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Sub-Seasonal Climate Forecasting via Machine Learning: Challenges,
  Analysis, and Advances

Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

14 June 2020
Sijie He
Xinyan Li
T. DelSole
Pradeep Ravikumar
A. Banerjee
    AI4Cl
ArXivPDFHTML

Papers citing "Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances"

5 / 5 papers shown
Title
A machine learning model for skillful climate system prediction
A machine learning model for skillful climate system prediction
Chenguang Zhou
Lei Chen
Xiaohui Zhong
Bo Lu
Hao Li
...
Jie Wu
Jiahui Hu
Zesheng Dou
Pang-Chi Hsu
Xinming Zhang
AI4Cl
52
0
0
06 May 2025
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for
  Subseasonal Forecasting
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
Elena Orlova
Haokun Liu
Raphael Rossellini
B. Cash
Rebecca Willett
24
3
0
29 Nov 2022
Learning and Dynamical Models for Sub-seasonal Climate Forecasting:
  Comparison and Collaboration
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
Sijie He
Xinyan Li
L. Trenary
B. Cash
T. DelSole
Arindam Banerjee
AI4TS
22
14
0
29 Sep 2021
Loosely Conditioned Emulation of Global Climate Models With Generative
  Adversarial Networks
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
Alexis Ayala
Christopher Drazic
Brian Hutchinson
Ben Kravitz
Claudia Tebaldi
GAN
AI4Cl
AI4CE
30
6
0
29 Apr 2021
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,906
0
13 Jun 2015
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