Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review

  1. Salcedo-Sanz, S.
  2. Pérez-Aracil, J.
  3. Ascenso, G.
  4. Del Ser, J.
  5. Casillas-Pérez, D.
  6. Kadow, C.
  7. Fister, D.
  8. Barriopedro, D.
  9. García-Herrera, R.
  10. Giuliani, M.
  11. Castelletti, A.
Zeitschrift:
Theoretical and Applied Climatology

ISSN: 1434-4483,  0177-798X

Datum der Publikation: 2024

Ausgabe: 155

Nummer: 1

Seiten: 1-44

Art: Rezension

DOI: 10.1007/S00704-023-04571-5 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus