Wout Knoben

Water Science and Technology · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wout Knoben trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Hoshin V. Gupta
  2. B. Schaefli

Papers from Wout Knoben's perspective

Ordered by how strongly the researchers Wout Knoben trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
  2. Reconciling theory with observations: elements of a diagnostic approach to model evaluation
  3. Do Nash values have value?
  4. Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency (Hydrological Sciences Journal)
  5. On the choice of calibration metrics for “high-flow” estimation using hydrologic models (Hydrology and Earth System Sciences)
  6. The future of distributed models: model calibration and uncertainty prediction.
  7. Effective and efficient global optimization for conceptual rainfall‐runoff models
  8. Bayesian recursive parameter estimation for hydrologic models
  9. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  10. An Analysis of Transformations

Their papers