Stefan Liess
Stefan Liess
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On the relationship between QBO and distribution of tropical deep convection
S Liess, MA Geller
Journal of Geophysical Research: Atmospheres 117 (D3), 2012
Use of dynamical downscaling to improve the simulation of Central US warm season precipitation in CMIP5 models
KJ Harding, PK Snyder, S Liess
Journal of Geophysical Research: Atmospheres 118 (22), 12,522-12,536, 2013
Impacts of deforestation and afforestation in the Mediterranean region as simulated by the MPI atmospheric GCM
LD Gates, S Liess
Global and Planetary Change 30 (3-4), 309-328, 2001
Predictability studies of the intraseasonal oscillation with the ECHAM5 GCM
S Liess, DE Waliser, SD Schubert
Journal of the atmospheric sciences 62 (9), 3320-3336, 2005
A graph‐based approach to find teleconnections in climate data
J Kawale, S Liess, A Kumar, M Steinbach, P Snyder, V Kumar, ...
Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (3 …, 2013
Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques
AR Ganguly, EA Kodra, A Agrawal, A Banerjee, S Boriah, S Chatterjee, ...
Nonlinear Processes in Geophysics 21 (4), 777-795, 2014
Drought detection of the last century: An MRF-based approach
Q Fu, A Banerjee, S Liess, PK Snyder
Proceedings of the 2012 SIAM International Conference on Data Mining, 24-34, 2012
Discovering interesting sub-paths in spatiotemporal datasets: A summary of results
X Zhou, S Shekhar, P Mohan, S Liess, PK Snyder
Proceedings of the 19th ACM SIGSPATIAL international conference on advances …, 2011
Eddyscan: A physically consistent ocean eddy monitoring application
JH Faghmous, L Styles, V Mithal, S Boriah, S Liess, V Kumar, F Vikebø, ...
2012 Conference on Intelligent Data Understanding, 96-103, 2012
The intraseasonal oscillation in ECHAM4 Part I: coupled to a comprehensive ocean model
S Liess, L Bengtsson, K Arpe
Climate Dynamics 22, 653-669, 2004
Testing the significance of spatio-temporal teleconnection patterns
J Kawale, S Chatterjee, D Ormsby, K Steinhaeuser, S Liess, V Kumar
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Anomaly construction in climate data: issues and challenges
J Kawale, S Chatterjee, A Kumar, S Liess, M Steinbach, V Kumar
InNASA Conference on Intelligent Data Understanding CIDU, 2011
High‐resolution climate projections over Minnesota for the 21st century
S Liess, TE Twine, PK Snyder, WD Hutchison, G Konar‐Steenberg, ...
Earth and Space Science 9 (3), e2021EA001893, 2022
Trend analysis using non-stationary time series clustering based on the finite element method
M Gorji Sefidmazgi, M Sayemuzzaman, A Homaifar, MK Jha, S Liess
Nonlinear Processes in Geophysics 21 (3), 605-615, 2014
The intraseasonal oscillation in ECHAM4 Part II: sensitivity studies
S Liess, L Bengtsson
Climate dynamics 22, 671-688, 2004
A teleconnection between the West Siberian Plain and the ENSO region
S Liess, S Agrawal, S Chatterjee, V Kumar
Journal of Climate 30 (1), 301-315, 2017
Data Guided Discovery of Dynamic Climate Dipoles.
J Kawale, S Liess, A Kumar, MS Steinbach, AR Ganguly, NF Samatova, ...
CIDU, 30-44, 2011
Exploring the predictability of 30-day extreme precipitation occurrence using a global SST–SLP correlation network
M Lu, U Lall, J Kawale, S Liess, V Kumar
Journal of Climate 29 (3), 1013-1029, 2016
Mining novel multivariate relationships in time series data using correlation networks
S Agrawal, M Steinbach, D Boley, S Chatterjee, G Atluri, AT Dang, S Liess, ...
IEEE Transactions on Knowledge and Data Engineering 32 (9), 1798-1811, 2019
Different modes of variability over the Tasman Sea: implications for regional climate
S Liess, A Kumar, PK Snyder, J Kawale, K Steinhaeuser, FHM Semazzi, ...
Journal of Climate 27 (22), 8466-8486, 2014
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