Uwe Ehret

Global and Planetary Change · 2011–2015

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 23 citations into it; #3,211 of 10,225 by trust here, #4,831 by citations
• Water Science and Technology — 22 citations into it; #407 of 1,711 by trust here, #1,275 by citations
• Environmental Engineering — 14 citations into it

Whom Uwe Ehret trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hoshin V. Gupta
2. H. Kling
3. Koray K. Yilmaz
4. B. Schaefli
5. Florian Pappenberger

Who trusts Uwe Ehret overall

1. C. Onyutha
2. Hilary K. McMillan
3. I. Westerberg
4. Louise Crochemore
5. Yoann Robin
6. Hoshin V. Gupta
7. Charles Perrin

Papers from Uwe Ehret's perspective

Ordered by how strongly the researchers Uwe Ehret trusts endorse each paper. Same corpus, a different order for every researcher.

1. Do Nash values have value?
2. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
3. Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events
4. On typical range, sensitivity, and normalization of Mean Squared Error and Nash‐Sutcliffe Efficiency type metrics
5. Weighted Hamming distance for PUF performance evaluation
6. A refined index of model performance
7. Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments
8. Land–atmosphere coupling and climate change in Europe (Nature)
9. Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations (Journal of Computational Physics)
10. Why hydrological predictions should be evaluated using information theory

Their papers

• Comparing expert judgement and numerical criteria for hydrograph evaluation (2015) — 75 citations
• HESS Opinions "Should we apply bias correction to global and regional climate model data?" (2012) — 739 citations
• Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events (2011) — 86 citations