Sampling biases in CMIP5 decadal forecasts-Reference-Cited by-同舟云学术

Sampling biases in CMIP5 decadal forecasts

Published:2016-04-14 Issue:7 Volume:121 Page:3435-3445
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Choudhury Dipayan¹²,Sharma Ashish¹,Sen Gupta Alexander²³,Mehrotra Rajeshwar¹,Sivakumar Bellie¹⁴

Affiliation:

1. School of Civil and Environmental Engineering University of New South Wales Kensington New South Wales Australia

2. ARC Centre of Excellence for Climate System Science University of New South Wales Kensington New South Wales Australia

3. Climate Change Research Centre University of New South Wales Kensington New South Wales Australia

4. Department of Land, Air and Water Resources University of California Davis California USA

Funder

Australian Research Council

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2016JD024804

Reference32 articles.

1. Impact of climate change on floods in the Brahmaputra basin using CMIP5 decadal predictions

2. El Nino/Southern Oscillation and Australian rainfall, streamflow and drought: Links and potential for forecasting

3. Relationship between the Pacific and Atlantic stepwise climate change during the 1990s

4. On the predictability of SSTA indices from CMIP5 decadal experiments

5. Doblas‐Reyes F. A.Weisheimer T. N.Palmer J. M.Murphy andD.Smith(2010) Forecast quality assessment of the ENSEMBLES seasonal‐to‐decadal Stream 2 hindcasts European Centre for Medium‐Range Weather Forecasts.

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