Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN

<p>The CNES (French Space Agency) and DLR (German Space Agency) project MERLIN is a future integrated path differential absorption (IPDA) lidar satellite mission that aims at measuring methane dry-air mixing ratio columns (<i>X</i><sub>CH<sub>4</sub></sub>...

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Main Authors: Y. Tellier, C. Pierangelo, M. Wirth, F. Gibert, F. Marnas
Format: Article
Language:English
Published: Copernicus Publications 2018-10-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/11/5865/2018/amt-11-5865-2018.pdf
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spelling doaj-d0641a0f95104f6a9030d6c7e1a306d32020-11-25T00:39:56ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-10-01115865588410.5194/amt-11-5865-2018Averaging bias correction for the future space-borne methane IPDA lidar mission MERLINY. Tellier0C. Pierangelo1M. Wirth2F. Gibert3F. Marnas4Laboratoire de Météorologie Dynamique (LMD/IPSL), CNRS, Ecole Polytechnique, Palaiseau CEDEX, FranceCentre National d'Etudes Spatiales (CNES), Toulouse CEDEX 9, FranceDeutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Weßling, GermanyLaboratoire de Météorologie Dynamique (LMD/IPSL), CNRS, Ecole Polytechnique, Palaiseau CEDEX, FranceCapgemini Technology Services (for CNES), Toulouse, France<p>The CNES (French Space Agency) and DLR (German Space Agency) project MERLIN is a future integrated path differential absorption (IPDA) lidar satellite mission that aims at measuring methane dry-air mixing ratio columns (<i>X</i><sub>CH<sub>4</sub></sub>) in order to improve surface flux estimates of this key greenhouse gas. To reach a 1&thinsp;% relative random error on <i>X</i><sub>CH<sub>4</sub></sub> measurements, MERLIN signal processing performs an averaging of data over 50&thinsp;km along the satellite trajectory. This article discusses how to process this horizontal averaging in order to avoid the bias caused by the non-linearity of the measurement equation and measurements affected by random noise and horizontal geophysical variability. Three averaging schemes are presented: averaging of columns of <i>X</i><sub>CH<sub>4</sub></sub>, averaging of columns of differential absorption optical depth (DAOD) and averaging of signals. The three schemes are affected both by statistical and geophysical biases that are discussed and compared, and correction algorithms are developed for the three schemes. These algorithms are tested and their biases are compared on modelled scenes from real satellite data. To achieve the accuracy requirements that are limited to 0.2&thinsp;% relative systematic error (for a reference value of 1780&thinsp;ppb), we recommend performing the averaging of signals corrected from the statistical bias due to the measurement noise and from the geophysical bias mainly due to variations of methane optical depth and surface reflectivity along the averaging track. The proposed method is compliant with the mission relative systematic error requirements dedicated to averaging algorithms of 0.06&thinsp;% (±1&thinsp;ppb for <i>X</i><sub>CH<sub>4</sub></sub> = 1780 ppb) for all tested scenes and all tested ground reflectivity values.</p>https://www.atmos-meas-tech.net/11/5865/2018/amt-11-5865-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Y. Tellier
C. Pierangelo
M. Wirth
F. Gibert
F. Marnas
spellingShingle Y. Tellier
C. Pierangelo
M. Wirth
F. Gibert
F. Marnas
Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
Atmospheric Measurement Techniques
author_facet Y. Tellier
C. Pierangelo
M. Wirth
F. Gibert
F. Marnas
author_sort Y. Tellier
title Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
title_short Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
title_full Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
title_fullStr Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
title_full_unstemmed Averaging bias correction for the future space-borne methane IPDA lidar mission MERLIN
title_sort averaging bias correction for the future space-borne methane ipda lidar mission merlin
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2018-10-01
description <p>The CNES (French Space Agency) and DLR (German Space Agency) project MERLIN is a future integrated path differential absorption (IPDA) lidar satellite mission that aims at measuring methane dry-air mixing ratio columns (<i>X</i><sub>CH<sub>4</sub></sub>) in order to improve surface flux estimates of this key greenhouse gas. To reach a 1&thinsp;% relative random error on <i>X</i><sub>CH<sub>4</sub></sub> measurements, MERLIN signal processing performs an averaging of data over 50&thinsp;km along the satellite trajectory. This article discusses how to process this horizontal averaging in order to avoid the bias caused by the non-linearity of the measurement equation and measurements affected by random noise and horizontal geophysical variability. Three averaging schemes are presented: averaging of columns of <i>X</i><sub>CH<sub>4</sub></sub>, averaging of columns of differential absorption optical depth (DAOD) and averaging of signals. The three schemes are affected both by statistical and geophysical biases that are discussed and compared, and correction algorithms are developed for the three schemes. These algorithms are tested and their biases are compared on modelled scenes from real satellite data. To achieve the accuracy requirements that are limited to 0.2&thinsp;% relative systematic error (for a reference value of 1780&thinsp;ppb), we recommend performing the averaging of signals corrected from the statistical bias due to the measurement noise and from the geophysical bias mainly due to variations of methane optical depth and surface reflectivity along the averaging track. The proposed method is compliant with the mission relative systematic error requirements dedicated to averaging algorithms of 0.06&thinsp;% (±1&thinsp;ppb for <i>X</i><sub>CH<sub>4</sub></sub> = 1780 ppb) for all tested scenes and all tested ground reflectivity values.</p>
url https://www.atmos-meas-tech.net/11/5865/2018/amt-11-5865-2018.pdf
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