Spatio-temporal data mining: A survey of problems and methods

G Atluri, A Karpatne, V Kumar - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

Machine learning for the geosciences: Challenges and opportunities

A Karpatne, I Ebert-Uphoff, S Ravela… - … on Knowledge and …, 2018 - ieeexplore.ieee.org
Geosciences is a field of great societal relevance that requires solutions to several urgent
problems facing our humanity and the planet. As geosciences enters the era of big data …

East Asia atmospheric river catalog: Annual cycle, transition mechanism, and precipitation

M Pan, M Lu - Geophysical Research Letters, 2020 - Wiley Online Library
Abstract An all‐season East Asia Atmospheric River (EA AR) catalog is constructed based
on PanLu2. 0. The annual cycle of EA AR exhibits eight stages, synchronizing with the …

A novel atmospheric river identification algorithm

M Pan, M Lu - Water Resources Research, 2019 - Wiley Online Library
In recent years, climatology, variability, hydrological impact, and climatic drivers of
atmospheric rivers (ARs) are widely explored based on various AR identification algorithms …

Topological clustering of multilayer networks

M Yuvaraj, AK Dey, V Lyubchich… - Proceedings of the …, 2021 - National Acad Sciences
Multilayer networks continue to gain significant attention in many areas of study, particularly
due to their high utility in modeling interdependent systems such as critical infrastructures …

Global Lagrangian tracking of continental precipitation recycling, footprints, and cascades

TF Cheng, M Lu - Journal of Climate, 2023 - journals.ametsoc.org
This study addresses how moisture in continental precipitation is recycled globally from a
moisture-tracking perspective. Using a state-of-the-art three-dimensional Lagrangian model …

Spatially coherent clusters of summer precipitation extremes in the Tibetan Plateau: Where is the moisture from?

Y Ma, M Lu, C Bracken, H Chen - Atmospheric Research, 2020 - Elsevier
Atmospheric moisture dynamics for extreme precipitation is poorly understood in the “Asian
water towers”. Using a new spatial clustering approach for extreme events, the Tibetan …

[HTML][HTML] The zonal oscillation and the driving mechanisms of the extreme western North Pacific subtropical high and its impacts on East Asian summer precipitation

TF Cheng, M Lu, L Dai - Journal of Climate, 2019 - journals.ametsoc.org
The Zonal Oscillation and the Driving Mechanisms of the Extreme Western North Pacific
Subtropical High and Its Impacts on East Asian Summer Precipitation in: Journal of Climate …

[PDF][PDF] Characterization of links between hydro-climate indices and long-term precipitation in Brazil using correlation analysis

J Giovannettone, F Paredes-Trejo, H Barbosa… - Int. J …, 2020 - researchgate.net
Some teleconnection patterns characterized through various hydro-climate indices (HCIs)
have been shown to influence regional rainfall regimes over a range of time scales in Brazil …

Summer monsoon rainfall patterns and predictability over Southeast China

L Dai, TF Cheng, M Lu - Water Resources Research, 2020 - Wiley Online Library
This study advances the use of the Self‐organizing Map (SOM) to identify the summer
monsoon rainfall patterns over Southeast China (SEC), using 272 gauge records from May …