G
Gerrit Schoups
Researcher at Delft University of Technology
Publications - 59
Citations - 3095
Gerrit Schoups is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Groundwater & Water flow. The author has an hindex of 25, co-authored 55 publications receiving 2607 citations. Previous affiliations of Gerrit Schoups include Stanford University & University of California, Davis.
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A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors
TL;DR: In this paper, a generalized likelihood function is presented to estimate both the parameter and predictive uncertainty of hydrologic models, which can be used for handling complex residual errors in other models.
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Sustainability of irrigated agriculture in the San Joaquin Valley, California
Gerrit Schoups,Jan W. Hopmans,C.A. Young,Jasper A. Vrugt,Wesley W. Wallender,Ken K. Tanji,Sorab Panday +6 more
TL;DR: In this paper, the authors developed a hydro-salinity model to integrate subsurface hydrology with reactive salt transport for a 1,400-km2 study area in the San Joaquin Valley.
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Organic pollution of rivers: Combined threats of urbanization, livestock farming and global climate change.
TL;DR: The global sanitation crisis is quantified here for the first time through its impact on organic river pollution from the threats of increasing wastewater discharge due to urbanization and intensification of livestock farming, and reductions in river dilution capacity due to climate change and water extractions.
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Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications
TL;DR: Particle-DREAM as discussed by the authors combines the strengths of sequential Monte Carlo sampling and Markov chain Monte Carlo simulation and is especially designed for treatment of forcing, parameter, model structural and calibration data error.
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Gamma distribution models for transit time estimation in catchments: Physical interpretation of parameters and implications for time-variant transit time assessment
Markus Hrachowitz,Markus Hrachowitz,Chris Soulsby,Doerthe Tetzlaff,Iain A. Malcolm,Gerrit Schoups +5 more
TL;DR: In this paper, long-term tracer data from three contrasting catchments in the Scottish Highlands were used for a comparative assessment of interannual variability in TTDs and resulting mean transit times (MTT =??) inferred by the gamma distribution model.