Physics-driven data mining in climate change and weather extremes
Physics-driven data mining in climate change and weather extremes
Editor(s): A. Ganguly, V. Mishra, D. Wang, W. Hsieh, F. Hoffman, V. Kumar, and J. Kurths More information

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13 Jan 2015
On the data-driven inference of modulatory networks in climate science: an application to West African rainfall
D. L. González II, M. P. Angus, I. K. Tetteh, G. A. Bello, K. Padmanabhan, S. V. Pendse, S. Srinivas, J. Yu, F. Semazzi, V. Kumar, and N. F. Samatova
Nonlin. Processes Geophys., 22, 33–46, https://doi.org/10.5194/npg-22-33-2015,https://doi.org/10.5194/npg-22-33-2015, 2015
01 Dec 2014
Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling
D. Das, J. Dy, J. Ross, Z. Obradovic, and A. R. Ganguly
Nonlin. Processes Geophys., 21, 1145–1157, https://doi.org/10.5194/npg-21-1145-2014,https://doi.org/10.5194/npg-21-1145-2014, 2014
28 Nov 2014
Instability and change detection in exponential families and generalized linear models, with a study of Atlantic tropical storms
Y. Lu and S. Chatterjee
Nonlin. Processes Geophys., 21, 1133–1143, https://doi.org/10.5194/npg-21-1133-2014,https://doi.org/10.5194/npg-21-1133-2014, 2014
12 Sep 2014
Logit-normal mixed model for Indian monsoon precipitation
L. R. Dietz and S. Chatterjee
Nonlin. Processes Geophys., 21, 939–953, https://doi.org/10.5194/npg-21-939-2014,https://doi.org/10.5194/npg-21-939-2014, 2014
07 Aug 2014
Fractal dimensions of wildfire spreading
S.-L. Wang, H.-I. Lee, and S.-P. Li
Nonlin. Processes Geophys., 21, 815–823, https://doi.org/10.5194/npg-21-815-2014,https://doi.org/10.5194/npg-21-815-2014, 2014
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
Nonlin. Processes Geophys., 21, 777–795, https://doi.org/10.5194/npg-21-777-2014,https://doi.org/10.5194/npg-21-777-2014, 2014
23 May 2014
Trend analysis using non-stationary time series clustering based on the finite element method
M. Gorji Sefidmazgi, M. Sayemuzzaman, A. Homaifar, M. K. Jha, and S. Liess
Nonlin. Processes Geophys., 21, 605–615, https://doi.org/10.5194/npg-21-605-2014,https://doi.org/10.5194/npg-21-605-2014, 2014
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