  In the current context of climate change, extreme heatwaves, droughts, and
floods are not only impacting the biosphere and atmosphere but the
anthroposphere too. Human populations are forcibly displaced, which are now
referred to as climate-induced migrants. In this work, we investigate which
climate and structural factors forced major human displacements in the presence
of floods and storms during the years 2017-2019. We built, curated, and
harmonized a database of meteorological and remote sensing indicators along
with structural factors of 27 developing countries worldwide. We show how we
can use Gaussian Processes to learn what variables can explain the impact of
floods and storms in the context of forced displacements and to develop models
that reproduce migration flows. Our results at regional, global, and
disaster-specific scales show the importance of structural factors in the
determination of the magnitude of displacements. The study may have both
societal, political, and economical implications.
