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...

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Hlavní autoři:	Goyal, Manish Kumar (Autor), Singh, Shivam (Autor)
Korporativní autor:	SpringerLink (Online service)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Vydání:	1st ed. 2024.
Edice:	SpringerBriefs in Applied Sciences and Technology,
Témata:	Chemical engineering. Environmental engineering. Atmospheric science. Machine learning. Climatology. Environmental Process Engineering. Atmospheric Science. Machine Learning. Climate Sciences.
On-line přístup:	https://doi.org/10.1007/978-3-031-63478-9
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