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pro vyhledávání: '"Cannon, Alex"'
This paper explores the application of emerging machine learning methods from image super-resolution (SR) to the task of statistical downscaling. We specifically focus on convolutional neural network-based Generative Adversarial Networks (GANs). Our
Externí odkaz:
http://arxiv.org/abs/2302.08720
Autor:
Casas-Prat, Mercè, Cicon, Leah, Pouliot, Benoit, Bernier, Natacha B., Cannon, Alex J., Chan, Rodney
Publikováno v:
In Ocean Modelling December 2024 192
Autor:
Cannon, Alex J.1 (AUTHOR) alex.cannon@ec.gc.ca, Jeong, Dae-Il2 (AUTHOR), Yau, Ka-Hing3 (AUTHOR)
Publikováno v:
Journal of Climate. Jun2024, Vol. 37 Issue 12, p3393-3411. 19p.
Autor:
Cannon, Alex J.1 (AUTHOR) alex.cannon@ec.gc.ca
Publikováno v:
Journal of Climate. Mar2024, Vol. 37 Issue 6, p2141-2154. 14p.
Akademický článek
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Autor:
Gillett, Nathan P., Cannon, Alex J., Malinina, Elizaveta, Schnorbus, Markus, Anslow, Faron, Sun, Qiaohong, Kirchmeier-Young, Megan, Zwiers, Francis, Seiler, Christian, Zhang, Xuebin, Flato, Greg, Wan, Hui, Li, Guilong, Castellan, Armel
Publikováno v:
In Weather and Climate Extremes June 2022 36
Publikováno v:
In Weather and Climate Extremes June 2022 36
Autor:
Kirchmeier-Young, Megan C., Malinina, Elizaveta, Barber, Quinn E., Garcia Perdomo, Karen, Curasi, Salvatore R., Liang, Yongxiao, Jain, Piyush, Gillett, Nathan P., Parisien, Marc-André, Cannon, Alex J., Lima, Aranildo R., Arora, Vivek K., Boulanger, Yan, Melton, Joe R., Van Vliet, Laura, Zhang, Xuebin
Publikováno v:
NPJ Climate & Atmospheric Science; 12/20/2024, Vol. 7 Issue 1, p1-12, 12p
Autor:
Rajulapati, Chandra Rupa, Gaddam, Rohan Kumar, Nerantzaki, Sofia D., Papalexiou, Simon Michael, Cannon, Alex J., Clark, Martyn P.
Publikováno v:
In Urban Climate March 2022 42
Autor:
Cannon, Alex Jason
This dissertation develops multivariate statistical models for seasonal forecasting and downscaling of climate variables. In the case of seasonal climate forecasting, where record lengths are typically short and signal-to-noise ratios are low, partic
Externí odkaz:
http://hdl.handle.net/2429/2892