I. La Jeunesse

Water Science and Technology · 2013

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom I. La Jeunesse trusts overall

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

  1. Keith Beven
  2. Qingyun Duan
  3. Jasper A. Vrugt
  4. Misgana K. Muleta
  5. K. C. Abbaspour
  6. Newsha K. Ajami
  7. Soroosh Sorooshian
  8. Satish Bastola

Papers from I. La Jeunesse's perspective

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

  1. Effective and efficient global optimization for conceptual rainfall‐runoff models
  2. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
  3. The future of distributed models: model calibration and uncertainty prediction.
  4. A manifesto for the equifinality thesis
  5. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
  6. Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging
  7. Estimating Uncertain Flow and Transport Parameters Using a Sequential Uncertainty Fitting Procedure
  8. Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model
  9. Regionalisation of hydrological model parameters under parameter uncertainty : A case study involving TOPMODEL and basins across the globe
  10. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters

Their papers