Current location:Stellar Scope news portal > entertainment
Chinese scientists use machine learning for precise Antarctic sea ice prediction
Stellar Scope news portal2024-04-30 07:37:53【entertainment】8People have gathered around
IntroductionChinese scientists made accurate predictions regarding Antarctic sea ice for December 2023 to Februa
Chinese scientists made accurate predictions regarding Antarctic sea ice for December 2023 to February 2024 using deep learning methods.
The research team utilized a Convolutional Long Short-Term Memory (ConvLSTM) neural network to construct a seasonal-scale Antarctic sea ice prediction model.
Their forecast indicated that Antarctic sea ice would remain close to historical lows in February 2024, but there was less indication of it reaching a new record low. The predicted sea ice area (SIA) and sea ice extent (SIE) for February 2024 were 1.441 million square kilometers and 2.105 million square kilometers, respectively, slightly higher than the historic lows observed in 2023.
The team, led by researchers from Sun Yat-sen University and the Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), submitted their prediction results in December. The results were published in the journal Advances in Atmospheric Sciences in early February.
Their prediction was then validated by the latest satellite observations for February. The observed SIA and SIE values for February 2024 are 1.510 million square kilometers and 2.142 million square kilometers, respectively.
According to the researchers, the comparison between the predictions and observations indicates a remarkably close alignment. Furthermore, the sea ice area and extent from December to February fall within one standard deviation of the predicted values, underscoring the reliability of the forecasting system.
The successful comparison between the prediction and observation data validates the accuracy of the ConvLSTM model and its potential for reliable Antarctic sea ice forecasting, said the researchers.
"Our successful prediction not only underscores the significance of strengthening Antarctic sea ice prediction research but also demonstrates the substantial application potential of deep learning methods in this critical area," said Yang Qinghua, a professor of Sun Yat-sen University.
Address of this article:http://belize.popular-vines.com/article-88d299823.html
Very good!(6116)
Related articles
- 2 policemen killed, 1 injured in 'terror' attack in SE Iran
- Perenara equals Super Rugby try
- China's adjustment of COVID
- Polar opposites
- Egyptian, Chinese students mark UN Chinese Language Day in Cairo
- US society wrong to unleash anti
- PLA Day warmly celebrated in Pakistan
- Lisa Blatt nears a record 50 arguments before the Supreme Court
- Chinese military ready to boost ties with Indonesian counterpart: defense spokesperson
- New Penn State coordinators Kotelnicki and Allen encouraged as spirited spring drills wrap up
Popular articles
Recommended
3 dead, 4 missing in explosion at Italy power station
Abortion: Progressive candidates share their stories after Roe's fall
President Xi's Russia visit demonstrates a right path of state
Decreased clout reason for U.S. anger at Beijing
Not just for trolls! Four
Xi inspects Changde in central China's Hunan Province
Nadal drawn against Cobolli at Barcelona Open. Spaniard trying to return from injury
Xinhua Headlines: China's carbon reduction drive creates more green jobs
Links
- Pereira retains light heavyweight title with 1st
- China's Bluetooth headphone market grows in 2023
- China's rural policy bank to increase financial support for rural revitalization
- China's rural policy bank to increase financial support for rural revitalization
- Lok Sabha elections 2024: BJP vows to turn India into manufacturing hub
- Thriving logistics reflect China's economic vitality
- China identifies 15,000 projects to be backed by 1
- Black sailor killed at Pearl Harbor FINALLY identified more than eight decades after 19
- REVEALED: The US cities where home prices have DOUBLED the fastest
- China expands transport network to facilitate high