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Global Climate Change and Its Impacts

simulating the airflow’s ascending process on windward slopes and descending process on
leeward slopes, thereby enabling more accurate predictions of precipitation distribution
and temperature variations in mountainous regions. For instance, in the Himalayan region,
high-resolution models can clearly demonstrate significant differences in precipitation across
various mountain slopes and local circulation phenomena such as valley winds, providing
robust support for studying this area’s complex climate.
In terms of detail representation, high-resolution climate models can better resolve
meso- and micro-scale weather systems in the atmosphere. Severe convective weather phe-
nomena such as thunderstorms and tornadoes, which typically span spatial scales ranging
from several kilometers to tens of kilometers, are often difficult for low-resolution models
to capture in their developmental processes due to resolution limitations. Leveraging refined
grid configurations, high-resolution models can clearly simulate critical details in severe
convective weather, including the interaction between updrafts and downdrafts, as well as
the formation and evolution of cloud clusters, thereby providing more detailed information
for research on extreme weather events.
In regional climate change studies, high-resolution climate models play an irreplaceable
role. Regional climate is influenced by multiple complex factors including topography, land-
sea distribution, and human activities, exhibiting strong localized characteristics. High-res-
olution modThe high-resolution model can fully consider these localized factors, enabling
more precise simulations of regional climate. Taking the European Alps as an example, this
region features complex topography and diverse climates. Through accurate descriptions of
mountain terrain and simulations of complex atmospheric circulation within the region, the
high-resolution model can reliably predict future trends in climate elements such as tempera-
ture and precipitation. This provides scientific basis for local water resource management,
ecological conservation, and climate change adaptation policymaking.
High-resolution climate models also hold significant importance in simulating extreme
weather events. Extreme weather phenomena such as heavy rainfall, droughts, and hurri-
canes exert tremendous impacts on human society and ecosystems. High-resolution models
can more accurately simulate the frequency, intensity, and spatial distribution of extreme
weather events. When simulating hurricanes, high-resolution models can meticulously de-
pictthe structural characteristics of hurricane eyewallsthe development of spiral rainbands,
and the interaction between hurricanes and terrestrial topography during landfall, thereby
improving the prediction accuracy of hurricane tracks and intensity changes. This provides
more reliable early warning information for disaster prevention and mitigation efforts. In
heavy rainfall simulations, high-resolution models can capture the fine-scale structures and
developmental evolution processes of precipitation cloud clusters. This helps to more ac-
curately predict the spatial distribution and intensity of heavy rainfall events, offering deci-
sion-making support for urban flood prevention and water resource allocation.

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