2025-02-10
24 分钟The world is changing fast, but you can learn it at a slower pace.
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China's Chang'e 7 lunar probe, scheduled for launch in 2026, will target the moon's south pole to search for water ice and test cutting edge technologies critical for sustainable human activities on the moon.
The mission, using an innovative hopper spacecraft equipped with a water molecule analyzer, aims to confirm the presence and distribution of water ice in permanently shadowed craters.
According to Tang Yu Hua, deputy chief Designer of the Chang'e 7 mission, Chang'e 7's planned landing at the lunar south pole will test the capability of China's lunar probe to reach any region of the moon.
Tang said that if lunar water ice is successfully located, it could significantly reduce the cost and time required to transport water from Earth, facilitating the establishment of a human base for long term activities on the moon and enabling further exploration of Mars or deep space.
According to Wu Wei Ren, the chief designer of China's lunar exploration program, the Chang'e 7 probe, comprising an orbiter, a lander, a rover and a mobile hopper, will face extreme challenges, including temperatures below minus 100 degrees Celsius and complex terrain.
The hopper, a first of its kind lunar explorer, will jump from sunlit areas to shadowed craters to conduct detailed analyses.
The lander will deploy China's inaugural Deep Space Landmark Image navigation system to ensure precision, while the hopper utilizes active shock absorption technology to safely land on slopes.
Tang said that the solar panels installed vertically on the probe are being optimized to capture low angle sunlight near the lunar pole, adding that the mission has entered its final assembly and testing phase.
You're listening to special English Chinese scientists have developed a new artificial intelligence method to forecast the rapid intensification of a tropical cyclone, shedding new light on improving global Cyclops disaster preparedness.
Recently, researchers from the Institute of Oceanology at the Chinese Academy of Sciences published this study in the journal Proceedings of the National Academy of Sciences.
The rapid intensification of of a tropical cyclone, which refers to a dramatic increase in the intensity of a tropical storm over a short period, remains one of the most challenging weather phenomena to forecast because of its unpredictable and destructive nature.
According to the study, traditional forecasting methods such as numerical weather prediction and statistical approaches often fail to consider the complex environmental and structural factors driving rapid intensification.
While AI has been explored to improve rapid intensification prediction, most AI techniques have struggled with high false alarm rates and limited reliability.
To address this issue, the researchers have developed a new AI model that combines satellite atmospheric and oceanic data.
When tested on data from the tropical cyclone periods in the Northwest Pacific between 2020 and 2021, the new method achieved an accuracy of 92.3% and reduced false alarms to 8.9%, according to the study.
The new method improved accuracy by nearly 12% compared to existing techniques and boasted a three times reduction in false alarms, representing a significant advance in forecasting.