Decadal Temperature Prediction

Decadal temperature prediction aims to forecast global and regional temperatures over 10-year timescales, a crucial task for understanding and mitigating climate change impacts. Current research focuses on developing advanced models, including data-driven approaches like neural networks (e.g., convolutional networks, deep learning frameworks) and hybrid methods combining machine learning with traditional climate models, to improve prediction accuracy and reduce uncertainties. These efforts are significant because accurate decadal predictions are essential for informing climate adaptation strategies, resource management, and policy decisions across various sectors.

Papers

June 12, 2024

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series
Ranjan Sapkota, Rizwan Qureshi, Marco Flores Calero, Chetan Badjugar, Upesh Nepal, Alwin Poulose, Peter Zeno, Uday Bhanu Prakash Vaddevolu, Sheheryar Khan, Maged Shoman, Hong Yan, Manoj Karkee
Comprehensive Review YOLOv5 Model TV Show Detection Algorithm Look Once Algorithm Decadal Temperature Prediction

May 24, 2024

Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction
Zijie Guo, Pumeng Lyu, Fenghua Ling, Lei Bai, Jing-Jia Luo, Niklas Boers, Toshio Yamagata, Takeshi Izumo, Sophie Cravatte, Antonietta Capotondi, Wanli Ouyang
Long Term Ocean Current Ocean Dynamic ORCa Behavior Ocean Modeling Numerical Ocean Decadal Temperature Prediction

February 20, 2024

Quantitative causality, causality-guided scientific discovery, and causal machine learning
X. San Liang, Dake Chen, Renhe Zhang
Causal Pattern Earth System Causal Machine Learning Causality Analysis Causal Deep Learning Decadal Temperature Prediction

October 6, 2023

Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data
Saumya Sinha, John Fasullo, R. Steven Nerem, Claire Monteleoni
Neural Network Spectral Clustering Satellite Altimetry Decadal Temperature Prediction Sea Level

April 19, 2023

Decadal Temperature Prediction via Chaotic Behavior Tracking
Jinfu Ren, Yang Liu, Jiming Liu
Long Term Prediction Climate Projection Temperature Evolution Land Surface Temperature Decadal Temperature Prediction

January 25, 2023

Recursive deep learning framework for forecasting the decadal world economic outlook
Tianyi Wang, Rodney Beard, John Hawkins, Rohitash Chandra
Recursive Neural Network Decadal Temperature Prediction

February 23, 2022

A Bayesian Deep Learning Approach to Near-Term Climate Prediction
Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo
Bayesian Deep Learning Ensemble Weather Climate Prediction Convolutional LSTM Decadal Temperature Prediction

Decadal Temperature Prediction

Papers

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series

Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction

Quantitative causality, causality-guided scientific discovery, and causal machine learning

Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data

Decadal Temperature Prediction via Chaotic Behavior Tracking

Recursive deep learning framework for forecasting the decadal world economic outlook

A Bayesian Deep Learning Approach to Near-Term Climate Prediction