  We propose a framework to examine future migration patterns of people under
different sea level rise scenarios using models of human migration.
Specifically, we couple a sea level rise model with a data-driven model of
human migration, creating a generalized joint model of climate driven migration
that can be used to simulate population distributions under potential future
sea level rise scenarios. We show how this joint model relaxes assumptions in
existing efforts to model climate driven human migration, and use it to
simulate how migration, driven by sea level rise, differs from baseline
migration patterns. Our results show that the effects of sea level rise are
pervasive, expanding beyond coastal areas via increased migration, and
disproportionately affecting some areas of the United States. The code for
reproducing this study is available at
https://github.com/calebrob6/migration-slr.
