Drought is prevailing in most part of the world
where its severity is increasing in multiple folds. Hence, modelling practices
to understand and predict drought are at their utmost importance. Therefore,
its time to go beyond the state of the art and share ideas so that we tackle
burning research problems with a combined effort.
Hence, we would like to invite scholars
(Professors, post-doctoral researchers, independent researchers, Ph.D. students,
M.Sc.. students, stakeholders, water companies, water managers, etc.) to take
part in the drought session that we organize during the IEMSS conference. We
invite you all to submit your abstract with the following main themes but in a
broader context:
·
Groundwater-surface
water interaction on drought context
·
Uncertainty
on drought index estimations
·
Modelling
work to improve agricultural drought estimation
·
Remote
sensing to estimate and predict drought
·
Combined
effect of weather variables on drought estimations
·
Climate
change and its effect on drought
·
Drought
and sediment dynamics relations at river reaches
·
Nature
Based Solutions as drought adaptation measures
·
Effect
of drought on water quality
·
drought
propagation in hydrological cycle and its socio-economic impact
·
Machine
Learning and its application for drought characterization and predictions
·
Inter
country spatial and temporal correlation of meteorological droughts and their
implication as early warning system
·
Early
warning system in general with socio-economic analysis
·
Drought
and its potential impact on perennial and ephemeral rivers
·
Drought
framework for proper characterization (are there hidden drought characteristics
that we are not aware of - beyond the state of the art), etc.