Extreme heat wave sampling and prediction with analog Markov chain and comparisons with deep learning

George Miloshevich, Dario Lucente, Pascal Yiou, Freddy Bouchet

Open source

DOI: 10.1017/eds.2024.7
Published: 2024
Container: Environmental Data Science
Publisher: Cambridge University Press (CUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1017/eds.2024.7,
  title = {Extreme heat wave sampling and prediction with analog Markov chain and comparisons with deep learning},
  author = {George Miloshevich and Dario Lucente and Pascal Yiou and Freddy Bouchet},
  year = {2024},
  journal = {Environmental Data Science},
  doi = {10.1017/eds.2024.7},
  url = {https://doi.org/10.1017/eds.2024.7}
}

RIS

TY  - JOUR
TI  - Extreme heat wave sampling and prediction with analog Markov chain and comparisons with deep learning
AU  - George Miloshevich
AU  - Dario Lucente
AU  - Pascal Yiou
AU  - Freddy Bouchet
PY  - 2024
JO  - Environmental Data Science
DO  - 10.1017/eds.2024.7
UR  - https://doi.org/10.1017/eds.2024.7
ER  -

APA

Miloshevich, G., Lucente, D., Yiou, P., & Bouchet, F. (2024). Extreme heat wave sampling and prediction with analog Markov chain and comparisons with deep learning. Environmental Data Science. https://doi.org/10.1017/eds.2024.7

Source records

crossref · retrieved 2026-09-24T19:01:27.342Z