Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement

The satellite-based observations of the Fabry-Perot Interferometer interference ring in the middle and upper atmosphere (80–300 km) are simulated, which include the 557.7 nm, 630.0 nm, and O2 (0–0) airglows. Based on the simulation, the central wavelength of the airglow is determined to calculate th...

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Main Authors: Houmao Wang, Huanhuan Yan, Liping Fu, Xiaoxin Zhang, Weiguo Zong
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.1080/22797254.2020.1752810
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spelling doaj-a89c3e16b2b749b2a9b936f951cf5e442021-01-04T18:22:11ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542020-01-0153114515510.1080/22797254.2020.17528101752810Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurementHoumao Wang0Huanhuan Yan1Liping Fu2Xiaoxin Zhang3Weiguo Zong4Chinese Academy of SciencesNational Satellite Meteorological Center, China Meteorological AdministrationChinese Academy of SciencesNational Satellite Meteorological Center, China Meteorological AdministrationNational Satellite Meteorological Center, China Meteorological AdministrationThe satellite-based observations of the Fabry-Perot Interferometer interference ring in the middle and upper atmosphere (80–300 km) are simulated, which include the 557.7 nm, 630.0 nm, and O2 (0–0) airglows. Based on the simulation, the central wavelength of the airglow is determined to calculate the wind. First, based on the relationship model between the wavelength and peak position of the interferometer fringe, the peak position is adjusted by changing the wavelength until it is equal to the measured peak position. Then, the nominal wind is calculated by combining the obtained wavelength with the assumed wavelength of zero wind speed. Finally, the final wind is obtained by the zero reference correction. To validate the method, the scheme is used for wind retrieval, and the results are compared with the actual winds, which are the input parameters in the simulation. The average errors of the 557.7 nm and 630.0 nm dayglow are 3.18 m/s and 3.29 m/s, respectively. The average errors of the nightglow are slightly larger at 3.79 m/s (557.7 nm) and 9.08 m/s (630.0 nm), owing to their weak radiation. The average error of O2 (0–0) is 1.41 m/s, while it is 5.88 m/s using the traditional method. These results show that this method is applicable to wind retrieval.http://dx.doi.org/10.1080/22797254.2020.1752810fabry-perot interferometerwind retrievalairglowsatellite-based simulationground-based measurementwavelength depth method
collection DOAJ
language English
format Article
sources DOAJ
author Houmao Wang
Huanhuan Yan
Liping Fu
Xiaoxin Zhang
Weiguo Zong
spellingShingle Houmao Wang
Huanhuan Yan
Liping Fu
Xiaoxin Zhang
Weiguo Zong
Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement
European Journal of Remote Sensing
fabry-perot interferometer
wind retrieval
airglow
satellite-based simulation
ground-based measurement
wavelength depth method
author_facet Houmao Wang
Huanhuan Yan
Liping Fu
Xiaoxin Zhang
Weiguo Zong
author_sort Houmao Wang
title Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement
title_short Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement
title_full Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement
title_fullStr Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement
title_full_unstemmed Wind retrieval of Fabry-Perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement
title_sort wind retrieval of fabry-perot interferometer in the middle and upper atmosphere using wavelength depth method based on satellite-based simulation and ground-based measurement
publisher Taylor & Francis Group
series European Journal of Remote Sensing
issn 2279-7254
publishDate 2020-01-01
description The satellite-based observations of the Fabry-Perot Interferometer interference ring in the middle and upper atmosphere (80–300 km) are simulated, which include the 557.7 nm, 630.0 nm, and O2 (0–0) airglows. Based on the simulation, the central wavelength of the airglow is determined to calculate the wind. First, based on the relationship model between the wavelength and peak position of the interferometer fringe, the peak position is adjusted by changing the wavelength until it is equal to the measured peak position. Then, the nominal wind is calculated by combining the obtained wavelength with the assumed wavelength of zero wind speed. Finally, the final wind is obtained by the zero reference correction. To validate the method, the scheme is used for wind retrieval, and the results are compared with the actual winds, which are the input parameters in the simulation. The average errors of the 557.7 nm and 630.0 nm dayglow are 3.18 m/s and 3.29 m/s, respectively. The average errors of the nightglow are slightly larger at 3.79 m/s (557.7 nm) and 9.08 m/s (630.0 nm), owing to their weak radiation. The average error of O2 (0–0) is 1.41 m/s, while it is 5.88 m/s using the traditional method. These results show that this method is applicable to wind retrieval.
topic fabry-perot interferometer
wind retrieval
airglow
satellite-based simulation
ground-based measurement
wavelength depth method
url http://dx.doi.org/10.1080/22797254.2020.1752810
work_keys_str_mv AT houmaowang windretrievaloffabryperotinterferometerinthemiddleandupperatmosphereusingwavelengthdepthmethodbasedonsatellitebasedsimulationandgroundbasedmeasurement
AT huanhuanyan windretrievaloffabryperotinterferometerinthemiddleandupperatmosphereusingwavelengthdepthmethodbasedonsatellitebasedsimulationandgroundbasedmeasurement
AT lipingfu windretrievaloffabryperotinterferometerinthemiddleandupperatmosphereusingwavelengthdepthmethodbasedonsatellitebasedsimulationandgroundbasedmeasurement
AT xiaoxinzhang windretrievaloffabryperotinterferometerinthemiddleandupperatmosphereusingwavelengthdepthmethodbasedonsatellitebasedsimulationandgroundbasedmeasurement
AT weiguozong windretrievaloffabryperotinterferometerinthemiddleandupperatmosphereusingwavelengthdepthmethodbasedonsatellitebasedsimulationandgroundbasedmeasurement
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