Ricardo Mantilla

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The JGrass-NewAge system for forecasting and managing the hydrological budgets at the basin scale: the models of flow generation, propagation, and aggregation G. Formetta, R. Mantilla, S. Franceschi, A. Antonello, and R. Rigon University of Trento, 77 Mesiano St., Trento, 38123, Italy The University of Iowa, C. Maxwell Stanley Hydraulics Laboratory, Iowa(More)
Riparian communities have been well-studied along individual streams, but not within the context of networks of which streams are a part. To study networks, hydrologists use Horton–Strahler ordering to assign streams to discrete categories in which increasing numerical value (ω) reflects increasing size of the stream and complexity of the network. A key use(More)
A recurrence plot is a two-dimensional visualization technique for sequential data. These plots are useful in that they bring out correlations at all scales in a manner that is obvious to the human eye, but their rich geometric structure can make them hard to interpret. In this paper, we suggest that the unstable periodic orbits embedded in a chaotic(More)
The estimation of spatial and temporal distributions of sensible (H) and latent (λET ) heat fluxes is a long standing challenge for hydrologic science. In this study, we present our experiences with the emerging method of scintillometry. Large Aperture Scintillometers (LAS) operating at optical wavelengths are employed to measure the sensible heat flux over(More)
The advent of satellite imagery, remote sensing products, and global scale numerical climate models over the last two decades has created an explosion of available gridded environmental data. These space-time explicit datasets are produced and distributed using different spatial and temporal resolutions. Current approaches for comparing two different(More)
We present a system of ordinary differential equations (ODEs) capable of reproducing simultaneously the aggregated behavior of changes in water storage in the hillslope surface, the unsaturated and the saturated soil layers and the channel that drains the hillslope. The system of equations can be viewed as a two-state integral-balance model for soil(More)
This paper documents our development and evaluation of a numerical solver for systems of sparsely linked ordinary differential equations in which the connectivity between equations is determined by a directed tree. These types of systems arise in distributed hydrological models. The numerical solver is based on dense output Runge–Kutta methods that allow(More)