[HTML][HTML] Dynamical systems-inspired machine learning methods for drought prediction

A Watford, CT Bauch, M Anand - Ecological Informatics, 2024 - Elsevier
Drought is a naturally occurring phenomenon that affects millions of people and results in
billions of dollars in damages each year, with impacts expected to worsen due to climate …

Prediction of groundwater drought based on hydro-meteorological insights via machine learning approaches

V Kartal, OM Katipoğlu, E Karakoyun, O Simsek… - … of the Earth, Parts A/B/C, 2024 - Elsevier
This study aims to predict groundwater drought-based meteorological drought index using
machine learning instead of traditional approaches. Groundwater drought (GWD) was …

[HTML][HTML] Current State of Advances in Quantification and Modeling of Hydrological Droughts

TC Sharma, US Panu - Water, 2024 - mdpi.com
Hydrological droughts may be referred to as sustained and regionally extensive water
shortages as reflected in streamflows that are noticeable and gauged worldwide …

[HTML][HTML] Characterizing Drought Prediction with Deep Learning: A Literature Review

A Márquez-Grajales, R Villegas-Vega… - MethodsX, 2024 - Elsevier
Drought prediction is a complex phenomenon that impacts human activities and the
environment. For this reason, predicting its behavior is crucial to mitigating such effects …

Assessment of variability and attribution of drought based on GRACE in China from three perspectives: Water storage component, climate change, water balance

R Wu, C Zhang, Y Li, C Zhu, L Lu, C Cui, Z Zhang… - Remote Sensing, 2023 - mdpi.com
Understanding how drought is impacted by both natural and human influences is crucial to
the sustainable utilization and protection of water resources. We established a drought …

An enhanced drought forecasting in coastal arid regions using deep learning approach with evaporation index

M Al Moteri, F Alrowais, W Mtouaa, NO Aljehane… - Environmental …, 2024 - Elsevier
Coastal arid regions are similar to deserts, where it receives significantly less rainfall, less
than 10 cm. Perhaps the world's worst natural disaster, coastal area droughts, can only be …

Land-atmosphere and ocean–atmosphere couplings dominate the dynamics of agricultural drought predictability in the Loess Plateau, China

J Luo, S Huang, Y Wang, VP Singh, J Liu, Q Huang… - Journal of …, 2024 - Elsevier
Accurate agricultural drought prediction is crucial for preparation for regional agricultural
drought disasters. However, existing prediction models, while making some progress, have …

[HTML][HTML] Vulnerability of water resources to drought risk in southeastern Morocco: case study of ziz basin

S Ben Salem, A Ben Salem, A Karmaoui… - Water, 2023 - mdpi.com
Water resources in Morocco have been severely influenced by climate change and
prolonged drought, particularly in the pre-Saharan zone. The Ziz watershed faces increasing …

[HTML][HTML] A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment

A Batool, V Kartal, Z Ali, M Scholz, F Ali - Agricultural Water Management, 2025 - Elsevier
Drought is a complex recurrent natural phenomenon. It is the main outcome of climate
change. It has long-term impacts on agriculture, human life as well as the environment …

[HTML][HTML] Spatiotemporal Dynamics of Drought in the Huai River Basin (2012–2018): Analyzing Patterns Through Hydrological Simulation and Geospatial Methods

Y You, Y Zhang, Y Lu, Y Hao, Z Tang, H Hou - Remote Sensing, 2025 - mdpi.com
As climate change intensifies, extreme drought events have become more frequent, and
investigating the mechanisms of watershed drought has become highly significant for basin …