Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data
<p>Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a widely used measurement technique for the detection of a variety of atmospheric trace gases. Using inverse modelling, the observation of trace gas column densities along different lines of sight enables the retrieval of...
Main Authors: | , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-04-01
|
Series: | Atmospheric Measurement Techniques |
Online Access: | https://www.atmos-meas-tech.net/12/2155/2019/amt-12-2155-2019.pdf |
_version_ | 1818119512845713408 |
---|---|
author | U. Frieß S. Beirle L. Alvarado Bonilla T. Bösch M. M. Friedrich F. Hendrick A. Piters A. Richter M. van Roozendael V. V. Rozanov E. Spinei E. Spinei J.-L. Tirpitz T. Vlemmix T. Wagner Y. Wang |
author_facet | U. Frieß S. Beirle L. Alvarado Bonilla T. Bösch M. M. Friedrich F. Hendrick A. Piters A. Richter M. van Roozendael V. V. Rozanov E. Spinei E. Spinei J.-L. Tirpitz T. Vlemmix T. Wagner Y. Wang |
author_sort | U. Frieß |
collection | DOAJ |
description | <p>Multi-axis differential optical absorption spectroscopy
(MAX-DOAS) is a widely used measurement technique for the detection of a
variety of atmospheric trace gases. Using inverse modelling, the observation
of trace gas column densities along different lines of sight enables the
retrieval of aerosol and trace gas vertical profiles in the atmospheric
boundary layer using appropriate retrieval algorithms. In this study, the
ability of eight profile retrieval algorithms to reconstruct vertical
profiles is assessed on the basis of synthetic measurements. Five of the
algorithms are based on the optimal estimation method, two on parametrised
approaches, and one using an analytical approach without involving any
radiative transfer modelling. The synthetic measurements consist of the
median of simulated slant column densities of <span class="inline-formula">O<sub>4</sub></span> at 360 and
477 <span class="inline-formula">nm</span>, as well as of HCHO at 343 <span class="inline-formula">nm</span> and <span class="inline-formula">NO<sub>2</sub></span> at 477 <span class="inline-formula">nm</span>, from seven datasets simulated by five different radiative transfer
models. Simulations are performed for a combination of 10 trace gas and 11
aerosol profiles, as well as 11 elevation angles, three solar zenith, and
three
relative azimuth angles. Overall, the results from the different algorithms
show moderate to good performance for the retrieval of vertical profiles,
surface concentrations, and total columns. Except for some outliers, the root-mean-square difference between the true and retrieved state ranges between
(0.05–0.1) km<span class="inline-formula"><sup>−1</sup></span> for aerosol extinction and (2.5–5.0) <span class="inline-formula">×10<sup>10</sup></span> molec cm<span class="inline-formula"><sup>−3</sup></span> for HCHO and <span class="inline-formula">NO<sub>2</sub></span> concentrations.</p> |
first_indexed | 2024-12-11T05:11:23Z |
format | Article |
id | doaj.art-c176db993fd04ef693d62fe126b5892a |
institution | Directory Open Access Journal |
issn | 1867-1381 1867-8548 |
language | English |
last_indexed | 2024-12-11T05:11:23Z |
publishDate | 2019-04-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Atmospheric Measurement Techniques |
spelling | doaj.art-c176db993fd04ef693d62fe126b5892a2022-12-22T01:19:56ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-04-01122155218110.5194/amt-12-2155-2019Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic dataU. Frieß0S. Beirle1L. Alvarado Bonilla2T. Bösch3M. M. Friedrich4F. Hendrick5A. Piters6A. Richter7M. van Roozendael8V. V. Rozanov9E. Spinei10E. Spinei11J.-L. Tirpitz12T. Vlemmix13T. Wagner14Y. Wang15Institute of Environmental Physics, University of Heidelberg, Heidelberg, GermanyMax Planck Institute for Chemistry, Mainz, GermanyInstitute of Environmental Physics, University of Bremen, Bremen, GermanyInstitute of Environmental Physics, University of Bremen, Bremen, GermanyRoyal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, BelgiumRoyal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, BelgiumRoyal Netherlands Meteorological Institute (KNMI), De Bilt, the NetherlandsInstitute of Environmental Physics, University of Bremen, Bremen, GermanyRoyal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, BelgiumInstitute of Environmental Physics, University of Bremen, Bremen, GermanyNASA-Goddard, Greenbelt, Maryland, USAnow at: Virginia Tech, Blacksburg, Virginia, USAInstitute of Environmental Physics, University of Heidelberg, Heidelberg, GermanyRoyal Netherlands Meteorological Institute (KNMI), De Bilt, the NetherlandsMax Planck Institute for Chemistry, Mainz, GermanyMax Planck Institute for Chemistry, Mainz, Germany<p>Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a widely used measurement technique for the detection of a variety of atmospheric trace gases. Using inverse modelling, the observation of trace gas column densities along different lines of sight enables the retrieval of aerosol and trace gas vertical profiles in the atmospheric boundary layer using appropriate retrieval algorithms. In this study, the ability of eight profile retrieval algorithms to reconstruct vertical profiles is assessed on the basis of synthetic measurements. Five of the algorithms are based on the optimal estimation method, two on parametrised approaches, and one using an analytical approach without involving any radiative transfer modelling. The synthetic measurements consist of the median of simulated slant column densities of <span class="inline-formula">O<sub>4</sub></span> at 360 and 477 <span class="inline-formula">nm</span>, as well as of HCHO at 343 <span class="inline-formula">nm</span> and <span class="inline-formula">NO<sub>2</sub></span> at 477 <span class="inline-formula">nm</span>, from seven datasets simulated by five different radiative transfer models. Simulations are performed for a combination of 10 trace gas and 11 aerosol profiles, as well as 11 elevation angles, three solar zenith, and three relative azimuth angles. Overall, the results from the different algorithms show moderate to good performance for the retrieval of vertical profiles, surface concentrations, and total columns. Except for some outliers, the root-mean-square difference between the true and retrieved state ranges between (0.05–0.1) km<span class="inline-formula"><sup>−1</sup></span> for aerosol extinction and (2.5–5.0) <span class="inline-formula">×10<sup>10</sup></span> molec cm<span class="inline-formula"><sup>−3</sup></span> for HCHO and <span class="inline-formula">NO<sub>2</sub></span> concentrations.</p>https://www.atmos-meas-tech.net/12/2155/2019/amt-12-2155-2019.pdf |
spellingShingle | U. Frieß S. Beirle L. Alvarado Bonilla T. Bösch M. M. Friedrich F. Hendrick A. Piters A. Richter M. van Roozendael V. V. Rozanov E. Spinei E. Spinei J.-L. Tirpitz T. Vlemmix T. Wagner Y. Wang Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data Atmospheric Measurement Techniques |
title | Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data |
title_full | Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data |
title_fullStr | Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data |
title_full_unstemmed | Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data |
title_short | Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data |
title_sort | intercomparison of max doas vertical profile retrieval algorithms studies using synthetic data |
url | https://www.atmos-meas-tech.net/12/2155/2019/amt-12-2155-2019.pdf |
work_keys_str_mv | AT ufrieß intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT sbeirle intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT lalvaradobonilla intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT tbosch intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT mmfriedrich intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT fhendrick intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT apiters intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT arichter intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT mvanroozendael intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT vvrozanov intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT espinei intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT espinei intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT jltirpitz intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT tvlemmix intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT twagner intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata AT ywang intercomparisonofmaxdoasverticalprofileretrievalalgorithmsstudiesusingsyntheticdata |