Characteristics and Comparison of Different Downscaling Methods in Global Climate Model

• 作者: Feng KONG
• 来源期刊: 气象与环境研究:英文版
• 学科: 地球科学
• 关键词: CLIMATE PREDICTION DYNAMICAL DOWNSCALING STATISTICAL DOWNSCALING COMBINATION of STATISTICAL and dynamic DOWNSCALING
• 年，卷（期）: 2020,（1）
• 页码范围: 40-44
• 页数: 5页
• 分类号: P46

摘要

Global climate change greatly impedes the sustainable development of human society.And severe consequences could arise unless effective measures are taken to prevent them under the condition that we have a clear understanding of the trend of climate change.Currently,the most practical way to predict trend of climate change is GCM.However,GCM is unavailable in predicting detailed regional climate due to the lack of regional information and a relatively low spatial resolution of GCM.Such shortcoming is supplemented by the methods of downscaling which fall into three types:dynamical downscaling,statistical downscaling and the combination of statistical and dynamic downscaling.This paper aims at explaining in detail the methods of downscaling mentioned above and comparing their advantages and disadvantages in the hope of offering a reference for global climate prediction.