Combined inversion and statistical workflow for advanced temporal analysis of the Nile River’s long term water level records

Journal of Hydrology(2024)

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摘要
•1. Inversion based Fourier transform introduced for detecting hydrologic cycles.•2. Data gaps filled, and error analyzed using non-evenly sampled data.•3. Improved pattern recognition by robust cluster analysis of water level data.•4. Detection of the Grand Solar Cycle from the Nile River’s historical dataset.
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关键词
Inverse modeling,Fourier transformation,Cluster analysis,Water level,Nile River,Egypt
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