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Journal of Meteorological Research

, Volume 31, Issue 1, pp 236–249 | Cite as

Projection of China’s near- and long-term climate in a new high-resolution daily downscaled dataset NEX-GDDP

  • Yun Bao
  • Xinyu Wen
Article

Abstract

The projection of China’s near- and long-term future climate is revisited with a new-generation statistically downscaled 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.

Key words

statistical downscaling climate projection climate change CMIP5 NEX-GDDP 

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Notes

Acknowledgments

We thank Ms. Qingzhao Zhu and Mr. Wengui Liang for helpful discussions.

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Copyright information

© The Chinese Meteorological Society and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Department of Atmospheric and Oceanic Sciences, School of PhysicsPeking UniversityBeijingChina
  2. 2.Troop 61741People’s Liberation Army of ChinaBeijingChina

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