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Error modelling for modified-INSAT multi-spectral rainfall algorithm
, R. Ramsankaran
Published in Taylor and Francis Ltd.
2018
Volume: 39
   
Issue: 6
Pages: 1836 - 1852
Abstract
Considering the importance of the error estimates for satellite rainfall products in various applications, the present article deals with the development of an Error Model for Modified-INSAT Multi- Spectral Rainfall Algorithm (M-IMSRA) Estimates (EMME), a recently developed climate region scale rainfall algorithm across India. A non-parametric framework has been adopted to model all the four error components: Correct No-Rain Detection, Miss Rain, False Rain, and Hit Rain in M-IMSRA estimates at climate region scale. The developed error model generated convincing realization of reference rainfall for the estimated rainfall from M-IMSRA algorithm across all the climate regions of India. Exceptions are the high intensity hit rain events across arid Thar Desert and arid Himalayan regions and miss rain events across arid Himalayan region. Overall, the developed error model showed promising results in modelling hit, miss, and false error components of daily M-IMSRA estimates and thus can be associated with the M-IMSRA estimates. © 2018 Informa UK Limited, trading as Taylor & Francis Group. All Rights Reserved.
About the journal
JournalInternational Journal of Remote Sensing
PublisherTaylor and Francis Ltd.
ISSN01431161