  With the onset of climate change and the increasing need for effective
policies, a multilateral approach is needed to make an impact on the growing
threats facing the environment. Through the use of systematic analysis by way
of C-ROADS and En-ROADS, numerous scenarios have been simulated to shed light
on the most imperative policy factors to mitigate climate change. Within
C-ROADS, it was determined that the impacts of the shrinking ice-albedo effect
on global temperatures is significant, however differential sea ice melting
between the poles may not impact human dwellings, as all regions are impacted
by sea ice melt. Flood risks are also becoming more imminent, specifically in
high population density areas. In terms of afforestation, China is the emerging
leader, and if other countries follow suit, this can incur substantial
dividends. Upon conducting a comprehensive analysis of global trends through
En-ROADS, intriguing patterns appear between the length of a policy initiative,
and its effectiveness. Quick policies with gradual increases in taxation proved
successful. Government intervention was also favorable, however an optimized
model is presented, with moderate subsidization of renewable energy. Through
this systematic analysis of assumptions and policy for effective climate change
mitigation efforts, an optimized, economically-favorable solution arises.
