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Global Climate Change and Its Impacts


               the “Sentinel” satellite series by the European Space Agency (ESA) are equipped with mul-
               tispectral imagers to capture surface temperature data. Additionally,polar-orbiting satellites
               (such as NOAA’s POES series) and geostationary satellites (such as the GOES series) are
               used for continuous atmospheric temperature profile monitoring, enabling scientists to track
               global average temperature trends and identify regional heat island effects and other local-
               ized climatic features.

                   II. Precipitation Pattern Analysis

                   Satellite observations are crucial for understanding global precipitation patterns. The
               Tropical Rainfall Measuring Mission (TRMM) and its successorGlobalPrecipitation Mea-
               surement (GPM) constellation utilize multiple types of sensors (such as radar, microwave
               radiometers) to estimate precipitation. These satellites have not only enhanced understanding
               of precipitation events in tropical regions but also improved prediction capabilities for ex-
               treme weather phenomena (e.g., hurricanes, torrential rains). Through long-term accumulat-
               ed datasets, researchers can assess changes in the global water cycle and identify trends of
               increasing drought and flood disaster frequencies.

                   III. Cloud Cover and Cloud Properties

                   Clouds play a crucial role in regulating Earth’s energy balance, both reflecting solar
               radiation to create cooling effects and absorbing longwave radiation that causes warming.
               Satellite remote sensing provides valuable data for studying cloud physical properties and
               their climatic impacts. Instruments like MODIS (Moderate-Resolution Imaging Spectrora-
               diometer) onboard multiple satellite platforms deliver daily global cloud cover images and
               detailed cloud parameters such as cloud top height, optical thickness, and particle size. By
               integrating these with other observational data, scientists can better simulate cloud feedback
               mechanisms and improve the accuracy of climate model predictions.
                   (4) Sea Ice Cover Monitoring
                   The sea ice coverage in the Arctic and Antarctic regions shows significant seasonal
               variations and has exhibited a marked decreasing trend in recent years. Satellite observations
               prove particularly crucial in such dynamic environments. Specialized ice-monitoring satel-
               lites like ICESat-2 and CryoSat-2 employ laser altimeters and radar altimeters to precisely
               measure ice surface elevation, thereby calculating sea ice thickness. Additionally, synthetic
               aperture radar (SAR) technology enables the acquisition of high-quality sea ice distribution
               maps even under nighttime or cloud-covered conditions. These data help assess the health of
               polar ecosystems and support risk evaluations for sea-level rise under global warming.
                   Vegetation Dynamic Monitoring
                   Vegetation growth status reflects the direct impact of climate change on terrestrial eco-
               systems. By monitoring the Normalized Difference Vegetation Index (NDVI) and Enhanced
               Vegetation Index (EVI), satellites can track changes in vegetation greenness worldwide.



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