Statistical downscaling of the 2m temperature with a generative adversarial network (GAN)

Michael Langguth; Bing Gong; Yan Ji; Amirpasha Mozaffari; Martin G. Schultz

doi:https://doi.org/10.5194/ems2022-552

[Back] [Session OSA1.9]

EMS Annual Meeting Abstracts

Vol. 19, EMS2022-552, 2022

https://doi.org/10.5194/ems2022-552

EMS Annual Meeting 2022

Statistical downscaling of the 2m temperature with a generative adversarial network (GAN)

Michael Langguth, Bing Gong, Yan Ji, Amirpasha Mozaffari, and Martin G. Schultz

Michael Langguth et al.

Forschungszentrum Juelich, Juelich Supercomputing Centre, Germany (m.langguth@fz-juelich.de)

How to cite: Langguth, M., Gong, B., Ji, Y., Mozaffari, A., and Schultz, M. G.: Statistical downscaling of the 2m temperature with a generative adversarial network (GAN), EMS Annual Meeting 2022, Bonn, Germany, 5–9 Sep 2022, EMS2022-552, https://doi.org/10.5194/ems2022-552, 2022.

This abstract has been withdrawn on 01 Sep 2022.

Statistical downscaling of the 2m temperature with a generative adversarial network (GAN)

Supporters & sponsors