Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2017-310
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Development and technical paper
25 Jan 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).
The design, deployment and testing of Kriging models in GEOframe
Marialaura Bancheri1, Francesco Serafin1, Michele Bottazzi1, Wuletawu Abera3, Giuseppe Formetta2, and Riccardo Rigon1 1Department of Civil, Environmental and Mechanical Engineering, University of Trento, Italy
2Centre for Ecology & Hydrology, Crowmarsh Gifford, Wallingford, UK
3International Center for Tropical Agriculture (CIAT), P.O. Box 5689, Addis Ababa, Ethiopia
Abstract. This work presents a package for the interpolation of climatological variables, such as temperature and precipitation, using Kriging techniques. The purposes of the study are (1) to present a geostatistical software easy to use and easy to plug-in in a hydrological model, (2) to show a practical example of an accurately designed software in the perspective of reproducible research, (3) to show the goodness of the software applications, in order to have a reliable alternative to other traditionally used tools. Ten 5 types of theoretical semivariograms and four types of Kriging were implemented and gathered into ObjectModelling System compliant components. The package provides real time optimization for semivariogram and kriging parameters. The software was tested using temperature and rainfall data retrieved from 97 meteorological stations in the Isarco River basin, Italy. For both variables, good interpolation results were obtained and then compared to the results from the R package, gstat.

Citation: Bancheri, M., Serafin, F., Bottazzi, M., Abera, W., Formetta, G., and Rigon, R.: The design, deployment and testing of Kriging models in GEOframe, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-310, in review, 2018.
Marialaura Bancheri et al.
Marialaura Bancheri et al.

Data sets

OMS project with the entire dataset used for the simulations M. Bancheri https://doi.org/10.5281/zenodo.1068146

Model code and software

Source code and tests GEOframe developers https://doi.org/10.5281/zenodo.1159117
Marialaura Bancheri et al.

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Short summary
This paper presents a new modelling package for the spatial interpolation of environmental variables. It includes 10 theoretical semivariogram models and 4 types of Kriging interpolations. To test the performance of the package, 2 applications are performed: the interpolation of 1 year of temperatures and of a rainfall event. Both interpolations gave very good results.In comparison with gstat, the SIK package proved to be a good alternative, as regards both the easiness of use and the accuracy.
This paper presents a new modelling package for the spatial interpolation of environmental...
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