Peter Reichert

Water Science and Technology · 2001–2008

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Reichert trusts overall

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

  1. Qingyun Duan
  2. Keith Beven
  3. Soroosh Sorooshian
  4. K. C. Abbaspour
  5. Peter J. Brockwell
  6. John K. Kruschke
  7. Vinod Kumar Gupta
  8. Dmitri Kavetski
  9. George A. Kuczera
  10. Jasper A. Vrugt

Who trusts Peter Reichert overall

  1. Karline Soetaert
  2. Xuesong Zhang
  3. Lu Li
  4. Chong-yu Xu
  5. Xiaoli Jin
  6. Mei Sun
  7. Jing Yang
  8. Raghavan Srinivasan
  9. S. Moazami

Papers from Peter Reichert's perspective

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

  1. Effective and efficient global optimization for conceptual rainfall‐runoff models
  2. The future of distributed models: model calibration and uncertainty prediction.
  3. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
  4. Bayesian calibration of computer models
  5. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
  6. An Analysis of Transformations
  7. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
  8. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
  9. Optimal use of the SCE-UA global optimization method for calibrating watershed models
  10. Shuffled complex evolution approach for effective and efficient global minimization

Their papers