河北省邢台站和唐山站两型微波辐射计数据质量检验评估

doi:10.3969/j.issn.1673-503X.2025.02.010

Journal of Meteorology and Environment ›› 2025, Vol. 41 ›› Issue (2): 81-92.doi: 10.3969/j.issn.1673-503X.2025.02.010

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Quality assessment of two types of microwave radiometers at Xingtai and Tangshan stations in Hebei province

ZHAO Na^1,2,3,4, MENG Xianluo⁵, ZHAO Yuguang^1,2,3,4

1. Hebei Key Laboratory of Meteorology and Ecological Environment, Shijiazhuang 050021, China;
2. CMA Xingtai Atmospheric Environment Field Scientific Test Bed, Xingtai 054000, China;
3. China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory, Xiong'an New Area 071800, China;
4. Hebei Meteorological Disaster Prevention and Environment Meteorology Center, Shijiazhuang 050021, China;
5. Hebei Provincial Meteorological Administrative & Technical Service Center, Shijiazhuang 050021, China

Received:2024-05-06 Revised:2024-10-12 Published:2025-06-20

Abstract

Abstract: Radiosonde data from October 2021 to September 2022 were used to evaluate the data quality of two types of ground-based microwave radiometers (MWRs),MWP967KV MWR at Xingtai station and QFW-6000A MWR at Tangshan station,in Hebei province.The analysis focused on temperature and humidity retrieval errors at different altitudes,seasons,day-night transitions,and precipitation conditions.The frequency and average intensity of temperature inversions were calculated,and the sensitivity of MWR temperature profile data was analyzed.The results show that the quality of MWR temperature and humidity data is significantly influenced by altitude,season,and diurnal factors,with notable differences between the two instrument types.Under non-precipitation conditions,temperature data quality at 4-8 km and relative humidity data quality at 1-4 km were relatively better; during precipitation,the data quality of both temperature and humidity deteriorated for both instruments.Both MWR types were insensitive to slight temperature changes and their temperature profiles unable to effectively reflect weak temperature inversions,suggesting the need for retrieval algorithm optimization to improve inversion detection performance.

Key words: Temperature inversion frequency, Inversion intensity, Temperature profile

CLC Number:

P407.7

ZHAO Na, MENG Xianluo, ZHAO Yuguang. Quality assessment of two types of microwave radiometers at Xingtai and Tangshan stations in Hebei province[J]. Journal of Meteorology and Environment, 2025, 41(2): 81-92.

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Quality assessment of two types of microwave radiometers at Xingtai and Tangshan stations in Hebei province

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