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

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.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2024-11-29
DOI
https://doi.org/10.1029/2024gl110579
Citations
3
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
1.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Di Di, Myoung‐Hwan Ahn, Valentine Anantharaj, Zhenglong Li et al.
3 citations
Geophysical Research Letters
Meteorological Phenomena and Simulations
1.13
article

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

Di Di, Myoung‐Hwan Ahn, Valentine Anantharaj, Zhenglong Li, Min Min, Pinbo Huang, Jun Li
article en
3 citations

Abstract

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.

Geophysical Research LettersVol. 51(23)
Oak Ridge National Laboratory (US), University of Wisconsin–Madison (US), Ewha Womans University (KR), China Meteorological Administration (CN), Sun Yat-sen University (CN), Nanjing University of Information Science and Technology (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Cooperative Institute for Climate and Satellites (US), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
U.S. Department of Energy, National Natural Science Foundation of China, Sun Yat-sen University, Office of Science, Science and Technology Planning Project of Guangdong Province
Openalex Percentile: Top 23%
Meteorological Phenomena and Simulations
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.