Our research at the Sustainability & Data Sciences (SDS) Lab comprises two
primary themes: climate extremes and water sustainability (CEWS) as well as data sciences
for complex systems (DCCS). While the primary thrust of our research has been at the
intersection of the two areas, we have explored each from multiple perspectives.

Articles

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Spatio-temporal variability of daily and weekly precipitation extremes in South America (with Shiraj Khan, Gabriel Kuhn, David J. Erickson III, and George Ostrouchov), Civil and Environmental Engineering Faculty Publications (2007)

[1] Spatial and temporal variability of precipitation extremes are investigated by utilizing daily observations available...

 

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Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data (with Shiraj Khan, Sharba Bandyopadhyay, Sunil Saigal, David J. Erickson III, Vladimir Protopopescu, and George Ostrouchov), Civil and Environmental Engineering Faculty Publications (2007)

Commonly used dependence measures, such as linear correlation, cross-correlogram, or Kendall's τ, cannot capture the...