A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts-Reference-Cited by-同舟云学术

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

Published:2022-10 Issue:10 Volume:14 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J Adv Model Earth Syst

Author:

Harris Lucy¹^ORCID,McRae Andrew T. T.¹^ORCID,Chantry Matthew²^ORCID,Dueben Peter D.²^ORCID,Palmer Tim N.¹

Affiliation:

1. Department of Physics University of Oxford Oxford UK

2. European Centre for Medium‐Range Weather Forecasts Reading UK

Funder

H2020 European Research Council

Royal Society

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003120

Reference55 articles.

1. TRU-NET: a deep learning approach to high resolution prediction of rainfall

2. Agrawal S. Barrington L. Bromberg C. Burge J. Gazen C. &Hickey J.(2019).Machine learning for precipitation nowcasting from radar images. Retrieved fromhttps://arxiv.org/abs/1912.12132

3. Comparison of Methodologies for Probabilistic Quantitative Precipitation Forecasting*

4. Arjovsky M. Chintala S. &Bottou L.(2017).Wasserstein GAN. Retrieved fromhttps://arxiv.org/abs/1701.07875

5. Ben Bouallegue Z. &Richardson D. S.(2022).On the ROC area of ensemble forecasts for rare events. Weather and forecasting to appear. Retrieved fromhttps://www.preprints.org/manuscript/202111.0535/v1

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