S
Stefan Liess
Researcher at University of Minnesota
Publications - 49
Citations - 729
Stefan Liess is an academic researcher from University of Minnesota. The author has contributed to research in topics: Climate change & Sea surface temperature. The author has an hindex of 17, co-authored 45 publications receiving 614 citations. Previous affiliations of Stefan Liess include State University of New York System & Stony Brook University.
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On the relationship between QBO and distribution of tropical deep convection
TL;DR: In this paper, the authors used a recent cluster analysis of 21.5 years of International Satellite Cloud Climatology Project tropical weather states to identify tropical deep convection and cirrus clouds.
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Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques
Auroop R. Ganguly,Evan Kodra,Ankit Agrawal,Arindam Banerjee,Shyam Boriah,Sn N. Chatterjee,So O. Chatterjee,Alok Choudhary,Debasish Das,James H. Faghmous,Poulomi Ganguli,Subimal Ghosh,Katharine Hayhoe,C. Hays,William Hendrix,Qiang Fu,Jaya Kawale,Devashish Kumar,Vipin Kumar,Wei-keng Liao,Stefan Liess,R. Mawalagedara,Varun Mithal,Robert J. Oglesby,Kaustubh Salvi,Peter K. Snyder,Karsten Steinhaeuser,D. Wang,Donald J. Wuebbles +28 more
TL;DR: In this article, the authors explore the possibility that physically cognizant mining of massive climate data may lead to significant advances in generating credible predictive insights about climate extremes and in turn translating them to actionable metrics and information for adaptation and policy.
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Use of dynamical downscaling to improve the simulation of Central U.S. warm season precipitation in CMIP5 models
TL;DR: In this article, the authors assess how well models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) simulate summer means, variability, extremes, and the diurnal cycle of Central U.S. rainfall.
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Predictability Studies of the Intraseasonal Oscillation with the ECHAM5 GCM
TL;DR: In this article, the authors analyzed the upper limit of potential predictability of the northern summer ISO, as it is simulated by the ECHAM5 atmospheric general circulation model forced with climatological SSTs.
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A graph‐based approach to find teleconnections in climate data
Jaya Kawale,Stefan Liess,Arjun Kumar,Michael Steinbach,Peter K. Snyder,Vipin Kumar,Auroop R. Ganguly,Nagiza F. Samatova,Fredrick H. M. Semazzi +8 more
TL;DR: A systematic graph‐based approach to find the teleconnections in climate data is presented, which can generate a single snapshot picture of all the dipole interconnections on the globe in a given dataset and thus makes it possible to study the changes in dipole interactions and movements.