Yuqiong Liu
Global and Planetary Change · with Gupta · 2007–2012
A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 58 citations into it; #1,189 of 10,225 by trust here, #3,606 by citations
- Water Science and Technology — 53 citations into it; #43 of 1,711 by trust here, #312 by citations
- Environmental Engineering — 43 citations into it; #292 of 5,479 by trust here, #771 by citations
- Atmospheric Science — 25 citations into it
- Ocean Engineering — 14 citations into it; #237 of 3,193 by trust here, #261 by citations
- Artificial Intelligence — 8 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Yuqiong Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francisco J. Doblas-Reyes
- Hoshin V. Gupta
- Hamid Moradkhani
- R. Hagedorn
- Thorsten Wagener
- Soroosh Sorooshian
- Shlomo P. Neuman
- Tim N. Palmer
- Keith Beven
- M. Clark
Who trusts Yuqiong Liu overall
- Jasper A. Vrugt
- Hoshin V. Gupta
- Claudio Paniconi
- Tiangang Cui
- Xuesong Zhang
- M. Rajabi
- M. Clark
- Qizhi He
- Thorsten Wagener
- Mario Putti
Papers from Yuqiong Liu's perspective
Ordered by how strongly the researchers Yuqiong Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- The future of distributed models: model calibration and uncertainty prediction.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
- Maximum likelihood Bayesian averaging of uncertain model predictions
- Bayesian recursive parameter estimation for hydrologic models
- The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- The rationale behind the success of multi-model ensembles in seasonal forecasting-II
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
- Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
Their papers
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012) — 453 citations
- A formal framework for scenario development in support of environmental decision-making (2009) — 397 citations
- Reconciling theory with observations: elements of a diagnostic approach to model evaluation (2008) — 638 citations
- Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management (2008) — 414 citations
- Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework (2007) — 802 citations