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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6308604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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