Page 78 - 全球气候变化及其影响Global Climate Change and Its Impacts-185×260

Global Climate Change and Its Impacts

concept of confidence intervals can be incorporated. For example, presenting the confidence
interval for future global average temperature changes at a 90% confidence level enables
policymakers and the public to more intuitively understand the uncertainty degree of model
prediction results.
In the communication of climate change information, appropriately expressing uncer-
tainty is of significant importance. When researchers publish climate change research find-
ings, they should clearly explain uncertainties in data and model simulations. When describ-
ing future precipitation change trends in a region, it is insufficient to provide only a single
predicted value; uncertainty information such as error ranges or confidence intervals must be
simultaneously presented. For example, the statement “the region is projected to experience
a 10-20% reduction in precipitation over the next 30 years, with a 95% confidence interval
of 5-25% reduction” enables readers to more comprehensively and accurately understand
the reliability and degree of uncertainty in the research findings. For policymakers, under-
standing the uncertainties in climate change evidence helps formulate more resilient and
adaptive policies. When formulating water resource management policies, considering the
uncertainty in precipitation predictions allows for the development of multiple contingency
plans to address different precipitation change scenarios. In science communication, clearly
conveying the uncertainties in climate change evidence to the public can enhance scientific
understanding of climate change issues, preventing unnecessary panic or neglect caused by
misinterpretations of research findings. By using accessible language and intuitive graphics
- such as error bar charts to display data uncertainty ranges and probability distribution plots
to illustrate model simulation uncertainties - the public can better comprehend the inherent
uncertainties in climate change information.
By employing methods such as error ranges, confidence intervals, and ensemble sim-
ulation result analysis to quantify uncertainties in climate change evidence, and accurately
expressing these uncertainties during research publication, policy formulation, and science
communication, we can enhance the quality and credibility of climate change information,
thereby promoting more scientific and effective climate change research and response ac-
tions.

IV. Case Studies on the Verification and Evaluation of Climate Change
Evidence

The study of global temperature changes since the 20th century serves as an exemplary
case that vividly illustrates the complex processes and critical importance of verifying and
evaluating climate change evidence. In this research, scientists utilized diverse data sources
and methodologies, providing abundant and varied materials for verification and evaluation
efforts.
In the data collection phase, the research team integrated long-term observational data
from global meteorological stations, surface temperature data obtained through satellite re-

• 70 •