N. Folton
Water Science and Technology · 2017
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 7 citations into it
- Global and Planetary Change — 6 citations into it
Whom N. Folton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from N. Folton's perspective
Ordered by how strongly the researchers N. Folton trusts endorse each paper. Same corpus, a different order for every researcher.
- Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives
- Balance between calibration objectives in a conceptual hydrological model
- Multiobjective calibration with Pareto preference ordering: An application to rainfall‐runoff model calibration
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- Comparing expert judgement and numerical criteria for hydrograph evaluation
- A review of efficiency criteria suitable for evaluating low-flow simulations
- The influence of parametric uncertainty on the relationships between HBV model parameters and climatic characteristics
- Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
- Multi-objective global optimization for hydrologic models
- Effective and efficient global optimization for conceptual rainfall‐runoff models
Their papers
- Which objective function to calibrate rainfall–runoff models for low-flow index simulations? (2017) — 101 citations