Self-supervised learning for climate downscaling

Author:

Singh Karandeep1,Jeong Chaeyoon2,Park Sungwon2,Babur Arjun N3,Zeller Elke3,Cha Meeyoung1

Affiliation:

1. IBS,Data Science Group,Daejeon,South Korea

2. KAIST,School of Computing,Daejeon,South Korea

3. IBS,Center for Climate Physics,Busan,South Korea

Funder

Institute for Basic Science

Publisher

IEEE

Reference25 articles.

1. Summary for policymakers;masson-delmotte;In Climate Change 2021 The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change,2021

2. The Community Earth System Model: A Framework for Collaborative Research

3. Accurate Image Super-Resolution Using Very Deep Convolutional Networks

4. Real-world superresolution via kernel estimation and noise injection;ji;Proc of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),2020

5. Deep Residual Learning for Image Recognition

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