Abstract
The theoretically calculated radiance plays a crucial role in numerical weather prediction models. Therefore, improving the accuracy of radiative transfer models is essential for precise radiance calculations. This study aims to enhance the accuracy of radiative transfer models by utilizing atmospheric profiles along the satellite-observed slant path rather than the vertical path. This approach is expected to improve the retrieval of temperature and humidity profiles, which are critical for accurate weather predictions. Previous research has shown that slant-path simulations significantly impact regions with high atmospheric variability and large viewing angles, improving RMSD in temperature and wind forecasts by 2-3% in the stratosphere and high latitudes9 This study extends these evaluations to all-sky conditions, considering the parallax effect of clouds for more accurate radiance calculations (B). The findings are expected to enhance weather prediction models by incorporating slant-path radiative transfer simulations.
Original language | English |
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Title of host publication | Remote Sensing of the Atmosphere, Clouds, and Precipitation VIII |
Editors | Eastwood Im, Song Yang, Cheng-Yung Huang |
Publisher | SPIE |
ISBN (Electronic) | 9781510682665 |
DOIs | |
State | Published - 2025 |
Event | Remote Sensing of the Atmosphere, Clouds, and Precipitation VIII 2024 - Kaohsiung, Taiwan, Province of China Duration: 3 Dec 2024 → 5 Dec 2024 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 13262 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Remote Sensing of the Atmosphere, Clouds, and Precipitation VIII 2024 |
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Country/Territory | Taiwan, Province of China |
City | Kaohsiung |
Period | 3/12/24 → 5/12/24 |
Bibliographical note
Publisher Copyright:© 2025 SPIE.
Keywords
- Radiative Transfer Model
- Retrieval
- Slant-Path