This paper summarizes the importance of climate on tropical wetlands. Regional hydrology
and carbon dynamics in many of these wetlands could shift with dramatic changes in these …

Ecohydrological systems may be characterized as nonlinear, complex, open dissipative
systems. Such systems consist of many coupled processes, and the couplings change …

Spatial data mining is the process of discovering interesting and previously unknown, but
potentially useful patterns from the spatial and spatiotemporal data. However, explosive …

Commonly used dependence measures, such as linear correlation, cross-correlogram, or
Kendall's τ, cannot capture the complete dependence structure in data unless the structure …

Private businesses in sectors, such as food, energy, and retail, as well as public sector and
federal agencies are interested in the predictive understanding of weather impacts on crop …

Abstract The El Niño Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea
surface temperature (SST) over the tropical central and eastern Pacific Ocean that …

The input variable selection problem has recently garnered much interest in the time series
modeling community, especially within water resources applications, demonstrating that …

To discover patterns in historical data, climate scientists have applied various clustering
methods with the goal of identifying regions that share some common climatological …

Closing the gap between theoretical reservoir operation and the real-world implementation
remains a challenge in contemporary reservoir operations. Past research has focused on …

Large rivers of the tropics, many of which have extensive floodplains and deltas, are
important in the delivery of nutrients and sediments to marine environments, in methane …