T. Matthews

Global and Planetary Change · with Bastola · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Matthews trusts overall

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

  1. R. Davies-Jones
  2. Henrik Madsen
  3. Keith Beven
  4. Hirotugu Akaike
  5. B. Hansen
  6. Thorsten Wagener

Papers from T. Matthews's perspective

Ordered by how strongly the researchers T. Matthews 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. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
  4. A framework for development and application of hydrological models (Hydrology and Earth System Sciences)
  5. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
  6. Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling
  7. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives.
  8. Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments
  9. Multi-period and multi-criteria model conditioning to reduce prediction uncertainty in an application of TOPMODEL within the GLUE framework
  10. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

Their papers