Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument

M. N. Deeter; L. K. Emmons; G. L. Francis; D. P. Edwards; J. C. Gille; J. X. Warner; B. Khattatov; D. Ziskin; J. F. Lamarque; S. P. Ho; V. Yudin; J. L. Attié; D. Packman; J. Chen; D. Mao; James R. Drummond

doi:10.1029/2002jd003186

Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument

M. N. Deeter, L. K. Emmons, G. L. Francis, D. P. Edwards, J. C. Gille, J. X. Warner, B. Khattatov, D. Ziskin, J. F. Lamarque, S. P. Ho, V. Yudin, J. L. Attié, D. Packman, J. Chen, D. Mao, James R. Drummond

Atmospheric Composition Remote Sensing and Prediction

Research output: Contribution to journal › Article › peer-review

343 Scopus citations

Abstract

Measurements of Pollution in the Troposphere (MOPITT) is a new remote sensing instrument aboard the Earth Observing System (EOS) "Terra" satellite which exploits gas correlation radiometry principles to quantify tropospheric concentrations of carbon monoxide (CO) and methane (CH₄). The MOPITT CO retrieval algorithm employs a nonlinear optimal estimation method to iteratively solve for the CO profile which is statistically most consistent with both the satellite-measured radiances and a priori information. The algorithm's theoretical basis is described in terms of the observed radiances and their weighting functions, the a priori information, and the retrieval averaging kernels. Examples of actual CO retrievals over scenes with contrasting pollution conditions are demonstrated, and interpreted in the context of the retrieval averaging kernels and a priori.

Original language	English
Pages (from-to)	ACH 1-1 - ACH 1-11
Journal	Journal of Geophysical Research
Volume	108
Issue number	14
DOIs	https://doi.org/10.1029/2002jd003186
State	Published - 2003

Keywords

Carbon monoxide
Gas correlation radiometry
MOPITT
Pollution
Remote sensing
Retrieval algorithm

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10.1029/2002jd003186

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Deeter, M. N., Emmons, L. K., Francis, G. L., Edwards, D. P., Gille, J. C., Warner, J. X., Khattatov, B., Ziskin, D., Lamarque, J. F., Ho, S. P., Yudin, V., Attié, J. L., Packman, D., Chen, J., Mao, D., & Drummond, J. R. (2003). Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument. Journal of Geophysical Research, 108(14), ACH 1-1 - ACH 1-11. https://doi.org/10.1029/2002jd003186

@article{36a69af2047e498a85ee2c403ba62424,

title = "Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument",

abstract = "Measurements of Pollution in the Troposphere (MOPITT) is a new remote sensing instrument aboard the Earth Observing System (EOS) {"}Terra{"} satellite which exploits gas correlation radiometry principles to quantify tropospheric concentrations of carbon monoxide (CO) and methane (CH4). The MOPITT CO retrieval algorithm employs a nonlinear optimal estimation method to iteratively solve for the CO profile which is statistically most consistent with both the satellite-measured radiances and a priori information. The algorithm's theoretical basis is described in terms of the observed radiances and their weighting functions, the a priori information, and the retrieval averaging kernels. Examples of actual CO retrievals over scenes with contrasting pollution conditions are demonstrated, and interpreted in the context of the retrieval averaging kernels and a priori.",

keywords = "Carbon monoxide, Gas correlation radiometry, MOPITT, Pollution, Remote sensing, Retrieval algorithm",

author = "Deeter, \{M. N.\} and Emmons, \{L. K.\} and Francis, \{G. L.\} and Edwards, \{D. P.\} and Gille, \{J. C.\} and Warner, \{J. X.\} and B. Khattatov and D. Ziskin and Lamarque, \{J. F.\} and Ho, \{S. P.\} and V. Yudin and Atti{\'e}, \{J. L.\} and D. Packman and J. Chen and D. Mao and Drummond, \{James R.\}",

year = "2003",

doi = "10.1029/2002jd003186",

language = "English",

volume = "108",

pages = "ACH 1--1 -- ACH 1--11",

journal = "Journal of Geophysical Research",

issn = "0148-0227",

publisher = "Wiley-Blackwell",

number = "14",

}

Deeter, MN, Emmons, LK , Francis, GL , Edwards, DP, Gille, JC, Warner, JX, Khattatov, B, Ziskin, D, Lamarque, JF, Ho, SP, Yudin, V, Attié, JL, Packman, D, Chen, J, Mao, D & Drummond, JR 2003, 'Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument', Journal of Geophysical Research, vol. 108, no. 14, pp. ACH 1-1 - ACH 1-11. https://doi.org/10.1029/2002jd003186

TY - JOUR

T1 - Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument

AU - Deeter, M. N.

AU - Emmons, L. K.

AU - Francis, G. L.

AU - Edwards, D. P.

AU - Gille, J. C.

AU - Warner, J. X.

AU - Khattatov, B.

AU - Ziskin, D.

AU - Lamarque, J. F.

AU - Ho, S. P.

AU - Yudin, V.

AU - Attié, J. L.

AU - Packman, D.

AU - Chen, J.

AU - Mao, D.

AU - Drummond, James R.

PY - 2003

Y1 - 2003

N2 - Measurements of Pollution in the Troposphere (MOPITT) is a new remote sensing instrument aboard the Earth Observing System (EOS) "Terra" satellite which exploits gas correlation radiometry principles to quantify tropospheric concentrations of carbon monoxide (CO) and methane (CH4). The MOPITT CO retrieval algorithm employs a nonlinear optimal estimation method to iteratively solve for the CO profile which is statistically most consistent with both the satellite-measured radiances and a priori information. The algorithm's theoretical basis is described in terms of the observed radiances and their weighting functions, the a priori information, and the retrieval averaging kernels. Examples of actual CO retrievals over scenes with contrasting pollution conditions are demonstrated, and interpreted in the context of the retrieval averaging kernels and a priori.

AB - Measurements of Pollution in the Troposphere (MOPITT) is a new remote sensing instrument aboard the Earth Observing System (EOS) "Terra" satellite which exploits gas correlation radiometry principles to quantify tropospheric concentrations of carbon monoxide (CO) and methane (CH4). The MOPITT CO retrieval algorithm employs a nonlinear optimal estimation method to iteratively solve for the CO profile which is statistically most consistent with both the satellite-measured radiances and a priori information. The algorithm's theoretical basis is described in terms of the observed radiances and their weighting functions, the a priori information, and the retrieval averaging kernels. Examples of actual CO retrievals over scenes with contrasting pollution conditions are demonstrated, and interpreted in the context of the retrieval averaging kernels and a priori.

KW - Carbon monoxide

KW - Gas correlation radiometry

KW - MOPITT

KW - Pollution

KW - Remote sensing

KW - Retrieval algorithm

UR - https://www.scopus.com/pages/publications/0742270488

U2 - 10.1029/2002jd003186

DO - 10.1029/2002jd003186

M3 - Article

AN - SCOPUS:0742270488

SN - 0148-0227

VL - 108

SP - ACH 1-1 - ACH 1-11

JO - Journal of Geophysical Research

JF - Journal of Geophysical Research

IS - 14

ER -

Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument

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