Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment

Debnath, Mithu; Iungo, Giacomo Valerio; Brewer, W. Alan; Choukulkar, Aditya; Delgado, Ruben; Gunter, Scott; Lundquist, Julie K.; Schroeder, John L.; Wilczak, James M.; Wolfe, Daniel

doi:10.5194/amt-10-1215-2017

i

Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment

2017
By Debnath, Mithu ; Iungo, Giacomo Valerio ; Brewer, W. Alan ; ...

Details

Journal Title:

Atmospheric Measurement Techniques
Personal Author:

Debnath, Mithu ; Iungo, Giacomo Valerio ; Brewer, W. Alan ; Choukulkar, Aditya ; Delgado, Ruben ; Gunter, Scott ; Lundquist, Julie K. ; Schroeder, John L. ; Wilczak, James M. ; Wolfe, Daniel
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; PSL (Physical Sciences Laboratory) ; CSL (Chemical Sciences Laboratory)
Description:

During the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) campaign, which was carried out at the Boulder Atmospheric Observatory (BAO) in spring 2015, multiple-Doppler scanning strategies were carried out with scanning wind lidars and Ka-band radars. Specifically, step–stare measurements were collected simultaneously with three scanning Doppler lidars, while two scanning Ka-band radars carried out simultaneous range height indicator (RHI) scans. The XPIA experiment provided the unique opportunity to compare directly virtual-tower measurements performed simultaneously with Ka-band radars and Doppler wind lidars. Furthermore, multiple-Doppler measurements were assessed against sonic anemometer data acquired from the meteorological tower (met-tower) present at the BAO site and a lidar wind profiler. This survey shows that – despite the different technologies, measurement volumes and sampling periods used for the lidar and radar measurements – a very good accuracy is achieved for both remote-sensing techniques for probing horizontal wind speed and wind direction with the virtual-tower scanning technique.
Keywords:

Mathematical Models Remote Sensing Winds Mathematical Models Remote Sensing
Source:

Atmos. Meas. Tech., 10, 1215–1227, 2017
DOI:

https://doi.org/10.5194/amt-10-1215-2017
Document Type:

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha256:b3e204e5b5473c80484d1fed572d03fbdc720bcdd03eed659b40987b300286c9
Download URL:

https://repository.library.noaa.gov/view/noaa/28086/noaa_28086_DS1.pdf
File Type:

[PDF - 7.60 MB ]

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