Soil Moisture Memory: State‐Of‐The‐Art and the Way Forward Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1029/2023rg000828
Soil moisture is an essential climate variable of the Earth system. Understanding its spatiotemporal dynamics is essential for predicting weather patterns and climate variability, monitoring and mitigating the effects and occurrence of droughts and floods, improving irrigation in agricultural areas, and sustainably managing water resources. Here we review in depth how soils can remember information on soil moisture anomalies over time, as embedded in the concept of soil moisture memory (SMM). We explain the mechanisms underlying SMM and explore its external and internal drivers; we also discuss the impacts of SMM on different land surface processes, focusing on soil‐plant‐atmosphere coupling. We explore the spatiotemporal variability, seasonality, locality, and depth‐dependence of SMM and provide insights into both improving its characterization in land surface models and using satellite observations to quantify it. Finally, we offer guidance for further research on SMM.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2023rg000828
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2023RG000828
- OA Status
- hybrid
- Cited By
- 45
- References
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- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4398206546Canonical identifier for this work in OpenAlex
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https://doi.org/10.1029/2023rg000828Digital Object Identifier
- Title
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Soil Moisture Memory: State‐Of‐The‐Art and the Way ForwardWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-22Full publication date if available
- Authors
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Mehdi Rahmati, Wulf Amelung, Cosimo Brogi, Jacopo Dari, Alessia Flammini, Heye Bogena, Luca Brocca, Hao Chen, Jannis Groh, Randal D. Koster, Kaighin A. McColl, Carsten Montzka, Shirin Moradi, Arash Rahi, Farnaz Sharghi S., Harry VereeckenList of authors in order
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https://doi.org/10.1029/2023rg000828Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2023RG000828Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2023RG000828Direct OA link when available
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State (computer science), Moisture, Environmental science, Earth science, Geology, Astrobiology, Meteorology, Computer science, Geography, Physics, AlgorithmTop concepts (fields/topics) attached by OpenAlex
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45Total citation count in OpenAlex
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2025: 42, 2024: 3Per-year citation counts (last 5 years)
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269Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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