Page 70 - 全球气候变化及其影响Global Climate Change and Its Impacts-185×260

Global Climate Change and Its Impacts

visual representations, researchers can conduct deeper analyses of the relationship between
long-term climate change trends and phased characteristics, thereby providing foundational
support for constructing more accurate climate prediction models.
In the realm of science communication, the role of visualization cannot be overlooked.
Climate change is a complex and abstract scientific issue, making it difficult for the general
public to grasp specialized terminology and intricate data. Visual charts, however, can pres-
ent climate change information to the public in an intuitive and accessible manner. A time
series chart illustrating global temperature rise trends allows the public to quickly grasp the
current state of climate change, while comparative charts highlighting distinct phases of
climate change help people recognize differences in impacts across periods. Through visual-
ization, the public gains a more direct understanding of how climate change connects to their
daily lives, thereby enhancing awareness, deepening comprehension, and stimulating enthu-
siasm for participating in climate change mitigation efforts.

Section 5 Comprehensive Verification and Assessment of
Climate Change Evidence

I. Integration and Verification Methods for Multi-Source Climate Data

In climate change research, a single data source is insufficient to comprehensively cap-
ture the complex characteristics of the climate system. The integration of multi-source cli-
mate data - including meteorological station observations, satellite data, and reanalysis data
- has become an inevitable trend. However, significant differences exist among various data
sources in terms of spatiotemporal resolution, data accuracy, and coverage scope. Achieving
effective integration faces numerous challenges, requiring advanced technical methods and
rigorous quality control measures.
As a traditional method for climate data acquisition, weather station observation data
exhibit high temporal resolution, enabling precise recording of meteorological parameters
(such as temperature, precipitation, wind speed, and air pressure) at specific locations over
time. These data are collected through on-site measurements using specialized instruments at
weather stations distributed globally, ensuring relatively high accuracy. However, the uneven
distribution of weather stations results in sparse coverage in remote areas, mountainous re-
gions, and oceans, creating spatial coverage limitations that hinder comprehensive represen-
tation of regional climate characteristics. Additionally, variations in instrumentation, obser-
vation protocols, and maintenance standards across different weather stations may introduce
measurement errors, affecting data consistency and reliability.
Satellite data compensates for the shortcomings of meteorological station observations
with its extensive spatial coverage, enabling the acquisition of climate information on a
global scale. Satellites carry various advanced sensors that can monitor multiple parameters

• 62 •