Weather Radar Information and Distributed Hydrological Modelling (IAHS Proceedings & Reports)

Y.Tachikawa.B.E.Vieux.K.P.Georgakakos.E.Nakatita.

ISBN 10: 1901502376 / ISBN 13: 9781901502374

Published by IAHS Publication No.282., Wallingford, UK., 2003

About this Item

This book is part of a large purchase from a Public Sector Library and except where mentioned are for the most part LIKE NEW! MOSTLY the ONLY flaws are the blacked out (they insisted) Library stamps which show many of them to be UNUSED! This copy is Near Fine (NEAR NEW). FEEL FREE TO E-MAIL FOR PHOTOGRAPHS AND FURTHER DETAILS. FROM A DEALER WHO TELLS YOU WHO THEY ARE AND WHAT THEIR TELEPHONE AND ADDRESS CONTACT DETAILS ARE! Size: 8vo - over 7¾" - 9¾".

Seller Inventory # 33333337550

Bibliographic Details

• Title: Weather Radar Information and Distributed Hydrological Modelling (IAHS Proceedings & Reports)
• Publisher: IAHS Publication No.282., Wallingford, UK.
• Publication Date: 2003
• Language: English
• ISBN 10: 1901502376
• ISBN 13: 9781901502374
• Binding: Glossy Card
• Edition: This is the FIRST EDITION
• Condition: Near Fine (NEAR NEW)
• Dust Jacket Condition: No Jacket
• Signed: EX PUBLIC SECTOR LIBRARY BLACK
• Seller catalogs:
  • Environmental Subjects

About this title

Synopsis

The combined use of radar hydrology with distributed hydrological modelling creates powerful numerical tools for forecasting storms, floods and related natural disasters. Such tools, when used with historical observations, can also contribute rich information for water resources assessment. Considerable attention has been focused on these developments. However, fundamental issues of model development associated with the existence of uncertainties or errors in radar rainfall estimation and prediction, and in distributed model parameters, still remain unresolved. Clarification as to how hydrological prediction accuracy will be improved is essential. Scale issues also need further study. Suitable model resolution and required forcing resolution might be a function of catchment scale, but the relationship between them is still unknown. In association with the scale issues, assessing in what environment a distributed model shows better performance than a lumped model, is also an important research topic.

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