Lauren E. Hay

Water Science and Technology · 2006–2016

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

Subfields

• Water Science and Technology — 14 citations into it
• Environmental Engineering — 9 citations into it

Whom Lauren E. Hay trusts overall

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

1. Hoshin V. Gupta
2. Andrea Saltelli

Papers from Lauren E. Hay's perspective

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

1. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
2. Effective and efficient global optimization for conceptual rainfall‐runoff models
3. Sensitivity analysis practices: Strategies for model-based inference (Reliability Engineering & System Safety)
4. Multi-objective global optimization for hydrologic models
5. Reconciling theory with observations: elements of a diagnostic approach to model evaluation
6. A manifesto for the equifinality thesis
7. Optimal use of the SCE-UA global optimization method for calibrating watershed models
8. The NCEP–NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation
9. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
10. Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology

Their papers

• Towards simplification of hydrologic modeling: identification of dominant processes (2016) — 71 citations
• Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops (2006) — 441 citations