IMPROVED WEB GIS-BASED BIAS CORRECTION METHODS OF FUTURE CLIMATE CHANGE SCENARIOS

摘要

To develop proper action plans against probable disasters due to various climate changescenarios, various prediction approaches have been utilized. For these, bias correction usingthe past observed and predicted values should be performed fi rst because predicted valuesof Climate change scenarios from the CCIC usually underestimate measured value. TheChange Factor (CF) and Quantile Mapping (QM) have been widely used to correct bias.However, it has been known that these two methods have limitations in correcting bias of theclimate change scenarios. Thus, in this study, integrated method by linking Change Factorand Quantile Mapping (CF+QM) was suggested and developed, and its effectiveness wasdemonstrated by applying it to study area. It was shown that the CF+QM would provide betterprediction compared with that from each of CF and QM method. To provide easy access to thisbias correction program, the Web-GIS interface was developed using PHP/CGI, GNUPLOT,OpenLayers, JavaScript and bias correction engine. The output data are provided in graphicaland tabular format for further analysis. Although this Web GIS-based Bias correction systemusing integrated bias correction provides convenient method, in-depth researches are neededto improve its predictive performance.