Yong Tang

Water Science and Technology · with Reed · 2009

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

Subfields

• Water Science and Technology — 8 citations into it

Whom Yong Tang trusts overall

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

1. Ilya M. Sobol

Papers from Yong Tang's perspective

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

1. Effective and efficient global optimization for conceptual rainfall‐runoff models
2. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
3. The future of distributed models: model calibration and uncertainty prediction.
4. Multi-objective global optimization for hydrologic models
5. Effective and efficient algorithm for multiobjective optimization of hydrologic models
6. A fast and elitist multiobjective genetic algorithm: NSGA-II
7. Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model
8. Reconciling theory with observations: elements of a diagnostic approach to model evaluation
9. Dynamically dimensioned search algorithm for computationally efficient watershed model calibration
10. A process‐based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

Their papers

• Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models (2009)