Short- and Mid-Term Forecasting of Pan-Arctic Sea Ice Volume Using Variational Mode Decomposition and Bidirectional Long Short-Term Memory
The well-documented decrease in the annual minimum Arctic sea ice extent over the past few decades is an alarming indicator of current climate change. However, much less is known about the thickness of the Arctic sea ice. Developing accurate forecasting models is critical to better predict its chang...
Autores principales: | Aymane Ahajjam, Jaakko Putkonen, Timothy J. Pasch, Xun Zhu |
---|---|
Formato: | Artículo |
Lenguaje: | English |
Publicado: |
MDPI AG
2023-11-01
|
Colección: | Geosciences |
Materias: | |
Acceso en línea: | https://www.mdpi.com/2076-3263/13/12/370 |
Ejemplares similares
-
Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning
por: Aymane Ahajjam, et al.
Publicado: (2024-01-01) -
Construction and Research of Ultra-Short Term Prediction Model of Solar Short Wave Irradiance Suitable for Qinghai–Tibet Plateau
por: Huimei Meng, et al.
Publicado: (2023-07-01) -
Short-Term and Long-Term COVID-19 Pandemic Forecasting Revisited with the Emergence of OMICRON Variant in Jordan
por: Tareq Hussein, et al.
Publicado: (2022-04-01) -
Short-Term Probabilistic Forecasting Method for Wind Speed Combining Long Short-Term Memory and Gaussian Mixture Model
por: Xuhui He, et al.
Publicado: (2023-04-01) -
Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid
por: Sneha Rai, et al.
Publicado: (2021-10-01)