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ERA5 PWV Prediction Based on FFT and ConvLSTM
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Yong WANG1, Xiangshun MENG1, Wei DU1, Yanping LIU2, Yubo LIU1
Journal of Geodesy and Geodynamics | 2025, 45(10) : 1033 - 1036
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Journal of Geodesy and Geodynamics | 2025, 45(10): 1033-1036
ERA5 PWV Prediction Based on FFT and ConvLSTM
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Yong WANG1, Xiangshun MENG1, Wei DU1, Yanping LIU2, Yubo LIU1
Affiliations
  • 1 School of Geology and Geomatics, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, China
  • 2 School of Economics and Management, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, China
  • WANG Yong, PhD, professor, majors in GNSS meteorology, E-mail:

About Author:

WANG Yong, PhD, professor, majors in GNSS meteorology, E-mail:

Published: 2025-10-15 doi: 10.14075/j.jgg.2024.11.504
Outline
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This paper utilizes the ERA5 multi-element dataset to predict ERA5 water vapor by integrating the fast Fourier transform(FFT) and convolutional long short-term memory(ConvLSTM) methods. Firstly, the common periods of various meteorological elements are extracted using FFT. Subsequently, multiple meteorological elements with different common periods and individual water vapor data are selected as model inputs, and the ConvLSTM method is employed to train the ERA5 water vapor and construct the prediction model. Finally, the prediction performance of the model for point and spatial water vapor is evaluated using GNSS water vapor and actual ERA5 water vapor. The results indicate that the ERA5 water vapor prediction method based on FFT and ConvLSTM can effectively predict water vapor for the next 120 hours, with high accuracy in both single-point and spatial areas, providing a data foundation for short-term precipitation warnings.

PWV  /  FFT  /  ConvLSTM  /  ERA5  /  GNSS
王勇, 孟祥顺, 杜玮, 刘严萍, 刘宇博. 基于FFT与ConvLSTM的ERA5水汽预测. 大地测量与地球动力学, 2025 , 45 (10) : 1033 -1036 . DOI: 10.14075/j.jgg.2024.11.504
Yong WANG, Xiangshun MENG, Wei DU, Yanping LIU, Yubo LIU. ERA5 PWV Prediction Based on FFT and ConvLSTM[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (10) : 1033 -1036 . DOI: 10.14075/j.jgg.2024.11.504
  • Science and Technology Planning of Tianjin Municipality(21KPHDRC00070)
  • National College Students' Innovation and Entrepreneurship Training Program(202310792005)
Year 2025 volume 45 Issue 10
32
15
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Article Info
doi: 10.14075/j.jgg.2024.11.504
  • Receive Date:2024-11-05
  • Online Date:2026-10-29
  • Published:2025-10-15
Article Data
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History
  • Received:2024-11-05
Funding
Science and Technology Planning of Tianjin Municipality(21KPHDRC00070)
National College Students' Innovation and Entrepreneurship Training Program(202310792005)
Affiliations
    1 School of Geology and Geomatics, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, China
    2 School of Economics and Management, Tianjin Chengjian University, 26 Jinjing Road, Tianjin 300384, 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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