Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system

<p>A data assimilation system for aerosol, based on an ensemble Kalman filter, has been developed for the ECHAM – Hamburg Aerosol Model (ECHAM-HAM) global aerosol model and applied to POLarization and Directionality of the Earth's Reflectances (POLDER)-derived observations of optical prop...

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Main Authors: A. Tsikerdekis, N. A. J. Schutgens, O. P. Hasekamp
Format: Article
Language:English
Published: Copernicus Publications 2021-02-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/2637/2021/acp-21-2637-2021.pdf
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spelling doaj-2cd8f358e9d44aa29189c0ec423db2322021-02-23T07:36:12ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242021-02-01212637267410.5194/acp-21-2637-2021Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation systemA. Tsikerdekis0A. Tsikerdekis1N. A. J. Schutgens2O. P. Hasekamp3SRON Netherlands Institute for Space Research, Utrecht, the NetherlandsDepartment of Earth Science, Vrije Universiteit Amsterdam, Amsterdam, the NetherlandsDepartment of Earth Science, Vrije Universiteit Amsterdam, Amsterdam, the NetherlandsSRON Netherlands Institute for Space Research, Utrecht, the Netherlands<p>A data assimilation system for aerosol, based on an ensemble Kalman filter, has been developed for the ECHAM – Hamburg Aerosol Model (ECHAM-HAM) global aerosol model and applied to POLarization and Directionality of the Earth's Reflectances (POLDER)-derived observations of optical properties. The advantages of this assimilation system is that the ECHAM-HAM aerosol modal scheme carries both aerosol particle numbers and mass which are both used in the data assimilation system as state vectors, while POLDER retrievals in addition to aerosol optical depth (AOD) and the Ångström exponent (AE) also provide information related to aerosol absorption like aerosol absorption optical depth (AAOD) and single scattering albedo (SSA). The developed scheme can simultaneously assimilate combinations of multiple variables (e.g., AOD, AE, SSA) to optimally estimate mass mixing ratio and number mixing ratio of different aerosol species. We investigate the added value of assimilating AE, AAOD and SSA, in addition to the commonly used AOD, by conducting multiple experiments where different combinations of retrieved properties are assimilated. Results are evaluated with (independent) POLDER, Moderate Resolution Imaging Spectroradiometer (MODIS) Dark Target, MODIS Deep Blue and Aerosol Robotic Network (AERONET) observations. The experiment where POLDER AOD, AE and SSA are assimilated shows systematic improvement in mean error, mean absolute error and correlation for AOD, AE, AAOD and SSA compared to the experiment where only AOD is assimilated. The same experiment reduces the global ME against AERONET from 0.072 to 0.001 for AOD, from 0.273 to 0.009 for AE and from <span class="inline-formula">−</span>0.012 to 0.002 for AAOD. Additionally, sensitivity experiments reveal the benefits of assimilating AE over AOD at a second wavelength or SSA over AAOD, possibly due to a simpler observation covariance matrix in the present data assimilation framework. We conclude that the currently available AE and SSA do positively impact data assimilation.</p>https://acp.copernicus.org/articles/21/2637/2021/acp-21-2637-2021.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. Tsikerdekis
A. Tsikerdekis
N. A. J. Schutgens
O. P. Hasekamp
spellingShingle A. Tsikerdekis
A. Tsikerdekis
N. A. J. Schutgens
O. P. Hasekamp
Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system
Atmospheric Chemistry and Physics
author_facet A. Tsikerdekis
A. Tsikerdekis
N. A. J. Schutgens
O. P. Hasekamp
author_sort A. Tsikerdekis
title Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system
title_short Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system
title_full Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system
title_fullStr Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system
title_full_unstemmed Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system
title_sort assimilating aerosol optical properties related to size and absorption from polder/parasol with an ensemble data assimilation system
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2021-02-01
description <p>A data assimilation system for aerosol, based on an ensemble Kalman filter, has been developed for the ECHAM – Hamburg Aerosol Model (ECHAM-HAM) global aerosol model and applied to POLarization and Directionality of the Earth's Reflectances (POLDER)-derived observations of optical properties. The advantages of this assimilation system is that the ECHAM-HAM aerosol modal scheme carries both aerosol particle numbers and mass which are both used in the data assimilation system as state vectors, while POLDER retrievals in addition to aerosol optical depth (AOD) and the Ångström exponent (AE) also provide information related to aerosol absorption like aerosol absorption optical depth (AAOD) and single scattering albedo (SSA). The developed scheme can simultaneously assimilate combinations of multiple variables (e.g., AOD, AE, SSA) to optimally estimate mass mixing ratio and number mixing ratio of different aerosol species. We investigate the added value of assimilating AE, AAOD and SSA, in addition to the commonly used AOD, by conducting multiple experiments where different combinations of retrieved properties are assimilated. Results are evaluated with (independent) POLDER, Moderate Resolution Imaging Spectroradiometer (MODIS) Dark Target, MODIS Deep Blue and Aerosol Robotic Network (AERONET) observations. The experiment where POLDER AOD, AE and SSA are assimilated shows systematic improvement in mean error, mean absolute error and correlation for AOD, AE, AAOD and SSA compared to the experiment where only AOD is assimilated. The same experiment reduces the global ME against AERONET from 0.072 to 0.001 for AOD, from 0.273 to 0.009 for AE and from <span class="inline-formula">−</span>0.012 to 0.002 for AAOD. Additionally, sensitivity experiments reveal the benefits of assimilating AE over AOD at a second wavelength or SSA over AAOD, possibly due to a simpler observation covariance matrix in the present data assimilation framework. We conclude that the currently available AE and SSA do positively impact data assimilation.</p>
url https://acp.copernicus.org/articles/21/2637/2021/acp-21-2637-2021.pdf
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