Funder
Engineering and Physical Sciences Research Council
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability
Reference38 articles.
1. Baker, A. H., Hammerling, D. M., Mickelson, S. A., Xu, H., Stolpe, M. B., Naveau, P., Sanderson, B., Ebert-Uphoff, I., Samarasinghe, S., De Simone, F. et al. (2016), ‘Evaluating lossy data compression on climate simulation data within a large ensemble’, Geoscientific Model Development
9(12), 4381.
2. Baker, A. H., Xu, H., Dennis, J. M., Levy, M. N., Nychka, D., Mickelson, S. A., Edwards, J., Vertenstein, M. and Wegener, A. (2014), A Methodology for Evaluating the Impact of Data Compression on Climate Simulation Data, in ‘Proceedings of the 23rd international symposium on High-performance parallel and distributed computing’, ACM HPDC ’14, pp. 203–214.
3. Box, G. E. P. and Cox, D. R. (1964), ‘An analysis of transformations’, Journal of the Royal Statistical Society. Series B (Methodological) pp. 211–252.
4. Branstator, G. and Teng, H. (2010), ‘Two limits of initial-value decadal predictability in a cgcm’, Journal of Climate
23(23), 6292–6311.
5. Castruccio, S. (2016), ‘Assessing the spatio-temporal structure of annual and seasonal surface temperature for cmip5 and reanalysis’, Spatial Statistics
18, 179–193.
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献