Abstract
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.
Original language | English |
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Article number | e2024GL110579 |
Journal | Geophysical Research Letters |
Volume | 51 |
Issue number | 23 |
DOIs | |
State | Published - Dec 16 2024 |
Funding
This study was supported by the Natural Science Foundation of China (U2342201, U2142201, and 42175086) and the Science and Technology Planning Project of Guangdong Province (2023B1212060019). This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science user facility supported under contract DE-AC05-00OR22725. We also thank Dr. Nils Wedi and ECMWF for providing the XNR1K data collections. We also acknowledge the high-performance computing support from the School of Atmospheric Science of Sun Yat-sen University. Finally, we also thank the editor and anonymous reviewers for their thoughtful suggestions and comments. This study was supported by the Natural Science Foundation of China (U2342201, U2142201, and 42175086) and the Science and Technology Planning Project of Guangdong Province (2023B1212060019). This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science user facility supported under contract DE\u2010AC05\u201000OR22725. We also thank Dr. Nils Wedi and ECMWF for providing the XNR1K data collections. We also acknowledge the high\u2010performance computing support from the School of Atmospheric Science of Sun Yat\u2010sen University. Finally, we also thank the editor and anonymous reviewers for their thoughtful suggestions and comments.
Keywords
- brightness temperature
- geostationary hyperspectral infrared sounder
- slant observation geometry
- temperature and humidity profiles