ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather

ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather

<p>Identifying, detecting, and localizing extreme weather events is a crucial first step in understanding how they may vary under different climate change scenarios. Pattern recognition tasks such as classification, object detection, and segmentation (i.e., pixel-level classification) have rem...

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Bibliographic Details
Main Authors: Prabhat, K. Kashinath, M. Mudigonda, S. Kim, L. Kapp-Schwoerer, A. Graubner, E. Karaismailoglu, L. von Kleist, T. Kurth, A. Greiner, A. Mahesh, K. Yang, C. Lewis, J. Chen, A. Lou, S. Chandran, B. Toms, W. Chapman, K. Dagon, C. A. Shields, T. O'Brien, M. Wehner, W. Collins
Format: Article
Language:English
Published: Copernicus Publications 2021-01-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/14/107/2021/gmd-14-107-2021.pdf

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https://gmd.copernicus.org/articles/14/107/2021/gmd-14-107-2021.pdf

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