Roberta-Serena Blasone
Water Science and Technology · 2008
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 24 citations into it; #1,429 of 1,711 by trust here, #857 by citations
- Global and Planetary Change — 17 citations into it; #8,539 of 10,225 by trust here, #5,787 by citations
- Environmental Engineering — 12 citations into it
- Ocean Engineering — 5 citations into it
Whom Roberta-Serena Blasone trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Keith Beven
- Jasper A. Vrugt
- Henrik Madsen
- Hoshin V. Gupta
- S. Christensen
- Soroosh Sorooshian
- Dmitri Kavetski
- P. Mugunthan
- Soon-Thiam Khu
- Hamid Moradkhani
Who trusts Roberta-Serena Blasone overall
- Jasper A. Vrugt
- Keith Beven
- Hilary K. McMillan
- Lihua Xiong
- Xiaoli Jin
- H. H. Franssen
- C. Broderick
- A. Binley
- I. Westerberg
- Chong-yu Xu
Papers from Roberta-Serena Blasone's perspective
Ordered by how strongly the researchers Roberta-Serena Blasone trusts endorse each paper. Same corpus, a different order for every researcher.
- The future of distributed models: model calibration and uncertainty prediction.
- Bayesian recursive parameter estimation for hydrologic models
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
- A manifesto for the equifinality thesis
- Inference from Iterative Simulation Using Multiple Sequences
- Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
- Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE
- Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations