K. Engeland
Global and Planetary Change · 2002–2011
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 32 citations into it; #9,724 of 10,225 by trust here, #6,997 by citations
- Water Science and Technology — 30 citations into it; #264 of 1,711 by trust here, #1,033 by citations
- Environmental Engineering — 13 citations into it; #1,594 of 5,479 by trust here, #4,337 by citations
Whom K. Engeland trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Keith Beven
- A. Binley
- Dmitri Kavetski
- Jing Yang
- Hoshin V. Gupta
- George A. Kuczera
- Hubert W. Lilliefors
- Vijay P. Singh
Who trusts K. Engeland overall
- Lu Li
- Chong-yu Xu
- Jasper A. Vrugt
- Xiaoli Jin
- Carlo De Michele
- Zhangjun Liu
- C. T. ter Braak
- Jun Xia
- Shenglian Guo
- G. Salvadori
Papers from K. Engeland's perspective
Ordered by how strongly the researchers K. Engeland trusts endorse each paper. Same corpus, a different order for every researcher.
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
- Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
- Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
- A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall‐runoff modeling
- Multi-model ensemble hydrologic prediction using Bayesian model averaging
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Hydrological modelling of the Chaohe Basin in China: Statistical model formulation and Bayesian inference
- Inference from Iterative Simulation Using Multiple Sequences
- Bayesian analysis of input uncertainty in hydrological modeling: 2. Application
- Bayesian estimation of parameters in a regional hydrological model
Their papers
- Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models (2011) — 47 citations
- Evaluation of statistical models for forecast errors from the HBV model (2010) — 62 citations
- Practical Extreme Value Modelling of Hydrological Floods and Droughts: A Case Study (2004) — 143 citations
- Bayesian estimation of parameters in a regional hydrological model (2002) — 88 citations