If you made any changes in Pure, your changes will be visible here soon.

Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

  • 2 Similar Profiles
Earth sciences Engineering & Materials Science
Time series Engineering & Materials Science
general circulation model Earth & Environmental Sciences
oscillation Earth & Environmental Sciences
Drought Engineering & Materials Science
Climate change Engineering & Materials Science
sea level pressure Earth & Environmental Sciences
sea surface temperature Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2015 2017

Research Output 2001 2018

A cautionary note on decadal sea level pressure predictions from GCMs

Liess, S., Snyder, P. K., Kumar, A. & Kumar, V., Mar 1 2018, In : Advances in Climate Change Research. 9, 1, p. 43-56 14 p.

Research output: Contribution to journalArticle

sea level pressure
general circulation model
prediction
CMIP
train
6 Citations (Scopus)

A Teleconnection between the West Siberian Plain and the ENSO Region

Liess, S., Agrawal, S., Chatterjee, S. & Kumar, V., Jan 1 2017, In : Journal of Climate. 30, 1, p. 301-315

Research output: Contribution to journalArticle

3 Citations (Scopus)

Tripoles: A new class of relationships in time series data

Agrawal, S., Atluri, G., Karpatne, A., Haltom, W., Liess, S., Chatterjee, S. B. & Kumar, V., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 697-706 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
7 Citations (Scopus)

Exploring the predictability of 30-day extreme precipitation occurrence using a global SST-SLP correlation network

Lu, M., Lall, U., Kawale, J., Liess, S. & Kumar, V., Jan 1 2016, In : Journal of Climate. 29, 3, p. 1013-1029 17 p.

Research output: Contribution to journalArticle

sea level pressure
sea surface temperature
atmospheric moisture
reciprocity
atmospheric circulation

Understanding dominant factors for precipitation over the great lakes region

Chatterjee, S., Liess, S., Banerjee, A. & Kumar, V., Jan 1 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 3821-3827 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lakes
Feature extraction
Learning systems
Composite materials
Experiments

Press/Media

Spring in February: Why was this winter so warm? UMN experts weigh in.

Stefan Liess

2/27/17

1 item of Media coverage

Press/Media: Expert Comment