@inproceedings{4b1d1902989e45f09a3d82e8d06ca6ad,
title = "Retrieval algorithm development and product validation for TERRA/MOPITT",
abstract = "Satellite observations of tropospheric carbon monoxide (CO) are employed in diverse applications including air quality studies, chemical weather forecasting and the characterization of CO emissions through inverse modeling. The TERRA / MOPITT ('Measurements of Pollution in the Troposphere') instrument incorporates a set of gas correlation radiometers to observe CO simultaneously in both a thermal-infrared (TIR) band near 4.7 μm and a near-infrared (NIR) band near 2.3 μm. This multispectral capability is unique to MOPITT. The MOPITT retrieval algorithm for vertical profiles of CO has been refined almost continuously since TERRA was launched at the end of 1999. Retrieval algorithm enhancements are the result of ongoing analyses of instrument performance, improved radiative transfer modeling, and systematic comparisons with correlative data, including in-situ profiles measured from aircraft and products from other satellite instruments. In the following, we describe the methods used to routinely evaluate MOPITT CO profiles. As the satellite instrument with the longest record for CO, methods for assessing the long-term stability are becoming increasingly important.",
keywords = "Air quality, Carbon monoxide, Earth observing system, MOPITT, Satellite remote sensing",
author = "Deeter, \{M. N.\} and S. Mart{\'i}nez-Alonso and Worden, \{H. M.\} and Emmons, \{L. K.\} and V. Dean and D. Mao and Edwardsa, \{D. P.\} and Gille, \{J. C.\}",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Earth Observing Systems XIX ; Conference date: 18-08-2014 Through 20-08-2014",
year = "2014",
doi = "10.1117/12.2063107",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xiaoxiong Xiong and Xingfa Gu and Butler, \{James J.\}",
booktitle = "Earth Observing Systems XIX",
address = "United States",
}