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Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones

This study presents wind observations from an airborne Doppler Wind Lidar (ADWL) in 2016 tropical cyclones (TC). A description of ADWL measurement collection and quality control methods is introduced for the use in a TC environment. Validation against different instrumentation on-board the National...

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Detalles Bibliográficos
Autores principales: Bucci, Lisa R., O’Handley, Christopher, Emmitt, G. David, Zhang, Jun A., Ryan, Kelly, Atlas, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308604/
https://www.ncbi.nlm.nih.gov/pubmed/30563181
http://dx.doi.org/10.3390/s18124288
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author Bucci, Lisa R.
O’Handley, Christopher
Emmitt, G. David
Zhang, Jun A.
Ryan, Kelly
Atlas, Robert
author_facet Bucci, Lisa R.
O’Handley, Christopher
Emmitt, G. David
Zhang, Jun A.
Ryan, Kelly
Atlas, Robert
author_sort Bucci, Lisa R.
collection PubMed
description This study presents wind observations from an airborne Doppler Wind Lidar (ADWL) in 2016 tropical cyclones (TC). A description of ADWL measurement collection and quality control methods is introduced for the use in a TC environment. Validation against different instrumentation on-board the National Oceanographic and Atmospheric Administration’s WP-3D aircraft shows good agreement of the retrieved ADWL measured wind speed and direction. Measurements taken from instruments such as the global positioning system dropsonde, flight-level wind probe, tail Doppler radar, and Stepped Frequency Microwave Radiometer are compared to ADWL observations by creating paired datasets. These paired observations represent independent measurements of the same observation space through a variety of mapping techniques that account for differences in measurement procedure. Despite high correlation values, outliers are identified and discussed in detail. The errors between paired observations appear to be caused by differences in the ability to capture various length scales, which directly relate to certain regions in a TC regime. In validating these datasets and providing evidence that shows the mitigation of gaps in 3-dimensional wind representation, the unique wind observations collected via ADWL have significant potential to impact numerical weather prediction of TCs.
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spelling pubmed-63086042019-01-04 Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones Bucci, Lisa R. O’Handley, Christopher Emmitt, G. David Zhang, Jun A. Ryan, Kelly Atlas, Robert Sensors (Basel) Article This study presents wind observations from an airborne Doppler Wind Lidar (ADWL) in 2016 tropical cyclones (TC). A description of ADWL measurement collection and quality control methods is introduced for the use in a TC environment. Validation against different instrumentation on-board the National Oceanographic and Atmospheric Administration’s WP-3D aircraft shows good agreement of the retrieved ADWL measured wind speed and direction. Measurements taken from instruments such as the global positioning system dropsonde, flight-level wind probe, tail Doppler radar, and Stepped Frequency Microwave Radiometer are compared to ADWL observations by creating paired datasets. These paired observations represent independent measurements of the same observation space through a variety of mapping techniques that account for differences in measurement procedure. Despite high correlation values, outliers are identified and discussed in detail. The errors between paired observations appear to be caused by differences in the ability to capture various length scales, which directly relate to certain regions in a TC regime. In validating these datasets and providing evidence that shows the mitigation of gaps in 3-dimensional wind representation, the unique wind observations collected via ADWL have significant potential to impact numerical weather prediction of TCs. MDPI 2018-12-05 /pmc/articles/PMC6308604/ /pubmed/30563181 http://dx.doi.org/10.3390/s18124288 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bucci, Lisa R.
O’Handley, Christopher
Emmitt, G. David
Zhang, Jun A.
Ryan, Kelly
Atlas, Robert
Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones
title Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones
title_full Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones
title_fullStr Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones
title_full_unstemmed Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones
title_short Validation of an Airborne Doppler Wind Lidar in Tropical Cyclones
title_sort validation of an airborne doppler wind lidar in tropical cyclones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308604/
https://www.ncbi.nlm.nih.gov/pubmed/30563181
http://dx.doi.org/10.3390/s18124288
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