Long-term dataset enhances atmospheric profile retrieval accuracy in Xianghe, indicating valuable insights for climate and air quality studies.
Key Points
This study aims to present a long-term dataset of brightness temperature and atmospheric profiles from ground-based microwave radiometers in Xianghe, China.
Integrated minute-level brightness temperature observations from 2013 to 2022 using RPG-HATPRO MWR.
Developed retrieval models for temperature and humidity profiles using collocated radiosonde and ERA5 reanalysis data.
Validated retrieval accuracy against radiosonde measurements.
Correlation coefficients between simulated and observed brightness temperatures typically exceed 0.96.
Retrieval schemes improved accuracy by up to 35% for temperature and 25% for humidity profiles compared to the manufacturer's method.
Observed frequency of surface-based inversions increased from 6% in summer to 68% in winter, with >60% of severe PM2.5 pollution events ≥250 µg m−3.