Paper
18 August 1998 Remote sensing of tropospheric carbon monoxide amd methane from space by MOPITT: validation plan and prelaunch activities
Jinxue Wang, John C. Gille, Paul L. Bailey, James R. Drummond
Author Affiliations +
Proceedings Volume 3501, Optical Remote Sensing of the Atmosphere and Clouds; (1998) https://doi.org/10.1117/12.317765
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
The measurement of pollution in the troposphere (MOPITT) is an eight-channel gas correlation radiometer to be launched on EOS/AM1 spacecraft in 1999. The goal of the experiment is to support studies of the oxidizing capacity of the lower atmosphere on large scales by measuring the global distributions of carbon monoxide (CO) and methane and thus, will represent a significant advancement in the application of space based remote sensing to global tropospheric chemistry research. Validation of data processing algorithms and products is an essential component of the MOPITT project. Strategies and techniques to verify MOPITT measurement precision, accuracy, and resolutions will be described. Correlative measurements for MOPITT algorithm and data validation include measurements will be described. Correlative measurements for MOPITT algorithm and data validation include measurements by airborne remote sensing and in-situ techniques and ground-based spectroscopic techniques. The MOPITT data processing algorithms are being tested and validated using existing airborne and satellite observations before launch. Pre-launch validation campaigns have been conducted to intercompare different correlative measurement techniques and associated data processing algorithms.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinxue Wang, John C. Gille, Paul L. Bailey, and James R. Drummond "Remote sensing of tropospheric carbon monoxide amd methane from space by MOPITT: validation plan and prelaunch activities", Proc. SPIE 3501, Optical Remote Sensing of the Atmosphere and Clouds, (18 August 1998); https://doi.org/10.1117/12.317765
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KEYWORDS
Carbon monoxide

Clouds

Data modeling

Error analysis

Climatology

Data processing

Algorithm development

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