Improving simulations of Zeeman absorption spectrum for hyperspectral microwave sounding applications

Abstract. Accurate simulation of microwave oxygen absorption is critical for upper atmospheric remote sensing, yet traditional models suffer from biases due to simplified Zeeman splitting calculations. Two key advancements were presented to address this challenge. First, the 2024 RS-LBL model is updated with the Zeeman coefficients of Larsson et al. (2019), which capture higher-order rotational and anisotropic spin effects, thereby eliminating the 1 K bias in 7⁺ line simulations caused by the Hund’s case (b) approximation. Second, a full vector radiative transfer equation with a complex propagation matrix is implemented to rigorously model polarization under Zeeman splitting, integrated with hybrid Lorentz-Gaussian broadening. Systematic sensitivity experiments quantify the impacts of magnetic field intensity, propagation angle, and frequency shift on polarized brightness temperatures. Leveraging these insights, the Hyperspectral Microwave Atmospheric Sounder (HMAS) is designed: a 60–63 GHz linearly polarized instrument comprising 150 channels, optimized to 39 composite channels for noise reduction. Performance benchmarks against SSMIS UAS channels confirm that HMAS delivers unprecedented vertical resolution with reduced noise, establishing it as an optimal payload concept for next-generation space exploration missions targeting the near space atmosphere.

Authors

Institutions

Publication Details

Journal
Atmospheric measurement techniques
Published
2026-11-02
DOI
https://doi.org/10.5194/amt-19-6939-2026
Primary Topic
Spectroscopy and Laser Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Improving simulations of Zeeman absorption spectrum for hyperspectral microwave sounding applications

Changjiao Dong, Fuzhong Weng, Emma Turner
Atmospheric measurement techniques
Spectroscopy and Laser Applications
article

Improving simulations of Zeeman absorption spectrum for hyperspectral microwave sounding applications

Changjiao Dong, Fuzhong Weng, Emma Turner
article en

Abstract

Abstract. Accurate simulation of microwave oxygen absorption is critical for upper atmospheric remote sensing, yet traditional models suffer from biases due to simplified Zeeman splitting calculations. Two key advancements were presented to address this challenge. First, the 2024 RS-LBL model is updated with the Zeeman coefficients of Larsson et al. (2019), which capture higher-order rotational and anisotropic spin effects, thereby eliminating the 1 K bias in 7⁺ line simulations caused by the Hund’s case (b) approximation. Second, a full vector radiative transfer equation with a complex propagation matrix is implemented to rigorously model polarization under Zeeman splitting, integrated with hybrid Lorentz-Gaussian broadening. Systematic sensitivity experiments quantify the impacts of magnetic field intensity, propagation angle, and frequency shift on polarized brightness temperatures. Leveraging these insights, the Hyperspectral Microwave Atmospheric Sounder (HMAS) is designed: a 60–63 GHz linearly polarized instrument comprising 150 channels, optimized to 39 composite channels for noise reduction. Performance benchmarks against SSMIS UAS channels confirm that HMAS delivers unprecedented vertical resolution with reduced noise, establishing it as an optimal payload concept for next-generation space exploration missions targeting the near space atmosphere.

Atmospheric measurement techniquesVol. 19(21)
China Meteorological Administration (CN), European Centre for Medium-Range Weather Forecasts (GB), Nanjing University of Information Science and Technology (CN), Beijing Meteorological Bureau (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 93%
Spectroscopy and Laser Applications
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.

Laika access coming soon
Improving simulations of Zeeman absorption spectrum for hyperspectral microwave sounding applications — Changjiao Dong, Fuzhong Weng, et al. · Atmospheric measurement techniques (2026) | TGRS Research Map | TGRS