The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8
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 pro...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Copernicus GmbH
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/93435 |
| _version_ | 1855539709157048320 |
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| author | Bancheri, Marialaura Serafin, Francesco Bottazzi, Michele Abera, Wuletawu Formetta, Giuseppe Rigon, Riccardo |
| author_browse | Abera, Wuletawu Bancheri, Marialaura Bottazzi, Michele Formetta, Giuseppe Rigon, Riccardo Serafin, Francesco |
| author_facet | Bancheri, Marialaura Serafin, Francesco Bottazzi, Michele Abera, Wuletawu Formetta, Giuseppe Rigon, Riccardo |
| author_sort | Bancheri, Marialaura |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace93435 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Copernicus GmbH |
| publisherStr | Copernicus GmbH |
| record_format | dspace |
| spelling | CGSpace934352025-03-13T09:45:29Z 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 climatic data datos climatológicos software hydrological model temperatura modeling precipitation precipitación atmosférica 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. 2018 2018-06-26T13:43:48Z 2018-06-26T13:43:48Z Journal Article https://hdl.handle.net/10568/93435 en Open Access Copernicus GmbH 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 Discussions, 11, 2189–2207 p. |
| spellingShingle | climatic data datos climatológicos software hydrological model temperatura modeling precipitation precipitación atmosférica Bancheri, Marialaura Serafin, Francesco Bottazzi, Michele Abera, Wuletawu Formetta, Giuseppe Rigon, Riccardo The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8 |
| title | The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8 |
| title_full | The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8 |
| title_fullStr | The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8 |
| title_full_unstemmed | The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8 |
| title_short | The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8 |
| title_sort | design deployment and testing of kriging models in geoframe with sik 0 9 8 |
| topic | climatic data datos climatológicos software hydrological model temperatura modeling precipitation precipitación atmosférica |
| url | https://hdl.handle.net/10568/93435 |
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