Understanding Atmospheric Rivers Using Machine Learning

This book delves into the characterization, impacts, drivers, and predictability of atmospheric rivers (AR). It begins with the historical background and mechanisms governing AR formation, giving insights into the global and regional perspectives of ARs, observing their varying manifestations across...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Goyal, Manish Kumar (Awdur), Singh, Shivam (Awdur)
Awdur Corfforaethol: SpringerLink (Online service)
Fformat: Electronig eLyfr
Iaith:Saesneg
Cyhoeddwyd: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Rhifyn:1st ed. 2024.
Cyfres:SpringerBriefs in Applied Sciences and Technology,
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-3-031-63478-9
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Tabl Cynhwysion:
  • Understanding Atmospheric Rivers and Exploring Their Role as Climate Extremes
  • Characterization and Impacts of Atmospheric Riversharacterization and Impacts of Atmospheric Rivers
  • Key Characteristics of Atmospheric Rivers and Associated Precipitation
  • Major Large-Scale Climate Oscillations and their Interactions with Atmospheric Rivers
  • Role of Machine Learning in Understanding and Managing Atmospheric Rivers.