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Qualitative Analysis of Precipiation Distribution in Poland with Use of Different Data Sources : Volume 2, Issue 1 (10/04/2008)

By Walawender, J.

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Book Id: WPLBN0003976998
Format Type: PDF Article :
File Size: Pages 4
Reproduction Date: 2015

Title: Qualitative Analysis of Precipiation Distribution in Poland with Use of Different Data Sources : Volume 2, Issue 1 (10/04/2008)  
Author: Walawender, J.
Volume: Vol. 2, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2008
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Dyras, I., Serafin-Rek, D., Łapeta, B., Walawender, J., & Twardowski, A. (2008). Qualitative Analysis of Precipiation Distribution in Poland with Use of Different Data Sources : Volume 2, Issue 1 (10/04/2008). Retrieved from http://members.worldlibrary.net/


Description
Description: Institute of Meteorology and Water Management, Satellite Remote Sensing Centre, ul. P. Borowego 14, 30-215 Kraków, Poland. 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.


Summary
Qualitative analysis of precipiation distribution in Poland with use of different data sources

Excerpt
Atmospheric Data Modeling Group: Cataloguing data by usability in GIS, Atmospheric Front, ESRI, http://www.weather.gov/regsci/gis/presentations/ESRI_Fall06.pdf, last access: 22 October 2007.; GRIB API online manual: http://www.ecmwf.int/products/data/software/grib_api.html, last access: 11 July 2007.; Stone, D. and Harison, D.: Nimrod System Documentation Paper no.2 – NIMROD Format for Image and Model field files, 2004.; H-SAF Algorithm Theoretical Definition Document: Baseline version (ATDD-1.0), Part-2 – Algorithms for precipitation products generation, edited by: Bizzarri, B., 2007.; Szturc, J. and Dziewit, Z.: COST 717 Final Report, chapter: Status and perspectives on using radar data, Poland, 217–220, http://www.smhi.se/cost717/doc/WDF_MC_200505_1.pdf, 2005.; Szturc, J., Osródka, K., and Jurczyk, A.: 2006 Scheme of quality index for radar-derived estimated and nowcasted precipitation, Proceedings of ERAD, http://www.grahi.upc.es/ERAD2006/proceedingsMask/00162.pdf, 2006.

 

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