Projection of China's Near- and Long-Term Climate in a New High-Resolution Daily Downscaled Dataset NEX-GDDP

被引:62
|
作者
Bao, Yun [1 ,2 ]
Wen, Xinyu [1 ]
机构
[1] Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing 100871, Peoples R China
[2] Peoples Liberat Army, Troop 61741, Beijing 100094, Peoples R China
基金
中国国家自然科学基金;
关键词
statistical downscaling; climate projection; climate change; CMIP5; NEX-GDDP; MODEL; EXTREMES; MONSOON;
D O I
10.1007/s13351-017-6106-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The projection of China's near- and long-term future climate is revisited with a new-generation statistically down-scaled dataset, NEX-GDDP (NASA Earth Exchange Global Daily Downscaled Projections). This dataset presents a high-resolution seamless climate projection from 1950 to 2100 by combining observations and GCM results, and remarkably improves CMIP5 hindcasts and projections from large scale to regional-to-local scales with an unchanged long-term trend. Three aspects are significantly improved: (1) the climatology in the past as compared against the observations; (2) more reliable near-and long-term projections, with a modified range of absolute value and reduced inter-model spread as compared to CMIP5 GCMs; and (3) much added value at regional-to-local scales compared to GCM outputs. NEX-GDDP has great potential to become a widely-used high-resolution dataset and a benchmark of modern climate change for diverse earth science communities.
引用
收藏
页码:236 / 249
页数:14
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