[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 …
Temporal convolutional networks for the advance prediction of ENSO
Abstract El Niño-Southern Oscillation (ENSO), which is one of the main drivers of Earth's
inter-annual climate variability, often causes a wide range of climate anomalies, and the …
inter-annual climate variability, often causes a wide range of climate anomalies, and the …
Systematic Literature Review of Various Neural Network Techniques for Sea Surface Temperature Prediction Using Remote Sensing Data
The popularity of using various neural network models and deep learning-based models to
predict environmental temperament is increasing due to their ability to comprehend and …
predict environmental temperament is increasing due to their ability to comprehend and …
Single layer & multi-layer long short-term memory (LSTM) model with intermediate variables for weather forecasting
Weather forecasting has gained attention many researchers from various research
communities due to its effect to the global human life. The emerging deep learning …
communities due to its effect to the global human life. The emerging deep learning …
ClimateBench v1. 0: A benchmark for data‐driven climate projections
D Watson‐Parris, Y Rao, D Olivié… - Journal of Advances …, 2022 - Wiley Online Library
Many different emission pathways exist that are compatible with the Paris climate
agreement, and many more are possible that miss that target. While some of the most …
agreement, and many more are possible that miss that target. While some of the most …
[HTML][HTML] Unified deep learning model for El Niño/Southern Oscillation forecasts by incorporating seasonality in climate data
Although deep learning has achieved a milestone in forecasting the El Niño-Southern
Oscillation (ENSO), the current models are insufficient to simulate diverse characteristics of …
Oscillation (ENSO), the current models are insufficient to simulate diverse characteristics of …
ILF-LSTM: Enhanced loss function in LSTM to predict the sea surface temperature
B Usharani - Soft Computing, 2023 - Springer
Globe's primary issue is global warming, water temperatures have accompanied it as the
sea surface temperature, and it is the primary attribute to balance the energy on the earth's …
sea surface temperature, and it is the primary attribute to balance the energy on the earth's …
Deep residual convolutional neural network combining dropout and transfer learning for ENSO forecasting
J Hu, B Weng, T Huang, J Gao, F Ye… - Geophysical Research …, 2021 - Wiley Online Library
To improve EI Niño‐Southern Oscillation (ENSO) amplitude and type forecast, we propose a
model based on a deep residual convolutional neural network with few parameters. We …
model based on a deep residual convolutional neural network with few parameters. We …
Transformer for ei niño-southern oscillation prediction
F Ye, J Hu, TQ Huang, LJ You… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Accurate prediction of EI Niño-southern oscillation (ENSO) is of great significance to
seasonal climate forecast. Recently, a convolutional neural network (CNN) has shown an …
seasonal climate forecast. Recently, a convolutional neural network (CNN) has shown an …
Applications of soft computing models for predicting sea surface temperature: a comprehensive review and assessment
The application of soft computing (SC) models for predicting environmental variables is
widely gaining popularity, because of their capability to describe complex non-linear …
widely gaining popularity, because of their capability to describe complex non-linear …