Establishing a periodic SM model with Fourier analysis for enhancing global soil moisture forecasting

Establishing a periodic SM model with Fourier analysis for enhancing global soil moisture forecasting

Abstract Accurately predicting global soil moisture (SM) is crucial for sustainable agriculture and water resource management. Recognizing the challenges posed by the heterogeneity of SM’s spatiotemporal variability, this study proposes a novel approach that leverages Fourier analysis to decompose t...

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Bibliographic Details
Main Authors: Jinlong Zhu, Shengyi Wang, Qingliang Li
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Soil moisture
Fourier analysis
Periodic changes
LSTM
Variable and invariant features
Online Access:https://doi.org/10.1038/s41598-025-97347-y
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https://doi.org/10.1038/s41598-025-97347-y

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