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  4. Can satellite based pattern-oriented memory improve the interpolation of sparse historical rainfall records?
 
research article

Can satellite based pattern-oriented memory improve the interpolation of sparse historical rainfall records?

Matos, Gamito De Saldanha Calado  
•
Pedro, José  
•
Cohen Liechti, Théodora
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2013
Journal of Hydrology

Ther is a standing challeng in obtaining long localized records of rainfall data in many large river basins of the developing world. Recent spaceborne instrumentation offers a constente source of rainfall information, but this information covers only a relatively limited time period. In this context, and given its consistence, a question rises on the potential offered by this new wealth of information to improve our understanding of the rainfall patterns and how to use them in order to alleviate the historical problems of scarcity of observed historical records.

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Type
research article
DOI
10.1016/j.jhydrol.2013.04.014
Web of Science ID

WOS:000321023900010

Author(s)
Matos, Gamito De Saldanha Calado  
Pedro, José  
Cohen Liechti, Théodora
Juizo, D.
Portela, M. M.  
Schleiss, Anton  
Date Issued

2013

Publisher

Elsevier Science Bv

Published in
Journal of Hydrology
Volume

492

Start page

102

End page

116

Subjects

Historical rainfall data

•

kriging

•

Least-Squares Support Vector Regression

•

Pattern-oriented memory

•

Rainfall interpilation

Note

[910]

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
PL-LCH  
Available on Infoscience
June 25, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/92962
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