Impact of assimilation of multi source observations in prediction of extreme rainfall events with different data assimilation techniques using WRF model

dc.contributor.guide	V Rakesh
dc.coverage.spatial
dc.creator.researcher	Bankar Ajay Vijay
dc.date.accessioned	2024-06-12T04:06:25Z
dc.date.available	2024-06-12T04:06:25Z
dc.date.awarded	2024
dc.date.completed	2024
dc.date.registered	2017
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	All Pages
dc.identifier.uri	http://hdl.handle.net/10603/570814
dc.language	English
dc.publisher.institution	Physical Sciences (CSIR-4PI)
dc.publisher.place	Ghaziabad
dc.publisher.university	Academy of Scientific and Innovative Research (AcSIR)
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Physical Sciences
dc.subject.keyword	Physics
dc.subject.keyword	Physics Applied
dc.title	Impact of assimilation of multi source observations in prediction of extreme rainfall events with different data assimilation techniques using WRF model
dc.title.alternative	Impact of assimilation of multi-source observations in prediction of extreme rainfall events with different data assimilation techniques using WRF model
dc.type.degree	Ph.D.