Using grid technologies to optimise a wireless sensor network for flood management. - Danny Hughes 001; Phil Greenwood; Barry Porter; Paul Grace; Geoff Coulson; Gordon S. Blair; François Taïani; Florian Pappenberger; Paul Smith; Keith J. Beven (SenSys, 2006)

Sensitivity analysis based on regional splits and regression trees (SARS-RT). - Florian Pappenberger; Ion Iorgulescu; Keith J. Beven (Environ. Model. Softw., 2006)

High-Resolution 3-D Flood Information From Radar Imagery for Flood Hazard Management. - Guy J.-P. Schumann; Renaud Hostache; Christian Puech; Lucien Hoffmann; Patrick Matgen; Florian Pappenberger; Laurent Pfister (IEEE Trans. Geosci. Remote. Sens., 2007)

An experiment with reflective middleware to support grid-based flood monitoring. - Danny Hughes 001; Phil Greenwood; Gordon S. Blair; Geoff Coulson; Paul Grace; Florian Pappenberger; Paul Smith; Keith J. Beven (Concurr. Comput. Pract. Exp., 2008)

Conditioning Water Stages From Satellite Imagery on Uncertain Data Points. - Guy J.-P. Schumann; Patrick Matgen; Florian Pappenberger (IEEE Geosci. Remote. Sens. Lett., 2008)

Quality control, validation and user feedback of the European Flood Alert System (EFAS). - Ad De Roo; Jutta Thielen; Peter Salamon; Konrad Bogner; Sebastien Nobert; Hannah L. Cloke; David Demeritt; Jalal Younis; Milan Kalas; Katalin Bódis; Davide Muraro; Florian Pappenberger (Int. J. Digit. Earth, 2011)

Flood hazard mapping combining high resolution multi-temporal SAR data and coarse resolution global hydrodynamic modelling. - Marco Chini; Laura Giustarini; Patrick Matgen; Renaud Hostache; Florian Pappenberger; Philippe Bally (IGARSS, 2014)

Flood Hazard Mapping Combining Hydrodynamic Modeling and Multi Annual Remote Sensing data. - Laura Giustarini; Marco Chini; Renaud Hostache; Florian Pappenberger; Patrick Matgen (Remote. Sens., 2015)

On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions. - Beatriz Revilla Romero; Feyera A. Hirpa; Jutta Thielen-del Pozo; Peter Salamon; G. Robert Brakenridge; Florian Pappenberger; Tom De Groeve (Remote. Sens., 2015)

Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level. - Anna Kauffeldt; Fredrik Wetterhall; Florian Pappenberger; Peter Salamon; Jutta Thielen (Environ. Model. Softw., 2016)

Fast Retrieval of Weather Analogues in a Multi-petabytes Archive Using Wavelet-Based Fingerprints. - Baudouin Raoult; Giuseppe Di Fatta; Florian Pappenberger; Bryan Lawrence (ICCS (2), 2018)

Interoperability challenges in river discharge modelling: A cross domain application scenario. - Mattia Santoro; Volker Andres; Simon Jirka; Toshio Koike; Ulrich Looser; Stefano Nativi; Florian Pappenberger; Manuela Schlummer; Adrian Strauch; Michael Utech; Ervin Zsoter (Comput. Geosci., 2018)

Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. - Gianpaolo Balsamo; Anna Agustì-Parareda; Clément Albergel; Gabriele Arduini; Anton Beljaars; Jean Bidlot; Nicolas Bousserez; Souhail Boussetta; Andy Brown; Roberto Buizza; Carlo Buontempo; Frédéric Chevallier; et al. (Remote. Sens., 2018)

An evaluation of ECMWF SEAS5 seasonal climate forecasts for Australia using a new forecast calibration algorithm. - Quan J. Wang; Yawen Shao; Yong Song; Andrew Schepen; David E. Robertson; Dongryeol Ryu; Florian Pappenberger (Environ. Model. Softw., 2019)

Correction: Balsamo, G., et al. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing 2018, 10, 2038. - Gianpaolo Balsamo; Anna Agustì-Parareda; Clément Albergel; Gabriele Arduini; Anton Beljaars; Jean Bidlot; Eleanor Blyth; Nicolas Bousserez; Souhail Boussetta; Andy Brown; Roberto Buizza; Carlo Buontempo; et al. (Remote. Sens., 2019)

Thermofeel: A python thermal comfort indices library. - Chloe Brimicombe; Claudia Di Napoli; Tiago Quintino; Florian Pappenberger; Rosalind Cornforth; Hannah L. Cloke (SoftwareX, 2022)

AI Increases Global Access to Reliable Flood Forecasts. - Grey Nearing; Deborah Cohen; Vusumuzi Dube; Martin Gauch; Oren Gilon; Shaun Harrigan; Avinatan Hassidim; Frederik Kratzert; Asher Metzger; Sella Nevo; Florian Pappenberger; Christel Prudhomme; et al. (CoRR, 2023)

Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators. - Marieke Wesselkamp; Matthew Chantry; Ewan Pinnington; Margarita Choulga; Souhail Boussetta; Maria Kalweit; Joschka Boedecker; Carsten F. Dormann; Florian Pappenberger; Gianpaolo Balsamo (CoRR, 2024)

Robustness of AI-based weather forecasts in a changing climate. - Thomas Rackow; Nikolay Koldunov; Christian Lessig; Irina Sandu; Mihai Alexe; Matthew Chantry; Mariana Clare; Jesper Sören Dramsch; Florian Pappenberger; Xabier Pedruzo-Bagazgoitia; Steffen Tietsche; Thomas Jung (CoRR, 2024)

Hydra-LSTM: A semi-shared Machine Learning architecture for prediction across Watersheds. - Karan Ruparell; Robert J. Marks; Andy Wood; Kieran M. R. Hunt; Hannah L. Cloke; Christel Prudhomme; Florian Pappenberger; Matthew Chantry (CoRR, 2024)

Evaluation of Satellite-Based Rainfall Estimates against Rain Gauge Observations across Agro-Climatic Zones of Nigeria, West Africa. - Aminu Dalhatu Datti; Gang Zeng; Elena Tarnavsky; Rosalind Cornforth; Florian Pappenberger; Bello Ahmad Abdullahi; Anselem Onyejuruwa (Remote. Sens., 2024)