A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe
This paper presents a weighted least squares approach to retrieve aerosol layer height from top-of-atmosphere reflectance measurements in the oxygen A band (758–770 nm) over bright surfaces. A property of the measurement error covariance matrix is discussed, due to which photons travelling from...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-06-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://www.atmos-meas-tech.net/11/3263/2018/amt-11-3263-2018.pdf |
| _version_ | 1830134101808513024 |
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| author | S. Nanda S. Nanda J. P. Veefkind J. P. Veefkind M. de Graaf M. Sneep P. Stammes J. F. de Haan A. F. J. Sanders A. Apituley O. Tuinder P. F. Levelt P. F. Levelt |
| author_facet | S. Nanda S. Nanda J. P. Veefkind J. P. Veefkind M. de Graaf M. Sneep P. Stammes J. F. de Haan A. F. J. Sanders A. Apituley O. Tuinder P. F. Levelt P. F. Levelt |
| author_sort | S. Nanda |
| collection | DOAJ |
| description | This paper presents a weighted least squares approach to retrieve
aerosol layer height from top-of-atmosphere reflectance measurements
in the oxygen A band (758–770 nm) over bright
surfaces. A property of the measurement error covariance matrix is
discussed, due to which photons travelling from the surface are given
a higher preference over photons that scatter back from the aerosol
layer. This is a potential source of biases in the estimation of
aerosol properties over land, which can be mitigated by revisiting
the design of the measurement error covariance matrix. The
alternative proposed in this paper, which we call the dynamic
scaling method, introduces a scene-dependent and
wavelength-dependent modification in the measurement signal-to-noise
ratio in order to influence this matrix. This method is generally
applicable to other retrieval algorithms using weighted least
squares. To test this method, synthetic experiments are done in
addition to application to GOME-2A and GOME-2B measurements of the
oxygen A band over the August 2010 Russian wildfires and the
October 2017 Portugal wildfire plume over western Europe. |
| first_indexed | 2024-12-17T07:06:50Z |
| format | Article |
| id | doaj.art-72337d6c440d404da4ac62ef91b2342b |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-12-17T07:06:50Z |
| publishDate | 2018-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-72337d6c440d404da4ac62ef91b2342b2022-12-21T21:59:08ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-06-01113263328010.5194/amt-11-3263-2018A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over EuropeS. Nanda0S. Nanda1J. P. Veefkind2J. P. Veefkind3M. de Graaf4M. Sneep5P. Stammes6J. F. de Haan7A. F. J. Sanders8A. Apituley9O. Tuinder10P. F. Levelt11P. F. Levelt12Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsDelft University of Technology (TU Delft), Mekelweg 2, 2628 CD Delft, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsDelft University of Technology (TU Delft), Mekelweg 2, 2628 CD Delft, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsUniversity of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28359 Bremen, GermanyRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsRoyal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the NetherlandsDelft University of Technology (TU Delft), Mekelweg 2, 2628 CD Delft, the NetherlandsThis paper presents a weighted least squares approach to retrieve aerosol layer height from top-of-atmosphere reflectance measurements in the oxygen A band (758–770 nm) over bright surfaces. A property of the measurement error covariance matrix is discussed, due to which photons travelling from the surface are given a higher preference over photons that scatter back from the aerosol layer. This is a potential source of biases in the estimation of aerosol properties over land, which can be mitigated by revisiting the design of the measurement error covariance matrix. The alternative proposed in this paper, which we call the dynamic scaling method, introduces a scene-dependent and wavelength-dependent modification in the measurement signal-to-noise ratio in order to influence this matrix. This method is generally applicable to other retrieval algorithms using weighted least squares. To test this method, synthetic experiments are done in addition to application to GOME-2A and GOME-2B measurements of the oxygen A band over the August 2010 Russian wildfires and the October 2017 Portugal wildfire plume over western Europe.https://www.atmos-meas-tech.net/11/3263/2018/amt-11-3263-2018.pdf |
| spellingShingle | S. Nanda S. Nanda J. P. Veefkind J. P. Veefkind M. de Graaf M. Sneep P. Stammes J. F. de Haan A. F. J. Sanders A. Apituley O. Tuinder P. F. Levelt P. F. Levelt A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe Atmospheric Measurement Techniques |
| title | A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe |
| title_full | A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe |
| title_fullStr | A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe |
| title_full_unstemmed | A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe |
| title_short | A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe |
| title_sort | weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to gome 2 measurements of the oxygen a band for forest fire cases over europe |
| url | https://www.atmos-meas-tech.net/11/3263/2018/amt-11-3263-2018.pdf |
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