James D. Brown
Global and Planetary Change · 2004–2013
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 14 citations into it
- Environmental Engineering — 13 citations into it; #4,420 of 5,479 by trust here, #2,609 by citations
- Water Science and Technology — 11 citations into it; #1,249 of 1,711 by trust here, #998 by citations
- Atmospheric Science — 8 citations into it
- Civil and Structural Engineering — 8 citations into it
Whom James D. Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tilmann Gneiting
- Keith Beven
- Adrian E. Raftery
- V. Carey
- D. Wilks
- Vijay P. Singh
- K. Bogner
- Yuqiong Liu
- Hannah L. Cloke
- M. G. Schaap
Who trusts James D. Brown overall
Papers from James D. Brown's perspective
Ordered by how strongly the researchers James D. Brown trusts endorse each paper. Same corpus, a different order for every researcher.
- Using Bayesian Model Averaging to Calibrate Forecast Ensembles
- Probabilistic forecasts, calibration and sharpness
- Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
- Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation
- ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
- Integrated assessment and modelling: features, principles and examples for catchment management (Environmental Modelling & Software)
- Modelling guidelinesterminology and guiding principles
- Towards a coherent philosophy for modelling the environment (Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences)
- Computer Models of Watershed Hydrology
- Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support
Their papers
- Evaluation of a nonparametric post‐processor for bias correction and uncertainty estimation of hydrologic predictions (2013) — 62 citations
- Assessing uncertainty propagation through physically based models of soil water flow and solute transport (2006) — 94 citations
- A framework for dealing with uncertainty due to model structure error (2004) — 554 citations