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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. / Nanda, Swadhin; Pepijn Veefkind, J.; De Graaf, Martin; Sneep, Maarten; Stammes, Piet; De Haan, Johan F.; Sanders, Abram F.J.; Apituley, Arnoud; Tuinder, Olaf; Levelt, Pieternel F.

In: Atmospheric Measurement Techniques, Vol. 11, No. 6, 07.06.2018, p. 3263-3280.

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Author

Nanda, Swadhin ; Pepijn Veefkind, J. ; De Graaf, Martin ; Sneep, Maarten ; Stammes, Piet ; De Haan, Johan F. ; Sanders, Abram F.J. ; Apituley, Arnoud ; Tuinder, Olaf ; Levelt, Pieternel F. / 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. In: Atmospheric Measurement Techniques. 2018 ; Vol. 11, No. 6. pp. 3263-3280.

BibTeX

@article{15773fece9854548bc6666cc14ecabef,
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",
abstract = "This paper presents a weighted least squares approach to retrieve aerosol layer height from top-of-atmosphere reflectance measurements in the oxygen A band (758-770g 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.",
author = "Swadhin Nanda and {Pepijn Veefkind}, J. and {De Graaf}, Martin and Maarten Sneep and Piet Stammes and {De Haan}, {Johan F.} and Sanders, {Abram F.J.} and Arnoud Apituley and Olaf Tuinder and Levelt, {Pieternel F.}",
year = "2018",
month = "6",
day = "7",
doi = "10.5194/amt-11-3263-2018",
language = "English",
volume = "11",
pages = "3263--3280",
journal = "Atmospheric Measurement Techniques",
issn = "1867-1381",
publisher = "Copernicus",
number = "6",

}

RIS

TY - JOUR

T1 - 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

AU - Nanda, Swadhin

AU - Pepijn Veefkind, J.

AU - De Graaf, Martin

AU - Sneep, Maarten

AU - Stammes, Piet

AU - De Haan, Johan F.

AU - Sanders, Abram F.J.

AU - Apituley, Arnoud

AU - Tuinder, Olaf

AU - Levelt, Pieternel F.

PY - 2018/6/7

Y1 - 2018/6/7

N2 - This paper presents a weighted least squares approach to retrieve aerosol layer height from top-of-atmosphere reflectance measurements in the oxygen A band (758-770g 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.

AB - This paper presents a weighted least squares approach to retrieve aerosol layer height from top-of-atmosphere reflectance measurements in the oxygen A band (758-770g 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.

UR - http://www.scopus.com/inward/record.url?scp=85048317333&partnerID=8YFLogxK

UR - http://resolver.tudelft.nl/uuid:15773fec-e985-4548-bc66-66cc14ecabef

U2 - 10.5194/amt-11-3263-2018

DO - 10.5194/amt-11-3263-2018

M3 - Article

VL - 11

SP - 3263

EP - 3280

JO - Atmospheric Measurement Techniques

T2 - Atmospheric Measurement Techniques

JF - Atmospheric Measurement Techniques

SN - 1867-1381

IS - 6

ER -

ID: 45471061