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 change scenarios, various prediction approaches have been utilized. For these, bias correction using the past observed and predicted values should be performed fi rst because predicted values of Climate change scenarios from the CCIC usually underestimate measured value. The Change 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 the climate change scenarios. Thus, in this study, integrated method by linking Change Factor and Quantile Mapping (CF+QM) was suggested and developed, and its effectiveness was demonstrated by applying it to study area. It was shown that the CF+QM would provide better prediction compared with that from each of CF and QM method. To provide easy access to this bias correction program, the Web-GIS interface was developed using PHP/CGI, GNUPLOT, OpenLayers, JavaScript and bias correction engine. The output data are provided in graphical and tabular format for further analysis. Although this Web GIS-based Bias correction system using integrated bias correction provides convenient method, in-depth researches are needed to improve its predictive performance.