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Estimation of the impact of differences in the CH4 absorption line parameters on the accuracy of methane atmospheric total column retrievals from ground-based FTIR spectra. / Chesnokova, T. Yu; Makarova, M. V.; Chentsov, A. V.; Kostsov, V. S.; Poberovskii, A. V.; Zakharov, V. I.; Rokotyan, N. V.

в: Journal of Quantitative Spectroscopy and Radiative Transfer, Том 254, 107187, 10.2020.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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Author

Chesnokova, T. Yu ; Makarova, M. V. ; Chentsov, A. V. ; Kostsov, V. S. ; Poberovskii, A. V. ; Zakharov, V. I. ; Rokotyan, N. V. / Estimation of the impact of differences in the CH4 absorption line parameters on the accuracy of methane atmospheric total column retrievals from ground-based FTIR spectra. в: Journal of Quantitative Spectroscopy and Radiative Transfer. 2020 ; Том 254.

BibTeX

@article{2445d622bd16493ba5c38d08a1c91030,
title = "Estimation of the impact of differences in the CH4 absorption line parameters on the accuracy of methane atmospheric total column retrievals from ground-based FTIR spectra",
abstract = "The information in spectroscopic databases is routinely updated, therefore it is necessary to evaluate on a regular basis how efficient the improvements in spectroscopic data are with respect to the atmospheric remote sensing problems. One of such problems is the methane total column retrieval from the ground-based FTIR measurements of the direct solar radiation. The CH4 line parameters contained in various modern spectroscopic databases demonstrate some differences. In the present study, the impact of these differences on the atmospheric methane retrievals is estimated. The ground-based FTIR measurements at the St.Petersburg and Kourovka observational stations (Russian Federation) are taken as the basis for the study. The retrieval algorithms conform to the specifications worked out by the IRWG NDACC and TCCON networks. The databases HITRAN2001, HITRAN2008, HITRAN2012, HITRAN2016, GEISA, ATM12, ATM16, ATM19 and the GOSAT2014 line list are used as the input for the forward modeling and for the retrievals of the CH4 total column. Different criteria for quality assessment of fitting of measured and simulated transmittance spectra are considered. It has been shown that the variability of the methane total column values retrieved using absorption line parameters from different spectroscopic databases reaches 1.7%. The obtained results confirmed that for mid-infrared range the current IRWG NDACC recommendation to use HITRAN2001 is still valid: the HITRAN2001 data provide better CH4 retrievals than the newer spectroscopic databases, with the exception of one database (ATM19) yielding slightly different results but comparable to HITRAN2001. The best retrieval results in the near-infrared region are observed when the ATM, HITRAN2008 and GEISA2011 databases are used. The lowest value of RMS corresponded to the calculations which used the ATM19 line list.",
keywords = "Absorption spectra, Atmospheric total column, FTIR ground-based measurements, Methane, Retrieval errors, Spectroscopic line parameters, EDITION",
author = "Chesnokova, {T. Yu} and Makarova, {M. V.} and Chentsov, {A. V.} and Kostsov, {V. S.} and Poberovskii, {A. V.} and Zakharov, {V. I.} and Rokotyan, {N. V.}",
year = "2020",
month = oct,
doi = "10.1016/j.jqsrt.2020.107187",
language = "English",
volume = "254",
journal = "Journal of Quantitative Spectroscopy and Radiative Transfer",
issn = "0022-4073",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Estimation of the impact of differences in the CH4 absorption line parameters on the accuracy of methane atmospheric total column retrievals from ground-based FTIR spectra

AU - Chesnokova, T. Yu

AU - Makarova, M. V.

AU - Chentsov, A. V.

AU - Kostsov, V. S.

AU - Poberovskii, A. V.

AU - Zakharov, V. I.

AU - Rokotyan, N. V.

PY - 2020/10

Y1 - 2020/10

N2 - The information in spectroscopic databases is routinely updated, therefore it is necessary to evaluate on a regular basis how efficient the improvements in spectroscopic data are with respect to the atmospheric remote sensing problems. One of such problems is the methane total column retrieval from the ground-based FTIR measurements of the direct solar radiation. The CH4 line parameters contained in various modern spectroscopic databases demonstrate some differences. In the present study, the impact of these differences on the atmospheric methane retrievals is estimated. The ground-based FTIR measurements at the St.Petersburg and Kourovka observational stations (Russian Federation) are taken as the basis for the study. The retrieval algorithms conform to the specifications worked out by the IRWG NDACC and TCCON networks. The databases HITRAN2001, HITRAN2008, HITRAN2012, HITRAN2016, GEISA, ATM12, ATM16, ATM19 and the GOSAT2014 line list are used as the input for the forward modeling and for the retrievals of the CH4 total column. Different criteria for quality assessment of fitting of measured and simulated transmittance spectra are considered. It has been shown that the variability of the methane total column values retrieved using absorption line parameters from different spectroscopic databases reaches 1.7%. The obtained results confirmed that for mid-infrared range the current IRWG NDACC recommendation to use HITRAN2001 is still valid: the HITRAN2001 data provide better CH4 retrievals than the newer spectroscopic databases, with the exception of one database (ATM19) yielding slightly different results but comparable to HITRAN2001. The best retrieval results in the near-infrared region are observed when the ATM, HITRAN2008 and GEISA2011 databases are used. The lowest value of RMS corresponded to the calculations which used the ATM19 line list.

AB - The information in spectroscopic databases is routinely updated, therefore it is necessary to evaluate on a regular basis how efficient the improvements in spectroscopic data are with respect to the atmospheric remote sensing problems. One of such problems is the methane total column retrieval from the ground-based FTIR measurements of the direct solar radiation. The CH4 line parameters contained in various modern spectroscopic databases demonstrate some differences. In the present study, the impact of these differences on the atmospheric methane retrievals is estimated. The ground-based FTIR measurements at the St.Petersburg and Kourovka observational stations (Russian Federation) are taken as the basis for the study. The retrieval algorithms conform to the specifications worked out by the IRWG NDACC and TCCON networks. The databases HITRAN2001, HITRAN2008, HITRAN2012, HITRAN2016, GEISA, ATM12, ATM16, ATM19 and the GOSAT2014 line list are used as the input for the forward modeling and for the retrievals of the CH4 total column. Different criteria for quality assessment of fitting of measured and simulated transmittance spectra are considered. It has been shown that the variability of the methane total column values retrieved using absorption line parameters from different spectroscopic databases reaches 1.7%. The obtained results confirmed that for mid-infrared range the current IRWG NDACC recommendation to use HITRAN2001 is still valid: the HITRAN2001 data provide better CH4 retrievals than the newer spectroscopic databases, with the exception of one database (ATM19) yielding slightly different results but comparable to HITRAN2001. The best retrieval results in the near-infrared region are observed when the ATM, HITRAN2008 and GEISA2011 databases are used. The lowest value of RMS corresponded to the calculations which used the ATM19 line list.

KW - Absorption spectra

KW - Atmospheric total column

KW - FTIR ground-based measurements

KW - Methane

KW - Retrieval errors

KW - Spectroscopic line parameters

KW - EDITION

UR - http://www.scopus.com/inward/record.url?scp=85087199668&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/3f5beb15-b259-3dc0-bd19-27521101cf35/

U2 - 10.1016/j.jqsrt.2020.107187

DO - 10.1016/j.jqsrt.2020.107187

M3 - Article

AN - SCOPUS:85087199668

VL - 254

JO - Journal of Quantitative Spectroscopy and Radiative Transfer

JF - Journal of Quantitative Spectroscopy and Radiative Transfer

SN - 0022-4073

M1 - 107187

ER -

ID: 61310097