A multi-model and multi-index evaluation of drought characteristics in the 21st century
Drought is a natural hazard that can have severe and long-lasting impacts on natural and
human systems. Although increases in global greenhouse forcing are expected to change …
human systems. Although increases in global greenhouse forcing are expected to change …
Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index
Meteorological droughts due to the concurrent occurrence of low-precipitation and high-
temperature events can lead to severe negative impacts on agriculture, economy …
temperature events can lead to severe negative impacts on agriculture, economy …
[HTML][HTML] Towards improved drought prediction in the Mediterranean region–modeling approaches and future directions
There is a scientific consensus that the Mediterranean region (MedR) is warming and as the
temperature continues to rise, droughts and heat waves are becoming more frequent …
temperature continues to rise, droughts and heat waves are becoming more frequent …
A Bayesian framework for probabilistic seasonal drought forecasting
Seasonal drought forecasting is presented within a multivariate probabilistic framework. The
standardized streamflow index (SSI) is used to characterize hydrologic droughts with …
standardized streamflow index (SSI) is used to characterize hydrologic droughts with …
Improved B ayesian multimodeling: Integration of copulas and B ayesian model averaging
Bayesian model averaging (BMA) is a popular approach to combine hydrologic forecasts
from individual models and characterize the uncertainty induced by model structure. In the …
from individual models and characterize the uncertainty induced by model structure. In the …
Is southwestern China experiencing more frequent precipitation extremes?
Climate extremes have and will continue to cause severe damages to buildings and natural
environments around the world. A full knowledge of the probability of the climate extremes is …
environments around the world. A full knowledge of the probability of the climate extremes is …
Copula-based multivariate flood probability construction: a review
S Latif, F Mustafa - Arabian Journal of Geosciences, 2020 - Springer
Basin perspective hydrology and hydraulic water-related queries often demanding an
accurate estimation of flood exceedance probabilities or return periods for assessing …
accurate estimation of flood exceedance probabilities or return periods for assessing …
Spatio-temporal analysis and forecasting of drought in the plains of northwestern Algeria using the standardized precipitation index
Drought is the most frequent natural disaster in Algeria during the last century, with a
severity ranging over the territory and causing enormous damages to agriculture and …
severity ranging over the territory and causing enormous damages to agriculture and …
Anatomy of a local-scale drought: Application of assimilated remote sensing products, crop model, and statistical methods to an agricultural drought study
Drought is of global concern for society but it originates as a local problem. It has a
significant impact on water quantity and quality and influences food, water, and energy …
significant impact on water quantity and quality and influences food, water, and energy …
Time‐varying nonstationary multivariate risk analysis using a dynamic Bayesian copula
A time‐varying risk analysis is proposed for an adaptive design framework in nonstationary
conditions arising from climate change. A Bayesian, dynamic conditional copula is …
conditions arising from climate change. A Bayesian, dynamic conditional copula is …