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Chapter 8 Climate Change and Future Prospects

ferent scenarios. In practical applications, researchers typically integrate statistical methods
with scenario analysis to comprehensively and accurately process and express uncertainties
in multi-model predictions. This approach provides policymakers with more scientific and
holistic information, enabling full consideration of uncertainty factors in climate policy for-
mulation while enhancing policy adaptability and effectiveness.

Application of Multi-Model Prediction Results in Policy Formulation

Applying multi-model prediction results to climate policy formulation can provide
decision-makers with scientific basis and references, facilitating the development of more
rational and effective climate policies. Climate change issues are characterized by global na-
ture, complexity, and uncertainty, making it difficult to formulate comprehensive and precise
policies relying solely on empirical knowledge or single-model predictions. Multi-model
prediction results integrate simulations of different aspects of climate change from various
models, encompassing rich information that provides multidimensional perspectives for pol-
icymaking.
In establishing emission reduction targets, multi-model prediction results play a critical
role. By analyzing predictions from different models regarding future greenhouse gas
emission scenariosunder different scenarios, globalor regional temperature changes, decision-
makers can understand the variations in emission reductioneffort levelsPossible trends
of climate change. If most models predict that under current emission trends, the global
average temperature will exceed the 2°C warming threshold within the coming decades and
potentially cause severe negative impacts, policymakers can use this information to establish
stricter emission reduction targets, urge nations to intensify mitigation efforts, and adopt
more proactive measures such as improving energy efficiency, developing renewable energy
sources, and enhancing industrial energy conservation and emission reduction. In planning
adaptation strategies, multi-model prediction results also hold significant guiding importance.
Models’ predictions regarding the frequency, intensity, and spatial impact of future extreme
climate events (such as heavy rainfall, droughts, hurricanes, etc.) can help policymakers
identify key climate risks faced by different regions. For areas with significant projected
increases in extreme precipitation events, policymakers can plan enhanced flood control
infrastructure, improve drainage systems, and develop emergency response protocols. For
drought-prone regions, adaptation strategies might include promoting water-saving irrigation
technologies, constructing rainwater harvesting facilities, and adjusting agricultural planting
patterns.
The uncertainty analysis in multi-model prediction results also provides critical ref-
erences for policymaking. When formulating policies, decision-makers need to consider
the uncertainties in future climate change and avoid creating overly rigid policies. By un-
derstanding the uncertainty ranges in multi-model predictions, policymakers can formulate
flexible and adaptive policies that build in room for adjustments, enabling timely modifica-

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