A new approach to construct representative future forcing data for dynamic downscaling-Reference-Cited by-同舟云学术

A new approach to construct representative future forcing data for dynamic downscaling

Published:2017-05-02 Issue:1-2 Volume:55 Page:315-323
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Dai Aiguo^ORCID,Rasmussen Roy M.,Ikeda Kyoko,Liu Changhai

Funder

Directorate for Geosciences

Office of Science

Climate Program Office

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s00382-017-3708-8.pdf

Reference34 articles.

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2. Collins M et al (2013) Long-term climate change: Projections, commitments and irreversibility. In: Stocker TF et al (eds) Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, pp 1029–1136

3. Dai A (2013) the influence of the inter-decadal pacific oscillation on U.S. precipitation during 1923–2010. Clim Dyn 41:633–646. doi: 10.1007/s00382-012-1446-5

4. Dai A, Bloecker CE (2017a) Impacts of internal variability on temperature and precipitation trends in large ensemble simulations by two climate models. Clim Dyn (submitted)

5. Dai A, Fyfe JC, Xie S-P, Dai X (2015) Decadal modulation of global surface temperature by internal climate variability. Nat Clim Change 5:555–559. doi: 10.1038/nclimate2605

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