Theory-guided data science: A new paradigm for scientific discovery from data
A Karpatne, G Atluri, JH Faghmous… - … on knowledge and …, 2017 - ieeexplore.ieee.org
Data science models, although successful in a number of commercial domains, have had
limited applicability in scientific problems involving complex physical phenomena. Theory …
limited applicability in scientific problems involving complex physical phenomena. Theory …
Spatio-temporal data mining for climate data: Advances, challenges, and opportunities
JH Faghmous, V Kumar - Data mining and knowledge discovery for big …, 2014 - Springer
Our planet is experiencing simultaneous changes in global population, urbanization, and
climate. These changes, along with the rapid growth of climate data and increasing …
climate. These changes, along with the rapid growth of climate data and increasing …
A big data guide to understanding climate change: The case for theory-guided data science
JH Faghmous, V Kumar - Big data, 2014 - liebertpub.com
Global climate change and its impact on human life has become one of our era's greatest
challenges. Despite the urgency, data science has had little impact on furthering our …
challenges. Despite the urgency, data science has had little impact on furthering our …
EddyNet: A deep neural network for pixel-wise classification of oceanic eddies
This work presents EddyNet, a deep learning based architecture for automated eddy
detection and classification from Sea Surface Height (SSH) maps provided by the …
detection and classification from Sea Surface Height (SSH) maps provided by the …
A daily global mesoscale ocean eddy dataset from satellite altimetry
Mesoscale ocean eddies are ubiquitous coherent rotating structures of water with radial
scales on the order of 100 kilometers. Eddies play a key role in the transport and mixing of …
scales on the order of 100 kilometers. Eddies play a key role in the transport and mixing of …
Southern O cean eddy phenomenology
Mesoscale eddies are ubiquitous features in the Southern Ocean, yet their phenomenology
is not well quantified. To tackle this task, we use satellite observations of sea level …
is not well quantified. To tackle this task, we use satellite observations of sea level …
[HTML][HTML] A parallel SLA-based algorithm for global mesoscale eddy identification
Y Liu, G Chen, M Sun, S Liu… - Journal of Atmospheric …, 2016 - journals.ametsoc.org
A Parallel SLA-Based Algorithm for Global Mesoscale Eddy Identification in: Journal of
Atmospheric and Oceanic Technology Volume 33 Issue 12 (2016) Jump to Content Jump to …
Atmospheric and Oceanic Technology Volume 33 Issue 12 (2016) Jump to Content Jump to …
Impacts of the efficiencies of identification and tracking algorithms on the statistical properties of global mesoscale eddies using merged altimeter data
F Tian, D Wu, L Yuan, G Chen - International Journal of Remote …, 2020 - Taylor & Francis
In this paper, 24 years of daily sea surface height (SSH) fields constructed by merging the
measurements from two/multiple simultaneously operating altimeters are analysed to …
measurements from two/multiple simultaneously operating altimeters are analysed to …
The influence of eddies on coral larval retention in the Flower Garden Banks
While coral larval exchange among reef patches is crucial to the persistence of coral
metapopulations, larval retention within patches is critical for local population maintenance …
metapopulations, larval retention within patches is critical for local population maintenance …
A parameter-free spatio-temporal pattern mining model to catalog global ocean dynamics
As spatio-temporal data have become ubiquitous, an increasing challenge facing computer
scientists is that of identifying discrete patterns in continuous spatio-temporal fields. In this …
scientists is that of identifying discrete patterns in continuous spatio-temporal fields. In this …