Classifying large ensemble database of future climate projection: A case of precipitation in Japan

Abstract

 The rapid increase of the information about future climate projection needs conciderations for methods to classify those projection data. This study investigated the characteristic of precipitation in database for Policy Decision making for Future climate change (d4PDF), and found that the clustering approach works well in north reagions. This result indicates that the classification of projection can contribute to conduct an effective impact assessment study.