Variational bias correction for Mode-S aircraft derived winds

A variational bias correction (VarBC) technique is proposed within the three-dimensional variational (3D-Var) assimilation system of the Météo-France convective scale model AROME to remove biases present in horizontal wind components derived from aircraft Mode-S data. A set of two predictors derived...

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Autores principales:	Vivien Pourret, Jean-François Mahfouf, Vincent Guidard, Patrick Moll, Alexis Doerenbecher, Bruno Piguet
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	aircraft winds variational bias correction data assimilation mode-s derived data Oceanography GC1-1581 Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/8e6e75e315c54b10b4fbe83984a19622
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spelling	oai:doaj.org-article:8e6e75e315c54b10b4fbe83984a196222021-12-01T14:40:58ZVariational bias correction for Mode-S aircraft derived winds1600-087010.1080/16000870.2021.1886808https://doaj.org/article/8e6e75e315c54b10b4fbe83984a196222021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/16000870.2021.1886808https://doaj.org/toc/1600-0870A variational bias correction (VarBC) technique is proposed within the three-dimensional variational (3D-Var) assimilation system of the Météo-France convective scale model AROME to remove biases present in horizontal wind components derived from aircraft Mode-S data. A set of two predictors derived from the geometry between ground and air speeds has been chosen in order to correct the aircraft speed and heading. Data collected from a set of 8 ADS-B antennas located over France for two periods in 2018 (April and October) have been used to assess the VarBC. Thanks to the availability of anchoring data (radiosoundings, AMDAR aircraft reports), the adaptive bias correction scheme is very efficient for improving the quality of Mode-S derived winds to a level that is similar to those from AMDAR and Mode-S bias corrected by the KNMI. The heading bias correction is the most important one in order to reach background departure values around 2.5 m/s. The behaviour of the VarBC is assessed more precisely for specific aircraft where its capacity to adapt to rapid changes due for example to aircraft maintenance is demonstrated. Moreover, when examining separately predictors for both wind components they appear to converge most of the time towards similar speed and heading corrections. Additional quality controls have allowed to reach background departure values of 2.2 m/s while increasing by a factor of ten the number of aircraft observations to be assimilated in the AROME-France domain.Vivien PourretJean-François MahfoufVincent GuidardPatrick MollAlexis DoerenbecherBruno PiguetTaylor & Francis Grouparticleaircraft windsvariational bias correctiondata assimilationmode-s derived dataOceanographyGC1-1581Meteorology. ClimatologyQC851-999ENTellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-27 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	aircraft winds variational bias correction data assimilation mode-s derived data Oceanography GC1-1581 Meteorology. Climatology QC851-999
spellingShingle	aircraft winds variational bias correction data assimilation mode-s derived data Oceanography GC1-1581 Meteorology. Climatology QC851-999 Vivien Pourret Jean-François Mahfouf Vincent Guidard Patrick Moll Alexis Doerenbecher Bruno Piguet Variational bias correction for Mode-S aircraft derived winds
description	A variational bias correction (VarBC) technique is proposed within the three-dimensional variational (3D-Var) assimilation system of the Météo-France convective scale model AROME to remove biases present in horizontal wind components derived from aircraft Mode-S data. A set of two predictors derived from the geometry between ground and air speeds has been chosen in order to correct the aircraft speed and heading. Data collected from a set of 8 ADS-B antennas located over France for two periods in 2018 (April and October) have been used to assess the VarBC. Thanks to the availability of anchoring data (radiosoundings, AMDAR aircraft reports), the adaptive bias correction scheme is very efficient for improving the quality of Mode-S derived winds to a level that is similar to those from AMDAR and Mode-S bias corrected by the KNMI. The heading bias correction is the most important one in order to reach background departure values around 2.5 m/s. The behaviour of the VarBC is assessed more precisely for specific aircraft where its capacity to adapt to rapid changes due for example to aircraft maintenance is demonstrated. Moreover, when examining separately predictors for both wind components they appear to converge most of the time towards similar speed and heading corrections. Additional quality controls have allowed to reach background departure values of 2.2 m/s while increasing by a factor of ten the number of aircraft observations to be assimilated in the AROME-France domain.
format	article
author	Vivien Pourret Jean-François Mahfouf Vincent Guidard Patrick Moll Alexis Doerenbecher Bruno Piguet
author_facet	Vivien Pourret Jean-François Mahfouf Vincent Guidard Patrick Moll Alexis Doerenbecher Bruno Piguet
author_sort	Vivien Pourret
title	Variational bias correction for Mode-S aircraft derived winds
title_short	Variational bias correction for Mode-S aircraft derived winds
title_full	Variational bias correction for Mode-S aircraft derived winds
title_fullStr	Variational bias correction for Mode-S aircraft derived winds
title_full_unstemmed	Variational bias correction for Mode-S aircraft derived winds
title_sort	variational bias correction for mode-s aircraft derived winds
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/8e6e75e315c54b10b4fbe83984a19622
work_keys_str_mv	AT vivienpourret variationalbiascorrectionformodesaircraftderivedwinds AT jeanfrancoismahfouf variationalbiascorrectionformodesaircraftderivedwinds AT vincentguidard variationalbiascorrectionformodesaircraftderivedwinds AT patrickmoll variationalbiascorrectionformodesaircraftderivedwinds AT alexisdoerenbecher variationalbiascorrectionformodesaircraftderivedwinds AT brunopiguet variationalbiascorrectionformodesaircraftderivedwinds
_version_	1718405005386448896

Variational bias correction for Mode-S aircraft derived winds

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