Articles | Volume 27, issue 3
https://doi.org/10.5194/npg-27-453-2020
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
17 Sep 2020
Research article |
| 17 Sep 2020
| 17 Sep 2020
Applications of matrix factorization methods to climate data
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Related subject area
Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Big data and artificial intelligence
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Predicting sea surface temperatures with coupled reservoir computers
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The blessing of dimensionality for the analysis of climate data
Producing realistic climate data with generative adversarial networks
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