M. Wan

Water Science and Technology · with O'Connor · 2009

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Wan trusts overall

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

  1. Keith Beven
  2. Hamid Moradkhani
  3. Jasper A. Vrugt
  4. Hoshin V. Gupta
  5. Soroosh Sorooshian
  6. Thorsten Wagener
  7. Bruce A. Robinson

Papers from M. Wan's perspective

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

  1. The future of distributed models: model calibration and uncertainty prediction.
  2. Bayesian recursive parameter estimation for hydrologic models
  3. A manifesto for the equifinality thesis
  4. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
  5. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
  6. Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE
  7. Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling
  8. Towards the characterization of streamflow simulation uncertainty through multimodel ensembles
  9. Dual state-parameter estimation of hydrological models using ensemble Kalman filter
  10. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology

Their papers