Articles | Volume 21, issue 4
https://doi.org/10.5194/npg-21-777-2014
https://doi.org/10.5194/npg-21-777-2014
Research article
 | 
28 Jul 2014
Research article |  | 28 Jul 2014

Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques

A. R. Ganguly, E. A. Kodra, A. Agrawal, A. Banerjee, S. Boriah, Sn. Chatterjee, So. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. Ganguli, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W. Liao, S. Liess, R. Mawalagedara, V. Mithal, R. Oglesby, K. Salvi, P. K. Snyder, K. Steinhaeuser, D. Wang, and D. Wuebbles

Viewed

Total article views: 9,401 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,240 3,827 334 9,401 323 380
  • HTML: 5,240
  • PDF: 3,827
  • XML: 334
  • Total: 9,401
  • BibTeX: 323
  • EndNote: 380
Views and downloads (calculated since 14 Feb 2014)
Cumulative views and downloads (calculated since 14 Feb 2014)

Cited

Saved (final revised paper)

Saved (final revised paper)

Discussed (final revised paper)

Latest update: 18 Oct 2025
Download
Share