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Scientific ReportsAccurately 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 the periodic fluctuations in SM, revealing underlying trends and
Jinlong Zhu, Shengyi Wang, Qingliang Li
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Atmosphere, 2022 Soil moisture (SM) plays an important role in regulating terrestrial–atmospheric water circulation and energy balance. Most of the existing studies have explored the dynamic patterns of SM based on experimental methods. However, the analysis of large-scale regions and long-term SM sequences was limited. Alternatively, satellite remote sensing data is a
Lei Guo +6 more
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Precipitation Sensitivity to Soil Moisture Changes in Multiple Global Climate Models
Atmosphere, 2023 The ability of soil moisture (SM) to affect precipitation (P) is a vital part of the water-energy cycles. Accurately quantifying this coupling enhances the ability to predict hydroclimatic extremes like floods and droughts.
Xiao Zou +9 more
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zhoylman/soil-moisture-validation: Optimizing Drought Assessment for Soil Moisture Deficits
, 2023 Accurate drought assessments are critical for mitigating the deleterious impacts of water scarcity on communities across the world. In many regions, deficits in soil moisture represent a key driver of drought conditions.
zhoylman
core +1 more source
PINN‐SM: A Physics‐Informed Neural Networks Model for Vadose Zone Soil Moisture Profile Prediction
Journal of Geophysical Research: Machine Learning and ComputationAbstract Accurate prediction and monitoring of soil water content in the vadose zone (VZSWC) is important, yet challenging, for sustainable management of water resources. Although machine learning algorithms have shown promise, given limited and noisy subsurface data, they often struggle with overfitting, poor generalization, and ...
Arya Chavoshi +4 more
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Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements
Environmental Research Letters, 2022 Although the interactions between soil moisture (SM) and vegetation dynamics have been extensively investigated, most of previous findings are derived from satellite-observed and/or model-simulated SM data, which inevitably include multiple sources of ...
Shuping Li, Yohei Sawada
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Remote Sensing, 2022 Soil moisture operational product system (SMOPS) is developed by National Oceanic and Atmospheric Administration (NOAA) to provide the real-time blended soil moisture (SM) for numeric weather prediction and national water model applications. However, all
Jifu Yin +3 more
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, 2021 Compound event research has gained significant momentum over the past few years. Traditionally risk assessment studies considered either one climatic driver or process at a time. However, it is now being recognised that it is the combination of multiple drivers and their statistical dependencies that lead to aggravated, non-linear impacts.
Ashish Manoj J +2 more
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Remote Sensing, 2022 Soil moisture (SM) is critical in monitoring the time-lagged impacts of agrometeorological drought. In Australia and several south-west Pacific Small Island Developing States (SIDS), there are a limited number of in situ SM stations that can adequately ...
Jessica Bhardwaj +5 more
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Global critical soil moisture thresholds of plant water stress
Nature CommunicationsDuring extensive periods without rain, known as dry-downs, decreasing soil moisture (SM) induces plant water stress at the point when it limits evapotranspiration, defining a critical SM threshold (θcrit).
Z. Fu +21 more
semanticscholar +1 more source