Douglas Maraun
Global and Planetary Change · 2004–2020
A researcher in the Science corpus: 10 papers; trusts 9 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 74 citations into it; #1,040 of 10,225 by trust here, #4,400 by citations
- Atmospheric Science — 46 citations into it; #609 of 4,804 by trust here, #2,243 by citations
- Statistics and Probability — 20 citations into it
- Finance — 16 citations into it
- Artificial Intelligence — 8 citations into it
- Management Science and Operations Research — 5 citations into it; #7,720 of 11,946 by trust here, #11,360 by citations
Whom Douglas Maraun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stuart Coles
- C. Piani
- Jan O. Haerter
- Trevor J. Hastie
- Tim Bedford
- Ian T. Jolliffe
- Eric P. Smith
- Robert Tibshirani
- Petra Friederichs
- Roger M. Cooke
Who trusts Douglas Maraun overall
- Jakob Zscheischler
- R. Bonanno
- G. Wong
- S. Lange
- Yoann Robin
- Erich Fischer
- Mathieu Vrac
- Matteo Lacavalla
- M. Widmann
- S. Sperati
Papers from Douglas Maraun's perspective
Ordered by how strongly the researchers Douglas Maraun trusts endorse each paper. Same corpus, a different order for every researcher.
- An Introduction to Statistical Modeling of Extreme Values
- Statistical Precipitation Downscaling over the Northwestern United States Using Numerically Simulated Precipitation as a Predictor
- Statistical bias correction for daily precipitation in regional climate models over Europe
- Land–atmosphere coupling and climate change in Europe (Nature)
- An Introduction to Statistical Modeling of Extreme Values (Technometrics)
- The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework (Proceedings of the National Academy of Sciences of the United States of America)
- Vines: A new graphical model for dependent random variables
- Statistical downscaling of general circulation model output: A comparison of methods
- An Introduction to Copulas
- Monographs on statistics and applied probability
Their papers
- Cross-validation of bias-corrected climate simulations is misleading (2018) — 57 citations
- Tempting long-memory - on the interpretation of DFA results (2004) — 192 citations
- A typology of compound weather and climate events (2020) — 1,312 citations
- Increased probability of compound long-duration dry and hot events in Europe during summer (1950–2013) (2019) — 173 citations
- Storylines: an alternative approach to representing uncertainty in physical aspects of climate change (2018) — 625 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
- Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue (2013) — 322 citations
- Modelling seasonality in extreme precipitation (2009) — 57 citations