P. Haygarth

Water Science and Technology · 2002–2010

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Haygarth trusts overall

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

  1. James W. Kirchner

Papers from P. Haygarth's perspective

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

  1. A manifesto for the equifinality thesis
  2. The future of distributed models: model calibration and uncertainty prediction.
  3. Fractal stream chemistry and its implications for contaminant transport in catchments (Nature)
  4. Bayesian calibration of computer models
  5. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
  6. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
  7. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
  8. Multi-model ensemble hydrologic prediction using Bayesian model averaging
  9. Maximum likelihood Bayesian averaging of uncertain model predictions
  10. An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation

Their papers