Learning and Dynamical Models for Sub-seasonal Climate Forecasting:
Comparison and Collaboration

Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration

29 September 2021

Arindam Banerjee

Papers citing "Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration"

5 / 5 papers shown

Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng L. Zhang Zimu Zhou Yongxin Tong AI4TS 18 0 0 09 May 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer Yang Liu Zinan Zheng Jiashun Cheng Fugee Tsung Deli Zhao Yu Rong J. Li 70 1 0 27 Feb 2025
Applications of machine learning to predict seasonal precipitation for East Africa M. Scheuerer Claudio Heinrich-Mertsching T. Bahaga M. Gudoshava T. Thorarinsdottir AI4Cl 12 0 0 10 Sep 2024
Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data Anurag Mishra Ronen Gold Sanjeev Vijayakumar AI4CE 16 0 0 24 May 2024
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting Elena Orlova Haokun Liu Raphael Rossellini B. Cash Rebecca Willett 11 3 0 29 Nov 2022