Shu-guang Liu

Global and Planetary Change · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 15 citations into it
• Water Science and Technology — 12 citations into it

Whom Shu-guang Liu trusts overall

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

1. Henrik Madsen

Papers from Shu-guang Liu's perspective

Ordered by how strongly the researchers Shu-guang Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives.
2. Inference from Iterative Simulation Using Multiple Sequences
3. Effective and efficient global optimization for conceptual rainfall‐runoff models
4. The future of distributed models: model calibration and uncertainty prediction.
5. Multi-objective global optimization for hydrologic models
6. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
7. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
8. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
9. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
10. Bayesian recursive parameter estimation for hydrologic models

Their papers

• Modified Mann-Kendall trend test for hydrological time series under the scaling hypothesis and its application (2020) — 131 citations
• Improvement of hydrological model calibration by selecting multiple parameter ranges (2016) — 46 citations