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

被引:6
|
作者
Rahmati, Mehdi [1 ,2 ]
Amelung, Wulf [1 ,3 ]
Brogi, Cosimo [1 ]
Dari, Jacopo [4 ,5 ]
Flammini, Alessia [4 ]
Bogena, Heye [1 ]
Brocca, Luca [5 ]
Chen, Hao [1 ,6 ]
Groh, Jannis [1 ,3 ,7 ]
Koster, Randal D. [8 ]
Mccoll, Kaighin A. [9 ,10 ]
Montzka, Carsten [1 ]
Moradi, Shirin [1 ]
Rahi, Arash [1 ,4 ]
Sharghi S., Farnaz [3 ]
Vereecken, Harry [1 ]
机构
[1] Forschungszentrum Julich, Agrosphere Inst IBG 3, Julich, Germany
[2] Univ Maragheh, Dept Soil Sci & Engn, Maragheh, Iran
[3] Univ Bonn, Inst Crop Sci & Resource Conservat INRES Soil Sci, Bonn, Germany
[4] Univ Perugia, Dept Civil & Environm Engn, Perugia, Italy
[5] CNR, Res Inst Geohydrol Protect, Perugia, Italy
[6] Tianjin Normal Univ, Sch Geog & Environm Sci, Tianjin, Peoples R China
[7] ZALF, Isotope Biogeochem & Gasfluxes, Landscape Functioning, Muncheberg, Germany
[8] NASA, Global Modeling & Assimilat Off, Goddard Space Flight Ctr, Greenbelt, MD USA
[9] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA USA
[10] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA USA
关键词
soil moisture memory; land-atmosphere coupling; land surface models; climate change; extreme events; WATER-CONTROLLED ECOSYSTEMS; ATMOSPHERE COUPLING EXPERIMENT; STOCHASTIC CLIMATE MODELS; SEA-SURFACE TEMPERATURE; HYDROLOGIC PROCESSES; ACTIVE-ROLE; AFRICAN MONSOONS; HYDRAULIC LIFT; FLASH DROUGHTS; NORTH-AMERICA;
D O I
10.1029/2023RG000828
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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. Our review paper takes an in-depth look at soil moisture memory, which is how soil records its moisture history over time and space. Analogous to human psychology, which seeks to understand how a person's/society's memory influences his/her present and future behavior, understanding soil moisture memory encourages consideration of how such memory determines present state and might determine future behavior of soils exposed to environmental disturbances. Soil moisture memory can be affected by a variety of factors, both external (e.g., weather extremes) and internal (soil's unique properties). It affects everything from the air to the way our landscapes respond to disasters like droughts, wildfires, and floods. We also studied how this phenomenon affects the balance of water and energy in our environment, the health of our plants, and even how it communicates with the atmosphere. We show how it can change depending on where you are on the planet, the time of year, and how deep you dig into the soil. We offer scientists insights into how weather and land surface models can become more accurate by accounting for soil moisture memory. Its understanding not only helps us predict and manage our environment, but also provides opportunities for exciting scientific discoveries. Atmospheric forcings, land use and management, and soil processes and mechanisms explain how and why soil moisture memory emerges in ecosystems Nonlocality of moisture memory, its spread across different regions, and its interaction with large-scale climate phenomena are underexplored Further advances in land surface models and closer integration of model simulations and observations are needed to better characterize moisture memory
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页数:39
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