D
Dario Del Giudice
Researcher at North Carolina State University
Publications - 23
Citations - 491
Dario Del Giudice is an academic researcher from North Carolina State University. The author has contributed to research in topics: Hypoxia (environmental) & Eutrophication. The author has an hindex of 10, co-authored 22 publications receiving 360 citations. Previous affiliations of Dario Del Giudice include ETH Zurich & Swiss Federal Institute of Aquatic Science and Technology.
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Journal ArticleDOI
Improving uncertainty estimation in urban hydrological modeling by statistically describing bias
Dario Del Giudice,Dario Del Giudice,Mark Honti,Andreas Scheidegger,Carlo Albert,Peter Reichert,Peter Reichert,Jörg Rieckermann +7 more
TL;DR: A structured approach to select, among five variants, the optimal bias de- scription for a given urban or natural case study and results clearly show that flow simulations are much more reliable when bias is accounted for than when it is neglected.
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Long-Term Phosphorus Loading and Springtime Temperatures Explain Interannual Variability of Hypoxia in a Large Temperate Lake.
TL;DR: It is found that a linear combination of decadal total phosphorus loading from tributaries and springtime air temperatures explains a high proportion of the interannual variability in average summertime hypoxic extent, which suggests that the lake responds primarily to long-term variations in phosphorus inputs, rather than springtime or annual loading as previously assumed.
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Describing the catchment‐averaged precipitation as a stochastic process improves parameter and input estimation
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Model bias and complexity - Understanding the effects of structural deficits and input errors on runoff predictions
TL;DR: The method consists of formulating alternative models with increasing detail and flexibility and describing their systematic deviations by an autoregressive bias process, and shows that a single bias description produces reliable predictions for all models.
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Parsimonious hydrological modeling of urban sewer and river catchments
TL;DR: In this paper, a parsimonious model of flow capable of simulating flow in natural/engineered catchments and at WWTP (Wastewater Treatment Plant) inlets was developed.