Drought modeling–A review
In recent years droughts have been occurring frequently, and their impacts are being
aggravated by the rise in water demand and the variability in hydro-meteorological variables …
aggravated by the rise in water demand and the variability in hydro-meteorological variables …
Copula-based Joint Drought Index using SPI and EDDI and its application to climate change
J Won, J Choi, O Lee, S Kim - Science of the Total Environment, 2020 - Elsevier
The drought index, which mainly focuses on the moisture supply side of the atmosphere,
which has been mainly used in the field of drought monitoring, has limitations that cannot …
which has been mainly used in the field of drought monitoring, has limitations that cannot …
Statistical downscaling of GCM simulations to streamflow using relevance vector machine
S Ghosh, PP Mujumdar - Advances in water resources, 2008 - Elsevier
General circulation models (GCMs), the climate models often used in assessing the impact
of climate change, operate on a coarse scale and thus the simulation results obtained from …
of climate change, operate on a coarse scale and thus the simulation results obtained from …
Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections
Climate change is a main driving force that affects the hydrological cycle, leading to an
increase in natural hazards. Among these natural hazards, drought is one of the most …
increase in natural hazards. Among these natural hazards, drought is one of the most …
A multivariate EMD-LSTM model aided with Time Dependent Intrinsic Cross-Correlation for monthly rainfall prediction
Accurate prediction of rainfall is a complex problem because of the large number of
controlling factors, complex interrelationships between them and the multiscaling behaviour …
controlling factors, complex interrelationships between them and the multiscaling behaviour …
Indian summer monsoon rainfall: implications of contrasting trends in the spatial variability of means and extremes
India's agricultural output, economy, and societal well-being are strap**ly dependent on
the stability of summer monsoon rainfall, its variability and extremes. Spatial aggregate of …
the stability of summer monsoon rainfall, its variability and extremes. Spatial aggregate of …
Analysis of drought severity‐area‐frequency curves using a general circulation model and scenario uncertainty
With increasing water scarcity around the world, exacerbated by spatial and temporal
variability of drought incidences along with the uncertainties associated with climate change …
variability of drought incidences along with the uncertainties associated with climate change …
Hydrologic impacts of climate change: Comparisons between hydrological parameter uncertainty and climate model uncertainty
Assessing impacts of climate change on hydrology involves global scale climate projections
by General Circulation Models (GCMs), downscaling of global scale projections to regional …
by General Circulation Models (GCMs), downscaling of global scale projections to regional …
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 …
Standardized precipitation evaporation index (SPEI)-based drought assessment in semi-arid south Texas
The coastal semi-arid region of south Texas is known for its erratic climate that fluctuates
between long periods of drought and extremely wet hurricane-induced storms. The standard …
between long periods of drought and extremely wet hurricane-induced storms. The standard …