Precipitation Sensor Network Optimal Design Using Time-Space Varying Correlation Structure

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Abstract

Design of optimal precipitation sensor networks is a common topic in hydrological literature, however this is still an open problem due to lack of understanding of some spatially variable processes, and assumptions that often cannot be verified. Among these assumptions lies the homoscedasticity of precipitation fields, common in hydrological practice. To overcome this, it is proposed a local intensity-variant covariance structure, which in the broad extent, provides a fully updated correlation structure as long as new data are coming into the system. These considerations of intensity-variant correlation structure will be tested in the design of a precipitation sensor network for a case study, improving the estimation of precipitation fields, and thus, reducing the input uncertainty in hydrological models, especially in the scope of rainfall-runoff models.
Original languageEnglish
Title of host publicationProceedings of the HIC 2014 - 11th international conference on hydroinformatics
EditorsM Piasecki
Pages2331-2336
Publication statusPublished - 2014
Event11th International Conference on Hydroinformatics - New York, United States
Duration: 17 Aug 201421 Aug 2014
Conference number: 11
http://academicworks.cuny.edu/cc_conf_hic/

Publication series

Name
Publishers.n.

Conference

Conference11th International Conference on Hydroinformatics
Abbreviated titleHIC 2014
CountryUnited States
CityNew York
Period17/08/1421/08/14
Internet address

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