The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8

Bancheri, Marialaura; Serafin, Francesco; Bottazzi, Michele; Abera, Wuletawu; Formetta, Giuseppe; Rigon, Riccardo. 2018 The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8. Geoscientific Model Development, 11 (6). 2189-2207. https://doi.org/10.5194/gmd-11-2189-2018

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Official URL: http://dx.doi.org/10.5194/gmd-11-2189-2018

Abstract/Summary

This work presents a software package for the interpolation of climatological variables, such as temperature and precipitation, using kriging techniques. The purposes of the paper are (1) to present a geostatistical software that is easy to use and easy to plug in to a hydrological model; (2) to provide a practical example of an accurately designed software from the perspective of reproducible research; and (3) to demonstrate the goodness of the results of the software and so have a reliable alternative to other, more traditional tools. A total of 11 types of theoretical semivariograms and four types of kriging were implemented and gathered into Object Modeling System-compliant components. The package provides real-time optimization for semivariogram and kriging parameters. The software was tested using a year's worth of hourly temperature readings and a rain storm event (11 h) recorded in 2008 and retrieved from 97 meteorological stations in the Isarco River basin, Italy. For both the variables, good interpolation results were obtained and then compared to the results from the R package gstat.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.5194/gmd-11-2189-2018
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	1991-959X
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Meteorology and Climatology Computer Science
Date made live:	28 Jun 2018 10:38 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/520415

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.5194/gmd-11-2189-2018

UKCEH and CEH Sections/Science Areas:

Hydro-climate Risks (Science Area 2017-)

ISSN:

1991-959X

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

NORA Subject Terms:

Meteorology and Climatology
Computer Science