What is he best known for?
The fields of study he is best known for:
- Statistics
- Meteorology
- Climate change
Florian Pappenberger mainly focuses on Flood myth, Flood forecasting, Meteorology, Climatology and Streamflow.
Florian Pappenberger has included themes like Probabilistic forecasting, Scale, Remote sensing and Operations research in his Flood myth study.
His study on Flood alert is often connected to Perception as part of broader study in Flood forecasting.
His research investigates the connection between Meteorology and topics such as Predictability that intersect with issues in Global Forecast System.
Florian Pappenberger interconnects Quantitative precipitation forecast and Precipitation in the investigation of issues within Climatology.
His work in Streamflow addresses subjects such as Surface runoff, which are connected to disciplines such as Drainage basin, Water resources and Sensitivity analysis.
His most cited work include:
- Ensemble flood forecasting: a review. (634 citations)
- Ignorance is bliss: Or seven reasons not to use uncertainty analysis (398 citations)
- Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations (334 citations)
What are the main themes of his work throughout his whole career to date?
Meteorology, Flood myth, Climatology, Flood forecasting and Precipitation are his primary areas of study.
His study brings together the fields of Surface runoff and Meteorology.
His research in Flood myth tackles topics such as Probabilistic logic which are related to areas like Operations research.
His Climatology study combines topics from a wide range of disciplines, such as Drainage basin, Streamflow, Predictability and Lead time.
The Flood forecasting study combines topics in areas such as 100-year flood, Flood warning and Environmental resource management.
His biological study spans a wide range of topics, including Econometrics and Consensus forecast.
He most often published in these fields:
- Meteorology (47.47%)
- Flood myth (46.02%)
- Climatology (42.17%)
What were the highlights of his more recent work (between 2017-2021)?
- Climatology (42.17%)
- Flood myth (46.02%)
- Meteorology (47.47%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Climatology, Flood myth, Meteorology, Precipitation and Environmental planning.
His study in Climatology is interdisciplinary in nature, drawing from both Scale, Streamflow, Predictability and Seasonality.
A large part of his Flood myth studies is devoted to Flood forecasting.
His Meteorology research is multidisciplinary, relying on both Sample and Flash flood.
His work carried out in the field of Precipitation brings together such families of science as Drainage basin, Mediterranean climate, Remote sensing and Water resources.
His work is dedicated to discovering how Environmental planning, Natural hazard are connected with Cartogram and other disciplines.
Between 2017 and 2021, his most popular works were:
- Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS (110 citations)
- Assessing heat-related health risk in Europe via the Universal Thermal Climate Index (UTCI) (50 citations)
- Satellite and in situ observations for advancing global earth surface modelling: A review (47 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Meteorology
- Climate change
Florian Pappenberger spends much of his time researching Meteorology, Flood myth, Climatology, Numerical weather prediction and Remote sensing.
His work on Forecast skill, Sky and Fire emission as part of general Meteorology study is frequently linked to Fire weather index and Radiative transfer, bridging the gap between disciplines.
He focuses mostly in the field of Forecast skill, narrowing it down to topics relating to Surface runoff and, in certain cases, Climate change.
The study incorporates disciplines such as Floodplain, Flooding, Water resource management, Scale and Discharge in addition to Flood myth.
His Climatology study combines topics in areas such as Climate risk management and Seasonality.
His Numerical weather prediction research incorporates elements of Atmosphere, Predictability, Hydrology, Focus and Data assimilation.
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