In order to better understand the spatio-temporal propagation of drought and develop early
warning systems for hydrological droughts under changing climate conditions, it is crucial to …

Droughts and heat waves are currently recognized as two of the most serious threats
associated with climate changes. Drought is characterized by prolonged dry periods, low …

Unlike other natural hazards, drought has severe consequences on numerous aspects of
life. After the industrial revolution, drought is prevailing in most parts of the world. Likewise …

Accurate ensembles of precipitation data play an important role in precise and efficient
drought monitoring systems at the regional level. This article proposes a weighted …

Drought and floods affect the growth and yield of maize, affecting food security. Therefore, it
is crucial to assess maize's drought and waterlogging status in various growth stages. We …

Duration and severity are the two main variables used in drought analysis. The copula
functions are appropriate for multivariate drought analysis, as it lacks the limitations of the …

Inherent biases in numerical simulation models of global climate models (GCMs) reduce the
scope for accurately assessing future droughts under multimodel ensemble. The aim of this …

A data-driven Bayesian Network (BN) model was developed for a large Australian drinking
water treatment plant, whose raw water comes from a river into which a number of upstream …

In this paper, we present a new methodology for improving the results of seasonal drought
forecasting by develo** a Bayesian Maximum Entropy-based fusion (BMEF) model. The …

Drought poses a significant risk to human life, agriculture, energy, ecosystem, wildlife, and
other aspects of the terrestrial system. Climate warming may increase drought hazards …