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Coastal Altimetry - Selected Case Studies from Asian Shelf Seas (Paperback) Loot Price: R2,919
Discovery Miles 29 190
You Save: R379 (11%)
Coastal Altimetry - Selected Case Studies from Asian Shelf Seas (Paperback): Stefano Vignudelli, Nurul Hazrina Idris

Coastal Altimetry - Selected Case Studies from Asian Shelf Seas (Paperback)

Stefano Vignudelli, Nurul Hazrina Idris

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Was R3,298 Loot Price R2,919 Discovery Miles 29 190 | Repayment Terms: R274 pm x 12* You Save R379 (11%)

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Coastal Altimetry: Selected Case Studies from Asian Shelf Seas provides information on developments over the past decade in the processing of remotely sensed altimetry in coastal areas, with an overview of expected errors and where they stem from, along with remaining gaps in processing. Challenges covered include the retracking of the altimetric signal to account for land contamination, tropospheric water corrections, and tidal model improvements, along with the pros and cons of widely available products. Additional chapters provide recent research in the regional seas of Asia and cover variability, dynamics, predictability and prediction, impacts of extreme events, effects to ecosystems, and more. This book offers readers a dataset that can illuminate our understanding of the propagation of planetary boundary waves that have a significant sea level signal in near coastal regions. As such, researchers and students who have a foundation in satellite altimetry and want to know the latest development of open ocean and coastal satellite altimetry, especially in Asian coastal regions, will benefit from this book.

General

Imprint: Elsevier - Health Sciences Division
Country of origin: United States
Release date: May 2023
First published: 2023
Editors: Stefano Vignudelli • Nurul Hazrina Idris
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 350
ISBN-13: 978-0-323-91708-7
Categories: Books > Earth & environment > The environment > General
Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring
LSN: 0-323-91708-9
Barcode: 9780323917087

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