EddyScan: A physically consistent ocean eddy monitoring application

By James H. Faghmous, L. Styles, Varun Mithal, Shyam Boriah, S. Liess, Vipin Kumar, Frode Vikebø, M. D. Mesquita. 2012

28 citations recorded by the source corpus.

Subfields: Atmospheric Science, Oceanography

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Anuj Karpatne
2. Vipin Kumar
3. Gowtham Atluri
4. Arindam Banerjee
5. Michael S. Steinbach
6. James H. Faghmous

In Oceanography

1. Anuj Karpatne
2. Vipin Kumar
3. James H. Faghmous
4. Matthew Le
5. Hung Nguyen

Citations in the corpus

• Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016, background): “For example, the use of physical principles to constrain spatiotemporal pattern mining algorithms has been explored in [81], [82] for finding ocean eddies from satellite data.”
• Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field (2014, background): “Finally, more recent studies employed an iterative-threshold approach to isolate closecontour anomalies from the background (Chelton, Schlax, and Samelson 2011; Faghmous et al. 2012).”