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Web GIS for the Carpathian Region Climate Analysis

TitleWeb GIS for the Carpathian Region Climate Analysis
Publication TypeConference Paper
Year of Publication2014
AuthorsAntolović I, Mihajlović V, Rančić D, Mihić D, Djurdjević V
Conference NameDailyMeteo.org/2014
Date Published06/2014
PublisherFaculty of Civil Engineering, University of Belgrade
Conference LocationBelgrade
Abstract

Acquisition and analysis of meteorological data is crucial for prediction of climate changes, drought and flood. Concerning that this dataset contains a geospatial component and covers long periods of time it requires a specialized GIS (Geographic Information System) for suitable processing and visualization. Also in order to make these data available to a wider scientific community it is recommended to provide a Web based GIS solution (Geoportal ARSO 2013, Czech Republic Climate Atlas 2013). The CARPATCLIM (Climate of the Carpathian Region) Web GIS represents the main entry point for accessing, visualization and analysis of all relevant metrological data acquired on the CARPATCLIM project. The main goal of this project was to create a gridded climatologic database for the Carpathian region in a daily temporal resolution for the period 1961-2010 by using 0.1° spatial resolution. The dataset includes fourteen essential meteorological variables (temperature, precipitation, pressure, global radiation, wind speed and direction, etc.) and variety of climate indices (Standardized Precipitation Index, Palfai and Reconnaissance Drought Index, Palmer Drought Severity Index etc.). The basic functionality of CARPATCLIM Web GIS is to display a particular variable for a particular day as a raster colored grid or as a set of isocontours, along with the automatically calculated information about minimal and maximal values inside the displayed grid. The grid is underlaid with a raster relief map and a vector map of country borders. Advanced features include visualization of averaged grid values for a custom defined time period. Time period can be defined on a monthly, yearly basis or for a particular day, month over a specified year span. All calculations perform in real time due to an efficient database organization resulting in fast data retrieval. The results can be downloaded as an image or in standard raster data format, which is suitable for further processing.

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