N. V. D. Giesen
Environmental Engineering · 2008–2021
A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 21 citations into it; #4,089 of 5,479 by trust here, #3,797 by citations
- Global and Planetary Change — 20 citations into it; #3,053 of 10,225 by trust here, #6,604 by citations
- Atmospheric Science — 18 citations into it; #1,486 of 4,804 by trust here, #2,873 by citations
- Water Science and Technology — 10 citations into it; #463 of 1,711 by trust here, #886 by citations
- Ocean Engineering — 8 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom N. V. D. Giesen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hirotugu Akaike
- Demetris Koutsoyiannis
- Hoshin V. Gupta
- Jasper A. Vrugt
- J. Bernardo
- Dmitri Kavetski
- G. Schoups
- C. T. ter Braak
- Branislav @. Nikoli
Who trusts N. V. D. Giesen overall
Papers from N. V. D. Giesen's perspective
Ordered by how strongly the researchers N. V. D. Giesen trusts endorse each paper. Same corpus, a different order for every researcher.
- Reconciling theory with observations: elements of a diagnostic approach to model evaluation
- Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
- A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall‐runoff modeling
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- HESS Opinions "A random walk on water"
- Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration
- A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
- Uncertainty, entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude, entropie, effet d'échelle et propriétés…
- A Mathematical Theory of Communication
- VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
Their papers
- The International Soil Moisture Network: serving Earth system science for over a decade (2021) — 429 citations
- Corruption of accuracy and efficiency of Markov chain Monte Carlo simulation by inaccurate numerical implementation of conceptual hydrologic models (2010) — 83 citations
- Kullback–Leibler Divergence as a Forecast Skill Score with Classic Reliability–Resolution–Uncertainty Decomposition (2010) — 97 citations
- Why hydrological predictions should be evaluated using information theory (2010) — 127 citations
- Monthly streamflow prediction in the Volta Basin of West Africa: A SISO NARMAX polynomial modelling (2008) — 59 citations