G. Gee
SSSA Book Series · with Or · 2003–2018
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom G. Gee trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Willem Bouten (in Water Science and Technology)
- Albrecht H. Weerts (in Water Science and Technology)
- Jasper A. Vrugt (in Civil and Structural Engineering)
Papers from G. Gee's perspective
Ordered by how strongly the researchers G. Gee trusts endorse each paper. Same corpus, a different order for every researcher.
- Information content of data for identifying soil hydraulic parameters from outflow experiments
- The future of distributed models: model calibration and uncertainty prediction.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Multi-objective global optimization for hydrologic models
- Inference from Iterative Simulation Using Multiple Sequences
- Bayesian recursive parameter estimation for hydrologic models
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- A framework for development and application of hydrological models (Hydrology and Earth System Sciences)
- Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model
- One‐, two‐, and three‐dimensional root water uptake functions for transient modeling
Their papers
- 2.4 Particle-Size Analysis (2018) — 469 citations
- Estimating Soil Hydraulic Parameters of a Field Drainage Experiment Using Inverse Techniques (2003) — 60 citations