主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2025, Vol. 41 ›› Issue (2): 81-92.doi: 10.3969/j.issn.1673-503X.2025.02.010

• 论文 • 上一篇    

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

赵娜1,2,3,4, 孟宪罗5, 赵玉广1,2,3,4   

  1. 1. 河北省气象与生态环境重点实验室, 河北石家庄 050021;
    2. 中国气象局邢台大气环境野外科学试验基地, 河北邢台 054000;
    3. 中国气象局雄安大气边界层重点开放实验室, 河北雄安新区 071800;
    4. 河北省气象灾害防御和环境气象中心, 河北石家庄 050021;
    5. 河北省气象行政技术服务中心, 河北石家庄 050021
  • 收稿日期:2024-05-06 修回日期:2024-10-12 发布日期:2025-06-20
  • 通讯作者: 孟宪罗,男,高级工程师,E-mail:mengxianluo@qq.com。 E-mail:mengxianluo@qq.com
  • 作者简介:赵娜,女,1983年生,高级工程师,主要从事环境气象监测评估和大气边界层特征研究,E-mail:zhaona2307@126.com。
  • 基金资助:
    河北省气象局科研项目(22ky03)、河北省自然基金项目(D2024304014)和国家重点研发专项(2016YFC0203302)共同资助。

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

ZHAO Na1,2,3,4, MENG Xianluo5, ZHAO Yuguang1,2,3,4   

  1. 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

摘要: 选用2021年10月至2022年9月探空资料,对河北邢台站MWP967KV型、唐山站QFW-6000A型微波辐射计(MWR)的数据质量进行检验评估,分析不同高度层、季节,昼夜交替、有无降水等情况下的MWR温度、湿度数据误差,统计逆温频率和平均逆温强度分布,分析MWR温度廓线数据灵敏度。结果表明:邢台站和唐山站两型MWR温度、湿度数据质量受层高、季节、昼夜等因素的影响程度存在显著差异。无降水时,4~8 km高度温度和1~4 km高度相对湿度数据质量相对较好;有降水时,两型MWR温度、湿度数据质量均较差。两型MWR对轻微温度变化的反应均不灵敏,其温度廓线均无法有效反映较弱逆温,可通过优化反演算法进行修订。

关键词: 逆温频率, 逆温强度, 温度廓线

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

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