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Asia-Pacific Network for Global Change Research

Asia-Pacific Network for Global Change Research

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A web-based Graphical User Interface (GUI) visualization tool for extreme climate analysis for Serayu, Indonesia and Krishna, India river basins.

A web-based Graphical User Interface (GUI) visualization tool is developed using R-shiny, and is accessible from the link provided. The GUI visualization tool allows interactive analysis via (a) developing plots of rainfall of different temporal resolution (e.g., daily, monthly) for a chosen time period, for the Krishna river basin, India, and (b) applying advanced statistical techniques in the context of extreme climate analysis for both river basins, i.e., Serayu river basin, Indonesia and Krishna river basin, India. The tool has the potential to expand with various features so that personnel of various interests including a curious basin resident, an engineer, public authority personnel and a scientist can have hands-on different aspects of rainfall analysis.

The first tab “Basin Information” shows the geographical location of the river basins on the world map and then on their country maps. The tab also shows a detailed map of the river basins. The second tab “Rainfall Analysis” has four sub-tabs, and each sub-tab allows the generation of a time series plot of (daily or monthly or seasonal or annual) rainfall for the Krishna river basin. Also, the subplots allow to the generation of maximum rainfall time series plots specific to month- and annual- time scales. The time series plots can be customized for the desired time period for daily-, monthly- and annual- time scales. Thus, these plots assist in getting an idea of the magnitude and variability of rainfall for different time periods. The third tab “Statistical Techniques” allows the application of three statistical techniques on three different rainfall amounts representative of extreme climate, i.e., annual daily maximum-, annual 3-day maximum- and annual 7-day maximum- rainfall amounts. The selected three statistical techniques are Copula analysis (Copula), Self-Organizing Map (SOM) and Non-Stationary Extreme Value Analysis (NEVA). These techniques assist in the analysis of spatial and temporal variability of precipitation extremes. Currently, these techniques can be applied on both river basins, separately.