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.
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.
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.
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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Ensemble flood forecasting: a review.
Hannah Cloke;F. Pappenberger.
Journal of Hydrology (2009)
Ignorance is bliss: Or seven reasons not to use uncertainty analysis
F. Pappenberger;Keith J. Beven.
Water Resources Research (2006)
Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
F. Pappenberger;Keith J. Beven;M. Horritt;S. Blazkova.
Journal of Hydrology (2005)
ERA-Interim/Land: a global land surface reanalysis data set
G. Balsamo;C. Albergel;A. Beljaars;S. Boussetta.
Hydrology and Earth System Sciences (2015)
Influence of uncertain boundary conditions and model structure on flood inundation predictions.
Florian Pappenberger;Patrick Matgen;Keith J. Beven;Jean-Baptiste Henry.
Advances in Water Resources (2006)
Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS)
F. Pappenberger;K. J. Beven;N. M. Hunter;Paul D Bates.
Hydrology and Earth System Sciences (2005)
GloFAS – global ensemble streamflow forecasting and flood early warning
L. Alfieri;P. Burek;E. Dutra;B. Krzeminski.
Hydrology and Earth System Sciences (2013)
Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
Hylke E. Beck;Noemi Vergopolan;Ming Pan;Vincenzo Levizzani.
Hydrology and Earth System Sciences (2017)
Progress in integration of remote sensing– derived flood extent and stage data and hydraulic models
Guy Schumann;Paul D. Bates;Matthew S. Horritt;Patrick Matgen.
Reviews of Geophysics (2009)
Development of a European flood forecasting system
Ad P.J. de Roo;Ben Gouweleeuw;Jutta Thielen;Jens Bartholmes.
International Journal of River Basin Management (2003)
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