期刊
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
卷 255, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jqsrt.2020.107217
关键词
Oxygen; Carbon dioxide; Absorption; Atmosphere; CIA; Line-mixing
资金
- U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Environmental Sciences Division, as part of the ARM program [DEFG02-90ER610]
- National Institute of Standards and Technology (NIST) Greenhouse Gas Measurements and Climate Research Program
- Orbiting Carbon Observatory (OCO) projects, National Aeronautics and Space Administration (NASA) Earth System Science Pathfinder (ESSP) missions
The accuracy of atmospheric trace gas retrievals depends directly on the accuracy of the molecular absorption model used within the retrieval algorithm. For remote sensing of well-mixed gases, such as carbon dioxide (CO2), where the atmospheric variability is small compared to the background, the quality of the molecular absorption model is key. Recent updates to oxygen (O-2) absorption coefficients (ABSCO) for the 0.76 mu m A-band and the water vapor (H2O) continuum model within the 1.6 mu m and 2.06 mu m CO2 bands used within the Orbiting Carbon Observatory (OCO-2 and OCO-3) algorithm are described here. Updates in the O-2 A-band involve the inclusion of new laboratory measurements within multispectrum fits to improve relative consistency between O-2 line shapes and collision-induced absorption (CIA). The H2O continuum model has been updated to MT_CKD v3.2, which has benefited from information from a range of laboratory studies relative to the model utilized in the previous ABSCO version. Impacts of these spectroscopy updates have been evaluated against ground-based atmospheric spectra from the Total Carbon Column Observing Network (TCCON) and within the framework of the OCO-2 algorithm, using OCO-2 soundings covering a range of atmospheric and surface conditions. The updated absorption coefficients (ABSCO version 5.1) are found to offer improved fitting residuals and reduced biases in retrieved surface pressure relative to the previous version (ABSCO v5.0) used within B8 and B9 of the OCO-2 retrieval algorithm and have been adopted for the OCO B10 Level 2 algorithm. (C) 2020 The Authors. Published by Elsevier Ltd.
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