Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic ApproachSource: Journal of Atmospheric and Oceanic Technology:;2017:;volume 035:;issue 003::page 473Author:Bonin, Timothy A.
,
Carroll, Brian J.
,
Hardesty, R. Michael
,
Brewer, W. Alan
,
Hajny, Kristian
,
Salmon, Olivia E.
,
Shepson, Paul B.
DOI: 10.1175/JTECH-D-17-0159.1Publisher: American Meteorological Society
Abstract: AbstractA Halo Photonics Stream Line XR Doppler lidar has been deployed for the Indianapolis Flux Experiment (INFLUX) to measure profiles of the mean horizontal wind and the mixing layer height for quantification of greenhouse gas emissions from the urban area. To measure the mixing layer height continuously and autonomously, a novel composite fuzzy logic approach has been developed that combines information from various scan types, including conical and vertical-slice scans and zenith stares, to determine a unified measurement of the mixing height and its uncertainty. The composite approach uses the strengths of each measurement strategy to overcome the limitations of others so that a complete representation of turbulent mixing is made in the lowest km, depending on clouds and aerosol distribution. Additionally, submeso nonturbulent motions are identified from zenith stares and removed from the analysis, as these motions can lead to an overestimate of the mixing height. The mixing height is compared with in situ profile measurements from a research aircraft for validation. To demonstrate the utility of the measurements, statistics of the mixing height and its diurnal and annual variability for 2016 are also presented. The annual cycle is clearly captured, with the largest and smallest afternoon mixing heights observed at the summer and winter solstices, respectively. The diurnal cycle of the mixing layer is affected by the mean wind, growing slower in the morning and decaying more rapidly in the evening with lighter winds.
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contributor author | Bonin, Timothy A. | |
contributor author | Carroll, Brian J. | |
contributor author | Hardesty, R. Michael | |
contributor author | Brewer, W. Alan | |
contributor author | Hajny, Kristian | |
contributor author | Salmon, Olivia E. | |
contributor author | Shepson, Paul B. | |
date accessioned | 2019-09-19T10:03:35Z | |
date available | 2019-09-19T10:03:35Z | |
date copyright | 12/19/2017 12:00:00 AM | |
date issued | 2017 | |
identifier other | jtech-d-17-0159.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261076 | |
description abstract | AbstractA Halo Photonics Stream Line XR Doppler lidar has been deployed for the Indianapolis Flux Experiment (INFLUX) to measure profiles of the mean horizontal wind and the mixing layer height for quantification of greenhouse gas emissions from the urban area. To measure the mixing layer height continuously and autonomously, a novel composite fuzzy logic approach has been developed that combines information from various scan types, including conical and vertical-slice scans and zenith stares, to determine a unified measurement of the mixing height and its uncertainty. The composite approach uses the strengths of each measurement strategy to overcome the limitations of others so that a complete representation of turbulent mixing is made in the lowest km, depending on clouds and aerosol distribution. Additionally, submeso nonturbulent motions are identified from zenith stares and removed from the analysis, as these motions can lead to an overestimate of the mixing height. The mixing height is compared with in situ profile measurements from a research aircraft for validation. To demonstrate the utility of the measurements, statistics of the mixing height and its diurnal and annual variability for 2016 are also presented. The annual cycle is clearly captured, with the largest and smallest afternoon mixing heights observed at the summer and winter solstices, respectively. The diurnal cycle of the mixing layer is affected by the mean wind, growing slower in the morning and decaying more rapidly in the evening with lighter winds. | |
publisher | American Meteorological Society | |
title | Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic Approach | |
type | Journal Paper | |
journal volume | 35 | |
journal issue | 3 | |
journal title | Journal of Atmospheric and Oceanic Technology | |
identifier doi | 10.1175/JTECH-D-17-0159.1 | |
journal fristpage | 473 | |
journal lastpage | 490 | |
tree | Journal of Atmospheric and Oceanic Technology:;2017:;volume 035:;issue 003 | |
contenttype | Fulltext |