Soil Moisture Memory: State‐Of‐The‐Art and the Way Forward

Author:

Rahmati Mehdi12ORCID,Amelung Wulf13,Brogi Cosimo1ORCID,Dari Jacopo45ORCID,Flammini Alessia4ORCID,Bogena Heye1ORCID,Brocca Luca5ORCID,Chen Hao16,Groh Jannis137ORCID,Koster Randal D.8ORCID,McColl Kaighin A.910ORCID,Montzka Carsten1ORCID,Moradi Shirin1ORCID,Rahi Arash14ORCID,Sharghi S. Farnaz3ORCID,Vereecken Harry1ORCID

Affiliation:

1. Agrosphere Institute IBG‐3 Forschungszentrum Jülich GmbH Jülich Germany

2. Department of Soil Science and Engineering University of Maragheh Maragheh Iran

3. Institute of Crop Science and Resource Conservation (INRES)‐ Soil Science and Soil Ecology University of Bonn Bonn Germany

4. Department of Civil and Environmental Engineering University of Perugia Perugia Italy

5. Research Institute for Geo‐Hydrological Protection National Research Council Perugia Italy

6. School of Geographic and Environmental Sciences Tianjin Normal University Tianjin China

7. Isotope Biogeochemistry and Gasfluxes Landscape Functioning ZALF Müncheberg Germany

8. Global Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt MD USA

9. Department of Earth and Planetary Sciences Harvard University Cambridge MA USA

10. School of Engineering and Applied Sciences Harvard University Cambridge MA USA

Abstract

AbstractSoil 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.

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Geophysical Union (AGU)

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