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[HTML][HTML] Characterizing drought prediction with deep learning: A literature review
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 …
environment. For this reason, predicting its behavior is crucial to mitigating such effects …
Skillful seasonal prediction of the 2022–23 mega soil drought over the Yangtze River basin by combining dynamical climate prediction and copula analysis
Y Wang, X Yuan, Y Liu, W Wang - Environmental Research …, 2024 - iopscience.iop.org
An unprecedented soil moisture drought broke out over the Yangtze River basin (YRB) in
the summer of 2022 and lasted until the spring of 2023, caused great economic losses and …
the summer of 2022 and lasted until the spring of 2023, caused great economic losses and …
Identifying influential climatic factors for urban risk studies in rapidly urbanizing Region
Severe weather events, such as heat waves, floods, pollution, and health threats, are
becoming more common in metropolitan places across the world. Overcrowding, poor …
becoming more common in metropolitan places across the world. Overcrowding, poor …
An enhanced drought forecasting in coastal arid regions using deep learning approach with evaporation index
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 …
than 10 cm. Perhaps the world's worst natural disaster, coastal area droughts, can only be …
Assessing the Impact of Agricultural Drought on Yield over Maize Growing Areas, Free State Province, South Africa, Using the SPI and SPEI
Maize (Zea mays L.) is an essential crop in South Africa serving as a staple food; however,
agricultural drought threatens its production, resulting in lower yields. This study aimed to …
agricultural drought threatens its production, resulting in lower yields. This study aimed to …
Prediction of groundwater drought based on hydro-meteorological insights via machine learning approaches
This study aims to predict groundwater drought-based meteorological drought index using
machine learning instead of traditional approaches. Groundwater drought (GWD) was …
machine learning instead of traditional approaches. Groundwater drought (GWD) was …
[HTML][HTML] Dynamical systems-inspired machine learning methods for drought prediction
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 …
billions of dollars in damages each year, with impacts expected to worsen due to climate …
[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 …
prolonged drought, particularly in the pre-Saharan zone. The Ziz watershed faces increasing …
[HTML][HTML] Assessment of variability and attribution of drought based on GRACE in China from three perspectives: Water storage component, climate change, water …
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 …
the sustainable utilization and protection of water resources. We established a drought …
[HTML][HTML] Evaluating Performances of LSTM, SVM, GPR, and RF for Drought Prediction in Norway: A Wavelet Decomposition Approach on Regional Forecasting
A serious natural disaster that poses a threat to people and their living spaces is drought,
which is difficult to notice at first and can quickly spread to wide areas through subtle …
which is difficult to notice at first and can quickly spread to wide areas through subtle …