Status and prospects for drought forecasting: Opportunities in artificial intelligence and hybrid physical–statistical forecasting

A AghaKouchak, B Pan… - … of the Royal …, 2022 - royalsocietypublishing.org
Despite major improvements in weather and climate modelling and substantial increases in
remotely sensed observations, drought prediction remains a major challenge. After a review …

Drought forecasting using the Prophet model in a semi-arid climate region of western India

A Basak, ATMS Rahman, J Das… - Hydrological Sciences …, 2022 - Taylor & Francis
Accurate drought forecasting is necessary for early warning of drought hazards, water
resources and eco-environmental management. This study assessed the capability of the …

[HTML][HTML] A new multi-objective genetic programming model for meteorological drought forecasting

M Reihanifar, A Danandeh Mehr, R Tur, AT Ahmed… - Water, 2023 - mdpi.com
Drought forecasting is a vital task for sustainable development and water resource
management. Emerging machine learning techniques could be used to develop precise …

Characterization of hydro-meteorological droughts based on dynamic future scenarios and effective rainfall over Central Malawi

SR Chikabvumbwa, N Salehnia, A Gholami… - Theoretical and Applied …, 2024 - Springer
This study explored the most apparent CMIP6 climate scenario experiments to characterize
hydro-meteorological droughts in Kasungu Agricultural Development Division (ADD). This …

Ability assessment of the stationary and cyclostationary time series models to predict drought indices

AR Zarei, MR Mahmoudi - Water Resources Management, 2020 - Springer
Drought forecasting and monitoring play a significant role in reducing the negative effects of
global meteorological droughts caused by different intensities at different temporal and …

[HTML][HTML] Characterize and analysis of meteorological and hydrological drought trends under future climate change conditions in South Wollo, North Wollo, and Oromia …

GT Alemu, SA Desta, KA Tareke - Heliyon, 2024 - cell.com
This research was conducted on North Wollo, South Wollo, and Oromia special zones, in
Ethiopia. The study aimed to analyze the temporal and spatial variability of meteorological …

Investigating the ability of periodically correlated (PC) time series models to forecast the climate index

AR Zarei, MR Mahmoudi - Stochastic Environmental Research and Risk …, 2020 - Springer
Considering the importance of climate change and its effects, especially in recent decades,
the forecast of future climate conditions can be useful in managing and planning to reduce …

A Comparative Analysis of Machine Learning Algorithms for Agricultural Drought Forecasting

J Vrindavanam, T Babu, H Gandiboina… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The occurrence of drought is a climatic feature and is a phenomenon that happens over
time. Depending on the severity, it can last for a short or long time. Farming households are …

Development of Semantics-Based Distributed Middleware for Heterogeneous Data Integration and its Application for Drought

A Akanbi - arXiv preprint arXiv:2405.10713, 2024 - arxiv.org
Drought is a complex environmental phenomenon that affects millions of people and
communities all over the globe and is too elusive to be accurately predicted. This is mostly …

[PDF][PDF] An approach to extract state information from multivariate time series

J Gui, Z Zheng, Z Qin, D Jia, Y Gao, Z Liu, Q Yao - J. Comput., 2020 - csroc.org.tw
System behaviors could be recorded as multivariate time series by smart sensors. It is
challenging to interpret such high-dimensional dataset with a one-dimensional temporal …