On the use of convolutional neural networks for downscaling daily temperatures over southern South America in a climate change scenario-Reference-Cited by-同舟云学术

On the use of convolutional neural networks for downscaling daily temperatures over southern South America in a climate change scenario

Published:2023-08-15 Issue:1 Volume:62 Page:383-397
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Balmaceda-Huarte Rocío^ORCID,Baño-Medina Jorge^ORCID,Olmo Matias Ezequiel^ORCID,Bettolli Maria Laura^ORCID

Funder

Universidad de Buenos Aires

Agencia Nacional de Promoción Científica y Tecnológica

Agencia Estatal de Investigación

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00382-023-06912-6.pdf

Reference44 articles.

1. Almeira G, Rusticucci M, Suaya M (2016) Relationship between mortality and extreme temperatures in Buenos Aires and Rosario. Meteorol Ogica 41(2):65–79

2. Ambrizzi T, Reboita MS, da Rocha RP, Llopart M (2019) The state of the art and fundamental aspects of regional climate modeling in South America. Ann N Y Acad Sci 1436:98–120. https://doi.org/10.1111/nyas.13932

3. Araya-Osses D, Casanueva A, Roman-Figueroa C, Uribe JM, Paneque M (2020) Climate change projections of temperature and precipitation in Chile based on statistical downscaling. Clim Dyn 54:4309–4330. https://doi.org/10.1007/S00382-020-05231-4

4. Balmaceda-Huarte R, Bettolli ML (2022) Assessing statistical downscaling in Argentina: daily maximum and minimum temperatures. Int J Climatol. https://doi.org/10.1002/joc.7733

5. Balmaceda-Huarte R, Olmo ME, Bettolli ML, Poggi MM (2021) Evaluation of multiple reanalyses in reproducing the spatio-temporal variability of temperature and precipitation indices over southern South America. Int J Climatol 2021:1–24. https://doi.org/10.1002/joc.7142

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