Observing crosswind over urban terrain using scintillometer and Doppler lidar

In this study, the crosswind (wind component perpendicular to a path, <i>U</i><sub>&bot;</sub>) is measured by a scintillometer and estimated with Doppler lidar above the urban environment of Helsinki, Finland, for 15 days. The scintillometer allows acquisition of a path-...

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Main Authors: D. van Dinther, C. R. Wood, O. K. Hartogensis, A. Nordbo, E. J. O'Connor
Format: Article
Language:English
Published: Copernicus Publications 2015-04-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/8/1901/2015/amt-8-1901-2015.pdf
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spelling doaj-666fff386a004094b05574f7c729bea92020-11-24T22:17:58ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482015-04-01841901191110.5194/amt-8-1901-2015Observing crosswind over urban terrain using scintillometer and Doppler lidarD. van Dinther0C. R. Wood1O. K. Hartogensis2A. Nordbo3E. J. O'Connor4Meteorology and Air Quality Group, Wageningen University, Wageningen, the NetherlandsFinnish Meteorological Institute, Helsinki, FinlandMeteorology and Air Quality Group, Wageningen University, Wageningen, the NetherlandsDepartment of Physics, University of Helsinki, Helsinki, FinlandFinnish Meteorological Institute, Helsinki, FinlandIn this study, the crosswind (wind component perpendicular to a path, <i>U</i><sub>&bot;</sub>) is measured by a scintillometer and estimated with Doppler lidar above the urban environment of Helsinki, Finland, for 15 days. The scintillometer allows acquisition of a path-averaged value of <i>U</i><sub>&bot;</sub> (<span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span>), while the lidar allows acquisition of path-resolved <i>U</i><sub>&bot;</sub> (<i>U</i><sub>&bot;</sub> (<i>x</i>), where <i>x</i> is the position along the path). The goal of this study is to evaluate the performance of scintillometer <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> estimates for conditions under which <i>U</i><sub>&bot;</sub> (<i>x</i>) is variable. Two methods are applied to estimate <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> from the scintillometer signal: the cumulative-spectrum method (relies on scintillation spectra) and the look-up-table method (relies on time-lagged correlation functions). The values of <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> of both methods compare well with the lidar estimates, with root-mean-square deviations of 0.71 and 0.73 m s<sup>&minus;1</sup>. This indicates that, given the data treatment applied in this study, both measurement technologies are able to obtain estimates of <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> in the complex urban environment. The detailed investigation of four cases indicates that the cumulative-spectrum method is less susceptible to a variable <i>U</i><sub>&bot;</sub> (<i>x</i>) than the look-up-table method. However, the look-up-table method can be adjusted to improve its capabilities for estimating <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> under conditions under for which <i>U</i><sub>&bot;</sub> (<i>x</i>) is variable.http://www.atmos-meas-tech.net/8/1901/2015/amt-8-1901-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. van Dinther
C. R. Wood
O. K. Hartogensis
A. Nordbo
E. J. O'Connor
spellingShingle D. van Dinther
C. R. Wood
O. K. Hartogensis
A. Nordbo
E. J. O'Connor
Observing crosswind over urban terrain using scintillometer and Doppler lidar
Atmospheric Measurement Techniques
author_facet D. van Dinther
C. R. Wood
O. K. Hartogensis
A. Nordbo
E. J. O'Connor
author_sort D. van Dinther
title Observing crosswind over urban terrain using scintillometer and Doppler lidar
title_short Observing crosswind over urban terrain using scintillometer and Doppler lidar
title_full Observing crosswind over urban terrain using scintillometer and Doppler lidar
title_fullStr Observing crosswind over urban terrain using scintillometer and Doppler lidar
title_full_unstemmed Observing crosswind over urban terrain using scintillometer and Doppler lidar
title_sort observing crosswind over urban terrain using scintillometer and doppler lidar
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2015-04-01
description In this study, the crosswind (wind component perpendicular to a path, <i>U</i><sub>&bot;</sub>) is measured by a scintillometer and estimated with Doppler lidar above the urban environment of Helsinki, Finland, for 15 days. The scintillometer allows acquisition of a path-averaged value of <i>U</i><sub>&bot;</sub> (<span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span>), while the lidar allows acquisition of path-resolved <i>U</i><sub>&bot;</sub> (<i>U</i><sub>&bot;</sub> (<i>x</i>), where <i>x</i> is the position along the path). The goal of this study is to evaluate the performance of scintillometer <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> estimates for conditions under which <i>U</i><sub>&bot;</sub> (<i>x</i>) is variable. Two methods are applied to estimate <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> from the scintillometer signal: the cumulative-spectrum method (relies on scintillation spectra) and the look-up-table method (relies on time-lagged correlation functions). The values of <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> of both methods compare well with the lidar estimates, with root-mean-square deviations of 0.71 and 0.73 m s<sup>&minus;1</sup>. This indicates that, given the data treatment applied in this study, both measurement technologies are able to obtain estimates of <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> in the complex urban environment. The detailed investigation of four cases indicates that the cumulative-spectrum method is less susceptible to a variable <i>U</i><sub>&bot;</sub> (<i>x</i>) than the look-up-table method. However, the look-up-table method can be adjusted to improve its capabilities for estimating <span style="border-top: 1px solid #000; color: #000;"><i>U</i><sub>&bot;</sub></span> under conditions under for which <i>U</i><sub>&bot;</sub> (<i>x</i>) is variable.
url http://www.atmos-meas-tech.net/8/1901/2015/amt-8-1901-2015.pdf
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