Florian Pappenberger

Global and Planetary Change · 2004–2020

A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 49 citations into it; #1,693 of 10,225 by trust here, #3,211 by citations
• Atmospheric Science — 31 citations into it; #1,540 of 4,804 by trust here, #2,465 by citations
• Water Science and Technology — 23 citations into it; #204 of 1,711 by trust here, #534 by citations
• Environmental Engineering — 17 citations into it

Whom Florian Pappenberger trusts overall

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

1. Keith Beven
2. A. Binley
3. Thorsten Wagener
4. Hannah L. Cloke
5. Hoshin V. Gupta
6. Michael K. Tippett
7. M. Roulston
8. K. Bogner
9. Francisco J. Doblas-Reyes
10. M. Trosset

Who trusts Florian Pappenberger overall

1. Keith Beven
2. Kerrie Tomkins
3. Louise Crochemore
4. Patrick Matgen
5. Martijn J. Booij
6. Roberta-Serena Blasone
7. Pierre Pinson
8. A. Binley
9. P. López
10. T. Krueger

Papers from Florian Pappenberger's perspective

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

1. Dalton Medal Lecture: How far can we go in distributed hydrological modelling?
2. The future of distributed models: model calibration and uncertainty prediction.
3. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
4. Bayesian recursive parameter estimation for hydrologic models
5. Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
6. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
7. Uniqueness of place and process representations in hydrological modelling
8. Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE
9. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system
10. The rationale behind the success of multi-model ensembles in seasonal forecasting-II

Their papers

• Plastic in global rivers: are floods making it worse? (2020) — 144 citations
• Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS (2018) — 510 citations
• The credibility challenge for global fluvial flood risk analysis (2016) — 210 citations
• The Monetary Benefit of Early Flood Warnings in Europe (2015) — 228 citations
• Ensemble flood forecasting: a review. (2009) — 1,065 citations
• Influence of uncertain boundary conditions and model structure on flood inundation predictions. (2006) — 393 citations
• Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations (2005) — 530 citations
• Functional classification and evaluation of hydrographs based on Multicomponent Mapping (Mx) (2004) — 51 citations