![]() Based on Latin Hypercube Sampling (LHS) technique, a block sampling approach was proposed for climate variability simulation. The wide used time horizon (1961-1990) was selected as baseline period. Aiming at this issue, this study proposed a type of simulation methodology, which could analyze the effect of climate natural variability by means of reproducing long series based on the baseline period resampling. Since without long enough historical series, impacts of climate variability have been always avoided deliberately. It keeps attributing all changes (runoff, e.g.) to climate change, which may lead to wrong understanding of climate change impact assessment. In the current research of climate change impact, climate natural fluctuation (variability) has seldom been studied separately. This issue is becoming more urgent as evidences of intensifying climate change are growing. Water resources assessment impacted by climate change is very important to water resources planning and management. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |