Yangming Jiang
Water Science and Technology · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 8 citations into it
- Global and Planetary Change — 6 citations into it
Whom Yangming Jiang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Henrik Madsen (in Water Science and Technology)
Papers from Yangming Jiang's perspective
Ordered by how strongly the researchers Yangming Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Automatic calibration of a conceptual rainfall-runoff model using multiple objectives.
- Inference from Iterative Simulation Using Multiple Sequences
- The future of distributed models: model calibration and uncertainty prediction.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Multi-objective global optimization for hydrologic models
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
- A Simplex Method for Function Minimization
- Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model
- Bayesian recursive parameter estimation for hydrologic models
Their papers
- Improvement of hydrological model calibration by selecting multiple parameter ranges (2016) — 46 citations