Influence of Atmospheric Slant Path on Geostationary Hyperspectral Infrared Sounder Radiance Simulations

Journal Article · 28 November 2024 · Geophysical Research Letters

DOI: https://doi.org/10.1029/2024gl110579 · OSTI ID:2481004

Huang, Pengyun ^[1]; Li, Jun  ^[2]; Min, Min ^[1]; Li, Zhenglong  ^[3]; Di, Di  ^[4]; Anantharaj, Valentine  ^[5]; Ahn, Myoung‐Hwan  ^[6]

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1. Sun Yat-Sen Univ., Guangzhou (China); Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai (China)
2. National Satellite Meteorological Center, Beijing (China); China Meteorological Administration, Beijing (China)
3. Univ. of Wisconsin, Madison, WI (United States)
4. Nanjing University of Information Science and Technology (China)
5. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
6. Ewha Womans University, Seoul (Korea, Republic of)

Accurately simulating a geostationary hyperspectral infrared sounder is critical for quantitative applications. Traditional radiation simulations of such instruments often overlook the influence of slant observation geometry by using vertical profile assumption, leading to inadequate simulation accuracy. By using global atmospheric profiles with 1 km spatial resolution, the slant-path effects on brightness temperature simulations are quantified. Experiments indicate that the slant geometry has less impact on longwave brightness temperature simulations and has a substantial impact on middle-wave brightness temperature simulations. It may introduce 0.5 K (or more) uncertainty to brightness temperatures of water vapor absorption channels when the satellite zenith angle is greater than 45°. Considering the slant profile is recommended for quantitative applications of geostationary hyperspectral sounder data, such as sounding retrieval and data assimilation.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
• Sponsoring Organization: National Natural Science Foundation of China (NSFC); USDOE; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• Grant/Contract Number: AC05-00OR22725
• OSTI ID: 2481004
• Journal Information: Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 23 Vol. 51; ISSN 0094-8276
• Publisher: American Geophysical Union (AGU)Copyright Statement
• Country of Publication: United States
• Language: English