Qualitative analysis of precipiation distribution in Poland with use of different data sources
| Autor: | I. Dyras, B. Łapeta, A. Twardowski, D. Serafin-Rek, Jakub P. Walawender |
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| Přispěvatelé: | EGU, Publication |
| Rok vydání: | 2008 |
| Předmět: |
Atmospheric Science
Computer science lcsh:QC851-999 [SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph] computer.software_genre law.invention law Information system Radar lcsh:Science [SDU.OCEAN] Sciences of the Universe [physics]/Ocean Atmosphere Ecological Modeling Pie chart Geoprocessing computer.file_format Grid Pollution [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environment lcsh:QC1-999 Geophysics [PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] Scalability [SDU.STU] Sciences of the Universe [physics]/Earth Sciences lcsh:Q lcsh:Meteorology. Climatology Satellite Data mining Raster graphics computer lcsh:Physics |
| Zdroj: | Advances in Science and Research, Vol 2, Pp 27-30 (2008) |
| ISSN: | 1992-0636 |
| DOI: | 10.5194/asr-2-27-2008 |
| Popis: | Geographical Information Systems (GIS) can be used to integrate data from different sources and in different formats to perform innovative spatial and temporal analysis. GIS can be also applied for climatic research to manage, investigate and display all kinds of weather data. The main objective of this study is to demonstrate that GIS is a useful tool to examine and visualise precipitation distribution obtained from different data sources: ground measurements, satellite and radar data. Three selected days (30 cases) with convective rainfall situations were analysed. Firstly, scalable GRID-based approach was applied to store data from three different sources in comparable layout. Then, geoprocessing algorithm was created within ArcGIS 9.2 environment. The algorithm included: GRID definition, reclassification and raster algebra. All of the calculations and procedures were performed automatically. Finally, contingency tables and pie charts were created to show relationship between ground measurements and both satellite and radar derived data. The results were visualised on maps. |
| Databáze: | OpenAIRE |
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