Seasonal drought prediction: Advances, challenges, and future prospects

Z Hao, VP Singh, Y Xia - Reviews of Geophysics, 2018 - Wiley Online Library
Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …

Drought forecasting: A review of modelling approaches 2007–2017

KF Fung, YF Huang, CH Koo… - Journal of Water and …, 2020 - iwaponline.com
Droughts are prolonged precipitation-deficient periods, resulting in inadequate water
availability and adverse repercussions to crops, animals and humans. Drought forecasting is …

Probabilistic hydrological drought index forecasting based on meteorological drought index using Archimedean copulas

M Dehghani, B Saghafian, M Zargar - Hydrology Research, 2019 - iwaponline.com
Hydrological drought forecasting is considered a key component in water resources risk
management. As sustained meteorological drought may lead to hydrological drought over …

[HTML][HTML] Forecasting Meteorological Drought Conditions in South Korea Using a Data-Driven Model with Lagged Global Climate Variability

S Noh, S Lee - Sustainability, 2024 - mdpi.com
Drought prediction is crucial for early risk assessment, preventing negative impacts and the
timely implementation of mitigation measures for sustainable water management. This study …

A novel semi data dimension reduction type weighting scheme of the multi-model ensemble for accurate assessment of twenty-first century drought

A Mukhtar, Z Ali, A Nazeer, S Dhahbi, V Kartal… - … Research and Risk …, 2024 - Springer
Accurately and reliably predicting droughts under multiple models of Global Climate Models
(GCMs) is a challenging task. To address this challenge, the Multimodel Ensemble (MME) …

Assessment of MME methods for seasonal prediction using WMO LC‐LRFMME hindcast dataset

G Kim, JB Ahn, VN Kryjov, WS Lee… - International Journal …, 2021 - Wiley Online Library
Different multi‐model ensemble (MME) methods were investigated for their potential to
improve the skill of 1‐month lead seasonal forecast products, based on six models from …

A Bayesian network‐based probabilistic framework for drought forecasting and outlook

JY Shin, M Ajmal, J Yoo, TW Kim - Advances in Meteorology, 2016 - Wiley Online Library
Reliable drought forecasting is necessary to develop mitigation plans to cope with severe
drought. This study developed a probabilistic scheme for drought forecasting and outlook …

Interannual variations of spring drought-prone conditions over three subregions of East Asia and associated large-scale circulations

CK Park, CH Ho, DSR Park, TW Park, J Kim - Theoretical and Applied …, 2020 - Springer
For proactive prevention of water shortage problems, it is important to understand the
spatiotemporal variabilities of droughts and their development mechanisms. This study …

Stepwise clustering ensemble downscaling for future drought prediction under climate change: A case study of the Yangtze River Basin

J Liu, G Huang, T Song, S Wang, Y Li - Journal of Hydrology, 2024 - Elsevier
Drought is a highly destructive natural disaster that can even lead to other complex and
volatile extreme weather events in the Yangtze River Basin (YRB). Researching potential …

Accurate extended time horizon drought prediction via wavelet-season-fuzzy models

A Altunkaynak, A Çelik - Applied Soft Computing, 2023 - Elsevier
Improved accurate prediction of the Palmer drought severity index (PDSI) is crucial for
sustainable water supply demand, flood mitigation, management of hydraulic structures …