J. Lamontagne

Water Science and Technology · with Barber · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Lamontagne trusts overall

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

  1. Hoshin V. Gupta
  2. B. Schaefli
  3. Andreas Efstratiadis
  4. S. Pool
  5. H. Kling
  6. Demetris Koutsoyiannis
  7. M. Vis

Papers from J. Lamontagne's perspective

Ordered by how strongly the researchers J. Lamontagne 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. Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index
  3. Evaluation of the Nash-Sutcliffe Efficiency Index
  4. Do Nash values have value?
  5. One decade of multi-objective calibration approaches in hydrological modelling: a review
  6. On typical range, sensitivity, and normalization of Mean Squared Error and Nash‐Sutcliffe Efficiency type metrics
  7. Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency (Hydrological Sciences Journal)
  8. Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives
  9. The future of distributed models: model calibration and uncertainty prediction.
  10. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods

Their papers