[HTML][HTML] ENSO analysis and prediction using deep learning: a review
Abstract El Niño/Southern Oscillation (ENSO) mainly occurs in the tropical Pacific Ocean
every a few years. But it affects the climate around the world and has a dramatic impact on …
every a few years. But it affects the climate around the world and has a dramatic impact on …
Prediction of Yangtze River streamflow based on deep learning neural network with El Niño–Southern Oscillation
S Ha, D Liu, L Mu - Scientific reports, 2021 - nature.com
Accurate long-term streamflow and flood forecasting have always been an important
research direction in hydrology research. Nowadays, climate change, floods, and other …
research direction in hydrology research. Nowadays, climate change, floods, and other …
Demand gap analysis of municipal solid waste landfill in Beijing: Based on the municipal solid waste generation
B Liu, L Zhang, Q Wang - Waste Management, 2021 - Elsevier
Achieving accurate prediction of the Municipal Solid Waste (MSW) generation is essential
for the sustainable development of the city. This paper selects Beijing as the research object …
for the sustainable development of the city. This paper selects Beijing as the research object …
A hybrid neural network model for ENSO prediction in combination with principal oscillation pattern analyses
L Zhou, RH Zhang - Advances in Atmospheric Sciences, 2022 - Springer
Abstract El Niño-Southern Oscillation (ENSO) can be currently predicted reasonably well six
months and longer, but large biases and uncertainties remain in its real-time prediction …
months and longer, but large biases and uncertainties remain in its real-time prediction …
[HTML][HTML] Machine learning methods applied to sea level predictions in the upper part of a tidal estuary
N Guillou, G Chapalain - Oceanologia, 2021 - Elsevier
Sea levels variations in the upper part of estuary are traditionally approached by relying on
refined numerical simulations with high computational cost. As an alternative efficient and …
refined numerical simulations with high computational cost. As an alternative efficient and …
Extreme events in globally coupled chaotic maps
Understanding and predicting uncertain things are the central themes of scientific evolution.
Human beings revolve around these fears of uncertainties concerning various aspects like a …
Human beings revolve around these fears of uncertainties concerning various aspects like a …
Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6
Abstract El Niño-Southern Oscillation (ENSO) has a profound impact on global climate, and
the ability to forecast it effectively over the long term is essential. In recent years, deep …
the ability to forecast it effectively over the long term is essential. In recent years, deep …
CNN‐based ENSO forecasts with a focus on SSTA zonal pattern and physical interpretation
M Sun, L Chen, T Li, JJ Luo - Geophysical Research Letters, 2023 - Wiley Online Library
Deep learning (DL) has achieved notable success in El Niño‐Southern Oscillation (ENSO)
forecasts. Most DL‐based models focused on forecasting ENSO indices while the zonal …
forecasts. Most DL‐based models focused on forecasting ENSO indices while the zonal …
ATDNNS: An adaptive time–frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting
Accurate prediction of anomalous wave heights caused by tropical cyclones (TC) is
extremely significant for coastal safety and offshore operations. Previous studies have barely …
extremely significant for coastal safety and offshore operations. Previous studies have barely …
Comment on Papers using Machine Learning for Significant Wave Height Time Series Prediction: Complex Models Do Not Outperform Auto-regression
H Jiang, Y Zhang, C Qian, X Wang - Ocean Modelling, 2024 - Elsevier
Abstract Significant Wave Height (SWH) is crucial in many aspect of ocean engineering. The
accurate prediction of SWH has therefore been of immense practical value. Recently …
accurate prediction of SWH has therefore been of immense practical value. Recently …