E. Garcia
Water Science and Technology · with Kavetski · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 15 citations into it
- Global and Planetary Change — 14 citations into it
- Environmental Engineering — 8 citations into it
Whom E. Garcia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from E. Garcia's perspective
Ordered by how strongly the researchers E. Garcia trusts endorse each paper. Same corpus, a different order for every researcher.
- Reconciling theory with observations: elements of a diagnostic approach to model evaluation
- Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors
- On sequential Monte Carlo sampling methods for Bayesian filtering
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Towards the characterization of streamflow simulation uncertainty through multimodel ensembles
- Uniqueness of place and process representations in hydrological modelling
- Pursuing the method of multiple working hypotheses for hydrological modeling
- Correcting the mathematical structure of a hydrological model via Bayesian data assimilation
- A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
- A framework for development and application of hydrological models (Hydrology and Earth System Sciences)