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Characteristics of PWV during Typical Heavy Rainfall Events in Qinghai Based on Grourd-Based GNSS Data
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Yang YU1, 2, Rong WAN1, 2, Mingqiong HE3, Zhikang FU1, 2, Hua WANG4, Chong LIU5
Journal of Geodesy and Geodynamics | 2026, 46(5) : 569 - 578
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Journal of Geodesy and Geodynamics | 2026, 46(5): 569-578
Characteristics of PWV during Typical Heavy Rainfall Events in Qinghai Based on Grourd-Based GNSS Data
Full
Yang YU1, 2, Rong WAN1, 2, Mingqiong HE3, Zhikang FU1, 2, Hua WANG4, Chong LIU5
Affiliations
  • 1 Institute of Heavy Rain, China Meteorological Administration, Wuhan 430205, China
  • 2 China Meteorological Administration Basin Heavy Rainfall Key Laboratory, Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Wuhan 430205, China
  • 3 Hubei Meteorological Service Center, Wuhan 430205, China
  • 4 Hubei Meteorological Information and Technology Support Center, Wuhan 430074, China
  • 5 China Meteorological Administration Earth System Modeling and Prediction Centre, Beijing 100081, China
Published: 2026-05-15 doi: 10.14075/j.jgg.2025.06.215
Outline
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An empirical atmospheric weighted average temperature (Tm) model for Qinghai was established based on data from 7 radiosonde stations in Qinghai from 2019 to 2022. This model was then used to retrieve precipitable water vapor (PWV) from 42 GNSS stations in the province for analyzing the spatiotemporal characteristics of water vapor during multiple heavy rainfall processes in August 2022. The results show that: 1) The newly established Tm model has a mean bias of 0.4 K and a root mean square error (RMSE) of 3.41 K, indicating its accuracy is significantly superior to the Bevis model and China-regional models, while being comparable to that of the single-station models. 2) The GNSS PWV retrieved based on the localized Tm model highly agrees with radiosonde results (correlation coefficient of 0.98). 3) Before heavy rainfall occurs, PWV exhibits a rapid increase sustained for several hours, and its 3-hour variation (PWV*) remains positive, whereas before weak rainfall, PWV shows fluctuating changes. 4) Short-term heavy rainfall is likely to occur when the regional PWV value exceeds 34 mm and PWV* is positive; conversely, rainfall intensity is lower.

GNSS meteorology  /  weighted average temperature  /  precipitable water vapor  /  heavy rain in Qinghai
余洋, 万蓉, 何明琼, 付志康, 王华, 刘冲. 基于地基GNSS资料的青海省典型强降水过程水汽特征. 大地测量与地球动力学, 2026 , 46 (5) : 569 -578 . DOI: 10.14075/j.jgg.2025.06.215
Yang YU, Rong WAN, Mingqiong HE, Zhikang FU, Hua WANG, Chong LIU. Characteristics of PWV during Typical Heavy Rainfall Events in Qinghai Based on Grourd-Based GNSS Data[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (5) : 569 -578 . DOI: 10.14075/j.jgg.2025.06.215
Year 2026 volume 46 Issue 5
26
10
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Article Info
doi: 10.14075/j.jgg.2025.06.215
  • Receive Date:2025-06-24
  • Online Date:2026-10-29
  • Published:2026-05-15
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  • Received:2025-06-24
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Affiliations
    1 Institute of Heavy Rain, China Meteorological Administration, Wuhan 430205, China
    2 China Meteorological Administration Basin Heavy Rainfall Key Laboratory, Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Wuhan 430205, China
    3 Hubei Meteorological Service Center, Wuhan 430205, China
    4 Hubei Meteorological Information and Technology Support Center, Wuhan 430074, China
    5 China Meteorological Administration Earth System Modeling and Prediction Centre, Beijing 100081, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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