地球与行星物理（英文）2026，Vol.10Issue(4)：571-582,12.DOI:10.26464/epp2026034
Forecasting of ROTI index in polar regions using BWO-VMD-LSTM hybrid model
Forecasting of ROTI index in polar regions using BWO-VMD-LSTM hybrid model
YeWen Wu 1XiangCai Chen 2Run Shi 3Kang Gong 1JianJun Liu 2ZhiWei Wang 4LiGuo Zhang 5Ming Ou 6Jing Chen 5Lin Ni 1HuiXuan Qiu3
作者信息
- 1. School of Mathematics and Statistics,Nanjing University of Information Science and Technology,Nanjing 210044,China||Center for Applied Mathematics of Jiangsu Province,Nanjing University of Information Science and Technology,Nanjing 210044,China
- 2. Center for Space Physics and Astronomy,Polar Research Institute of China,Shanghai 200136,China||Antarctic Zhongshan National Field Observation and Research Station for Snow and Ice,Space Special Environment and Disasters,Polar Research Institute of China,Shanghai 200136,China
- 3. State Key Laboratory of Marine Geology,School of Ocean and Earth Science,Tongji University,Shanghai 200092,China
- 4. Center for Space Physics and Astronomy,Polar Research Institute of China,Shanghai 200136,China||Antarctic Zhongshan National Field Observation and Research Station for Snow and Ice,Space Special Environment and Disasters,Polar Research Institute of China,Shanghai 200136,China||State Key Laboratory of Marine Geology,School of Ocean and Earth Science,Tongji University,Shanghai 200092,China
- 5. Shanghai Institute of Satellite Engineering,Shanghai 201109,China
- 6. College of Ocean Science and Engineering,Shandong University of Science and Technology,Qingdao Shandong 266590,China
- 折叠
摘要
关键词
ROTI forecasting/polar ionosphere/Long Short-Term Memory/Beluga Whale Optimization/Variational Mode DecompositionKey words
ROTI forecasting/polar ionosphere/Long Short-Term Memory/Beluga Whale Optimization/Variational Mode Decomposition引用本文复制引用
YeWen Wu,XiangCai Chen,Run Shi,Kang Gong,JianJun Liu,ZhiWei Wang,LiGuo Zhang,Ming Ou,Jing Chen,Lin Ni,HuiXuan Qiu..Forecasting of ROTI index in polar regions using BWO-VMD-LSTM hybrid model[J].地球与行星物理（英文）,2026,10(4):571-582,12.基金项目
This work was supported by the National Key R&D Program of China(2022YFC2807205),the National Natural Science Foundation of China(Grants 42374208,42120104003),the Industry-University-Research Cooperation Fund of the 8th Research Institute of China Aerospace Science and Technology Corporation(SAST2023-025),and the Chinese Meridian Project.We also acknowledge the High Performance Computing Center of Nanjing University of Information Science&Technology for their support of this work. （2022YFC2807205）
