M. Widmann

Global and Planetary Change · 2001–2019

A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 54 citations into it; #3,039 of 10,225 by trust here, #5,357 by citations
• Atmospheric Science — 37 citations into it; #2,301 of 4,804 by trust here, #2,465 by citations
• Statistics and Probability — 16 citations into it
• Finance — 8 citations into it
• Artificial Intelligence — 6 citations into it
• Management Science and Operations Research — 5 citations into it; #7,727 of 11,946 by trust here, #11,360 by citations

Whom M. Widmann trusts overall

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

1. Stuart Coles
2. Douglas Maraun
3. Tim Bedford
4. Jakob Zscheischler
5. M. Delignette-Muller
6. Ian T. Jolliffe
7. Eric P. Smith
8. F. Serinaldi

Who trusts M. Widmann overall

1. Hayley J. Fowler
2. A. Busuioc
3. H. Feddersen
4. Yoann Robin
5. Stephen Blenkinsop
6. R. Tomozeiu
7. Mathieu Vrac

Papers from M. Widmann's perspective

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

1. An Introduction to Statistical Modeling of Extreme Values
2. The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework (Proceedings of the National Academy of Sciences of the United States of America)
3. Dependence of drivers affects risks associated with compound events (Science Advances)
4. An Introduction to Copulas
5. An Introduction to Statistical Modeling of Extreme Values (Technometrics)
6. Vines: A new graphical model for dependent random variables
7. Europe-wide reduction in primary productivity caused by the heat and drought in 2003 (Nature)
8. Land–atmosphere coupling and climate change in Europe (Nature)
9. Statistical Precipitation Downscaling over the Northwestern United States Using Numerically Simulated Precipitation as a Predictor
10. Spatial‐temporal rainfall simulation using generalized linear models

Their papers

• Cross-validation of bias-corrected climate simulations is misleading (2018) — 57 citations
• Increased probability of compound long-duration dry and hot events in Europe during summer (1950–2013) (2019) — 173 citations
• Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy) (2017) — 329 citations
• An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment (2016) — 256 citations
• Stochastic Model Output Statistics for Bias Correcting and Downscaling Precipitation Including Extremes (2014) — 60 citations
• Statistical Precipitation Downscaling over the Northwestern United States Using Numerically Simulated Precipitation as a Predictor (2003) — 319 citations
• Regional Climate Information—Evaluation and Projections (2001) — 618 citations