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Interpretable Machine Learning for Weather and Climate Prediction: A
  Survey

Interpretable Machine Learning for Weather and Climate Prediction: A Survey

24 March 2024
Ruyi Yang
Jingyu Hu
Zihao Li
Jianli Mu
Tingzhao Yu
Jiangjiang Xia
Xuhong Li
Aritra Dasgupta
Haoyi Xiong
    AI4CE
ArXivPDFHTML

Papers citing "Interpretable Machine Learning for Weather and Climate Prediction: A Survey"

5 / 5 papers shown
Title
Prototype-Based Methods in Explainable AI and Emerging Opportunities in
  the Geosciences
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences
Anushka Narayanan
Karianne J. Bergen
29
1
0
22 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Alessandro Lovo
Amaury Lancelin
Corentin Herbert
Freddy Bouchet
AI4CE
25
0
0
01 Oct 2024
Towards Uncovering How Large Language Model Works: An Explainability
  Perspective
Towards Uncovering How Large Language Model Works: An Explainability Perspective
Haiyan Zhao
Fan Yang
Bo Shen
Himabindu Lakkaraju
Jundong Li
35
10
0
16 Feb 2024
Finding the right XAI method -- A Guide for the Evaluation and Ranking
  of Explainable AI Methods in Climate Science
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
P. Bommer
M. Kretschmer
Anna Hedström
Dilyara Bareeva
Marina M.-C. Höhne
46
38
0
01 Mar 2023
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
7,904
0
13 Jun 2015
1