W
Walter Collischonn
Researcher at Universidade Federal do Rio Grande do Sul
Publications - 208
Citations - 5098
Walter Collischonn is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Streamflow & Hydrological modelling. The author has an hindex of 37, co-authored 196 publications receiving 4219 citations.
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The influence of vertical water balance on modelling Pantanal (Brazil) spatio‐temporal inundation dynamics
TL;DR: In this article, the effect of vertical water balance representation on modeling a large-scale floodplain was evaluated using a 1D/2D coupled model approach, which also considered the representation of the vertical water processes over the floodplain.
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Modeling the role of reservoirs versus floodplains on large-scale river hydrodynamics
Ayan Santos Fleischmann,Walter Collischonn,Rodrigo Cauduro Dias de Paiva,Carlos Eduardo Morelli Tucci +3 more
TL;DR: In this article, an adaptation of the MGB model to simulate reservoirs as an internal boundary condition, enabling the explicit simulation of hydrodynamic processes along reservoirs and their interaction with upstream and downstream floodplains in large basins.
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Integração do Modelo MGB-IPH com Sistema de Informação Geográfica
TL;DR: In this paper, a coupling between the MapWindow GIS platform and the MGB-IPH hydrological model is presented for the modeling of the Ijuí River basin (Southern Brazil).
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Hydrological reanalysis across the 20th century: A case study of the Amazon Basin
TL;DR: In this paper, a case study spanning back to the year 1900 using a large-scale hydrologic-hydrodynamic model (MGB) forced by a long-term climatic reanalysis of rainfall (ERA-20CM) with bias removed, and a data assimilation (DA) technique coupled with a localization method (LEnKF) to use several ground observations of daily discharge within a radius of influence.
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Issues of spatial correlation arising from the use of TRMM rainfall estimates in the Brazilian Amazon
TL;DR: In this paper, the Matern spatial correlation function with shape parameter κ = 1/2, giving an exponential correlation function, was found to be adequate for modeling spatial correlation, and the same issues arise whenever satellite-derived estimates of a component of the water cycle must be combined with ground-based measurements.