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Geosci. Model Dev., 11, 2189-2207, 2018
https://doi.org/10.5194/gmd-11-2189-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Development and technical paper
13 Jun 2018
The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8
Marialaura Bancheri1, Francesco Serafin1, Michele Bottazzi1, Wuletawu Abera3, Giuseppe Formetta2, and Riccardo Rigon1 1Department of Civil, Environmental and Mechanical Engineering, University of Trento, 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 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.
Citation: Bancheri, M., Serafin, F., Bottazzi, M., Abera, W., Formetta, G., and Rigon, R.: The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8, Geosci. Model Dev., 11, 2189-2207, https://doi.org/10.5194/gmd-11-2189-2018, 2018.
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Short summary
This paper presents a new modeling package for the spatial interpolation of environmental variables. It includes 11 theoretical semivariogram models and four types of Kriging interpolations. To test the performances of the package, two applications are performed: the interpolation of 1 year of temperatures and a rainfall event. Both interpolations gave good results. In comparison with gstat, the SIK package proved to be a good alternative, regarding both the easiness of use and the accuracy.
This paper presents a new modeling package for the spatial interpolation of environmental...
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