimensional (3D) wind analysis from measured radial wind components is well established for dual weather radars, only the feasibility was shown for dual-Doppler lidars. A computationally inexpensive, variational analysis method developed for multiple-Doppler radar measurements over complex terrain was applied. The general flow pattern of the 19 derived 3D wind fields is slightly smoothed in time and space because of lidar scan duration and analysis algorithm. The comparison of extracted wind profiles to profiles from radiosondes and wind profiler reveals differences of wind speed and direction of less than 1.1 m s-1 and 3°, on average, with standard deviations not exceeding 2.7 m s-1 and 27°, respectively. Standard velocity-azimuth display (VAD) retrieval method provided higher vertical resolution than the dual-Doppler retrieval, but no horizontal structure of the flow field. The authors suggest a simple way to obtain a good first guess for a dual-lidar scan strategy geared toward 3D wind retrieval that minimizes scan duration and maximizes spatial coverage.",
author = "Susanne Drechsel and Michel Chong and Mayr, {Georg J.} and Martin Weissmann and Ronald Calhoun and Andreas D{\"o}rnback",
year = "2009",
doi = "10.1175/2008JTECHA1115.1",
language = "English (US)",
volume = "26",
pages = "635--646",
journal = "Journal of Atmospheric and Oceanic Technology",
issn = "0739-0572",
publisher = "American Meteorological Society",
number = "3",

}

TY - JOUR

T1 - Three-dimensional wind retrieval

T2 - Application of MUSCAT to dual-Doppler lidar

AU - Drechsel, Susanne

AU - Chong, Michel

AU - Mayr, Georg J.

AU - Weissmann, Martin

AU - Calhoun, Ronald

AU - Dörnback, Andreas

PY - 2009

Y1 - 2009

N2 - During the field campaign of the Terrain-induced Rotor Experiment (T-REX) in the spring of 2006, Doppler lidar measurements were taken in the complex terrain of the Californian Owens Valley for six weeks. While fast three-dimensional (3D) wind analysis from measured radial wind components is well established for dual weather radars, only the feasibility was shown for dual-Doppler lidars. A computationally inexpensive, variational analysis method developed for multiple-Doppler radar measurements over complex terrain was applied. The general flow pattern of the 19 derived 3D wind fields is slightly smoothed in time and space because of lidar scan duration and analysis algorithm. The comparison of extracted wind profiles to profiles from radiosondes and wind profiler reveals differences of wind speed and direction of less than 1.1 m s-1 and 3°, on average, with standard deviations not exceeding 2.7 m s-1 and 27°, respectively. Standard velocity-azimuth display (VAD) retrieval method provided higher vertical resolution than the dual-Doppler retrieval, but no horizontal structure of the flow field. The authors suggest a simple way to obtain a good first guess for a dual-lidar scan strategy geared toward 3D wind retrieval that minimizes scan duration and maximizes spatial coverage.

AB - During the field campaign of the Terrain-induced Rotor Experiment (T-REX) in the spring of 2006, Doppler lidar measurements were taken in the complex terrain of the Californian Owens Valley for six weeks. While fast three-dimensional (3D) wind analysis from measured radial wind components is well established for dual weather radars, only the feasibility was shown for dual-Doppler lidars. A computationally inexpensive, variational analysis method developed for multiple-Doppler radar measurements over complex terrain was applied. The general flow pattern of the 19 derived 3D wind fields is slightly smoothed in time and space because of lidar scan duration and analysis algorithm. The comparison of extracted wind profiles to profiles from radiosondes and wind profiler reveals differences of wind speed and direction of less than 1.1 m s-1 and 3°, on average, with standard deviations not exceeding 2.7 m s-1 and 27°, respectively. Standard velocity-azimuth display (VAD) retrieval method provided higher vertical resolution than the dual-Doppler retrieval, but no horizontal structure of the flow field. The authors suggest a simple way to obtain a good first guess for a dual-lidar scan strategy geared toward 3D wind retrieval that minimizes scan duration and maximizes spatial coverage.

UR - http://www.scopus.com/inward/record.url?scp=65549100134&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=65549100134&partnerID=8YFLogxK

U2 - 10.1175/2008JTECHA1115.1

DO - 10.1175/2008JTECHA1115.1

M3 - Article

VL - 26

SP - 635

EP - 646

JO - Journal of Atmospheric and Oceanic Technology

JF - Journal of Atmospheric and Oceanic Technology

SN - 0739-0572

IS - 3

ER -