Climate Computing: The State of Play

Computing in Science and Engineering

Volumn 17, Issue 6, 2015, Pages 9-13

  Balaji, V ^a  

^a PRINCETON UNIVERSITY   (United States)

Author keywords

big data; climate science; Earth system science; high performance computing; HPC; Scientific computing

Indexed keywords

BIG DATA; CLIMATE CHANGE; EARTH (PLANET); NATURAL SCIENCES COMPUTING; SIGNAL PROCESSING; STOCHASTIC SYSTEMS;

CLIMATE SCIENCE; COMPUTATIONAL PERFORMANCE; EARTH SYSTEM SCIENCE; HIGH PERFORMANCE COMPUTING; HPC; INITIAL CONDITIONS; MULTI-SCALE MODELING; PROGRAMMING MODELS;

CLIMATE MODELS;

EID: 84946733133     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2015.109     Document Type: Conference Paper

References (28)

1. V. Balaji, "Scientific Computing in the Age of Complexity," Crossroads, vol. 19, no. 3, 2013, pp. 12-17.
2. G.W. Platzman, "The ENIAC Computations of 1950: Gateway to Numerical Weather Prediction," Bulletin Am. Meteorological Soc., vol. 60, no. 4, 1979, pp. 302-312.
3. N.A. Phillips, "The General Circulation of the Atmosphere: A Numerical Experiment," Quarterly J. Royal Meteorological Soc., vol. 82, no. 352, 1956, pp. 123-164.
4. S. Manabe and R.T. Wetherald, "The Effects of Doubling the CO2 Concentration on the Climate of a General Circulation Model," J. Atmospheric Sciences, vol. 32, 1975, pp. 3-15.
5. S. Manabe and K. Bryan, "Climate Calculations with a Combined Ocean-Atmosphere Model," J. Atmospheric Sciences, vol. 26, no. 4, 1969, pp. 786-789.
6. J. Ruttimann, "2020 Computing: Milestones in Scientific Computing," Nature, vol. 440, no. 7083, 2006, pp. 399-405.
7. E.N. Lorenz, "On the Predictability of Hydrodynamic Flow," Trans. New York Academy Sciences, vol. 25, no. 2, 1963, pp. 409-432.
8. A.A. Chien and V. Karamcheti, "Moore's Law: The First Ending and a New Beginning," Computer, Dec. 2013, pp. 48-53.
9. J.E. Lovelock and L. Margulis, "Atmospheric Homeostasis by and for the Biosphere: The Gaia Hypothesis," Tellus, vol. 26, nos. 1-2, 1974, pp. 2-10.
10. J. Overpeck et al., "Climate Data Challenges in the 21st Century," Science, vol. 331, no. 6018, 2011, p. 700.
11. C.G. Knight et al., "Association of Parameter, Software, and Hardware Variation with Large-Scale Behavior across 57,000 Climate Models," Proc. Nat' l Academy of Sciences, vol. 104, no. 30, 2007, pp. 12259-12264.
12. T. Reichler and J. Kim, "How Well Do Coupled Models Simulate Today's Climate," Bulletin Am. Meteorological Soc., vol. 89, no. 3, 2008, pp. 303-312.
13. D. Masson and R. Knutti, "Climate Model Genealogy," Geophysical Research Letters, vol. 38, no. 8, 2011, p. L08703.
14. P. Edwards, A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming, MIT Press, 2010.
15. S. Mittal and J.S. Vetter, "A Survey of CPU-GPU Heterogeneous Computing Techniques," to be published in ACM Computing Surveys, 2015.
16. M. Govett, J. Middlecoff, and T. Henderson, "Directive-Based Parallelization of the NIM Weather Model for GPUs," Proc. 1st Workshop Accelerator Programming Using Directives, 2014, pp. 55-61.
17. M.J. Iacono, D. Berthiaume, and J. Michalakes, "Enhancing Efficiency of the RRTMG Radiation Code with GPU and MIC Approaches for Numerical Weather Prediction Models," Proc. 14th Conf. Atmospheric Radiation, 2014, p. 156.
18. O. Fuhrer et al., "Towards a Performance Portable, Architecture Agnostic Implementation Strategy for Weather and Climate Models," Supercomputing Frontiers and Innovations, vol. 1, no. 1, 2014; http://superfri.org/superfri/article/view/17.
19. R. Ford et al., "Towards Performance Portability with GungHo," EGU General Assembly Conf. Abstracts, vol. 16, May 2014, p. 13243.
20. D.N. Williams et al., "The Earth System Grid Federation: Delivering Globally Accessible Petascale Data for CMIP5," Proc. 32nd Asia-Pacific Advanced Network Meeting, 2011, pp. 121-130.
21. K.E. Taylor, R.J. Stouffer, and G.A. Meehl, "An Overview of CMIP5 and the Experiment Design," Bull. Am. Meteorological Soc., vol. 93, no. 4, 2012, pp. 485-498.
22. V. Balaji, S. Ansari, and A. Radhakrishnan, "Deploying User-Developed Scientific Analyses on Federated Data Archives," AGU Fall Meeting Abstracts, vol. 1, 2011, p. 1.
23. F. Laliberte et al., "Can the ExArch Framework Facilitate the Computation of Stormtracks Statistics in a Petabyte Archive," EGU General Assembly Conf. Abstracts, vol. 14, 2012, p. 13136.
24. E. Guilyardi et al., "The CMIP5 Model and Simulation Documentation: A New Standard for Climate Modelling Metadata," CLIVAR Exchanges, vol. 56, 2011, pp. 42-46.
25. N. Gorelick, "Google Earth Engine," AGU Fall Meeting Abstracts, vol. 1, 2012, p. 4.
26. R.L. Wilby and T.M.L. Wigley, "Downscaling General Circulation Model Output: A Review of Methods and Limitations," Progress in Physical Geography, vol. 21, no. 4, 1997, pp. 530-548.
27. R.E. Benestad, I. Hanssen-Bauer, and D. Chen, Empirical-Statistical Downscaling, World Scientific, 2008.
28. P. Korkmaz et al., "Advocating Noise as an Agent for Ultra Low-Energy Computing: Probabilistic CMOS Devices and Their Characteristics," Japanese J. Applied Physics, vol. 1, 2006, pp. 3307-3316.