Reports and Guidance
A key element of the QUICS project was to make reports and guidance publicly available, to allow practitioners to understand uncertainty and implement the methods developed during the project.
The table below lists the publicly available reports and guidance documents.
Date | Title | Authors | Partners Involved (Lead, Contributing) |
---|---|---|---|
May 2018 | D6.8 Report on impact of climate change on urban sediment wash-off | Manoranjan Muthusamy, Alma Schellart | University of Sheffield |
May 2018 | D6.6 Guidance on trade-offs between model complexity and accuracy | J. Arturo Torres-Matallana, Mahmood Mahmoodian, Ulrich Leopold, Vivian Camacho Suarez, James Shucksmith | LIST, University of Sheffield |
May 2018 | D6.1 Database of openly accessible software tools | QUICS | University of Sheffield, LIST, TU Delft, University of Bristol, University of Coimbra, Wageningen University, CH2M, JLU Giessen |
May 2018 | D4.5 Report on evidence base | Vasilis Bellos, Elliot Gill, Alma Schellart, Simon Tait | CH2M, University of Sheffield |
May 2018 | D4.4 Good Practice Guidance: Incorporating Uncertainty in Integrated Catchment Studies | Vasilis Bellos, Elliot Gill, Alma Schellart, Simon Tait | CH2M, University of Sheffield |
May 2018 | D2.2 Software tools for investigating the influence of hydraulic structures and their uncertainty in sewer network modelling | Md Nazmul Azim Beg, Rita F. Carvalho, Jorge Leandro, Alma Schellart | University of Coimbra, University of Sheffield |
May 2018 | D4.1 Report on strategy to investigate the entire model uncertainty chain in rural landscapes so as to provide probabilistic outputs to urban modelling end-users | Carla Camargos, Tobias Houska, Lutz Breuer | JLU Giessen |
May 2018 | D1.4 Tools for SWAT model uncertainty | Lutz Breuer, Carla Camargos, Tobias Houska | JLU Giessen |
April 2018 | D4.6 Concept and methodologies to guide surrogate modelling for real-time control (RTC) of urban drainage systems under uncertainty | Mahmood Mahmoodian | LIST |
November 2017 | PhD Thesis: Uncertainty estimation and propagation in radar-rain gauge rainfall merging using kriging-based techniques | Francesca Cecinati | University of Bristol |
November 2017 | D3.2 Enhanced algorithms to quantify uncertainty in radar rainfall measurement | Francesca Cecinati, Miguel A. Rico-Ramirez | University of Bristol |
October 2017 | D6.7 A Framework for the application of uncertainty analysis | Franz Tscheikner-Gratl, Mathieu Lepot, Antonio Moreno-Rodenas, Alma Schellart | TU Delft, University of Sheffield |
May 2017 | D1.1 & D4.2 Report on uncertainty frameworks and Report on application of uncertainty frameworks, potential improvements | Ambuj Sriwastava and Antonio Moreno | TU Delft, University of Sheffield |
May 2017 | D1.2 Open source computational libraries of efficient algorithms for adaptive MCMC sampling and/or posterior emulation | Jörg Rieckermann, Sanda Dejanic | Eawag |
May 2017 | D1.3 Model structure errors and input uncertainty: Lessons Learned | Omar Wani | Eawag |
May 2017 | D2.4 An improved sediment wash-off model for urban impervious surfaces | Manoranjan Muthusamy, Alma Schellart, Simon Tait | University of Sheffield |
May 2017 | D2.4 An improved sediment wash-off model for urban impervious surfaces | Vivian Camacho Suarez, James Shucksmith, Alma Schellart | University of Sheffield |
March 2017 | D4.7 Tool to advise on using appropriate river pollutant transport model [Report] [Software] | Gerard Heuvelink, Francesca Cecinati, Mathieu Lepot, Antonio Moreno, Kasia Sawicka, Arturo Torres | Wageningen University, TU Delft, University of Bristol, LIST |
January 2017 | D4.3 Guidelines on rainfall resolution and associated uncertainty | Francesca Cecinati and Miguel A. Rico-Ramirez with contributions from Antonio Moreno Ródenas and Mahmood Mahmoodian | University of Bristol, TU Delft, University of Sheffield, LIST |
December 2016 | D3.1 Sample design optimisation techniques and associated software Revised November 2017 DOI: 10.5281/zenodo.1065954 | Kasia Sawicka, Alexandre Wadoux and Gerard Heuvelink | Wageningen University |
November 2016 | D2.3 Software tools for aggregation & propagation uncertain input variables [Report] [Software] |
Arturo Torres-Matallana, Ulrich Leopold, Gerard Heuvelink | LIST, Wageningen University |
June 2016 | D2.1 Software tools for quantifying uncertainty across different scales | Kasia Sawicka and Gerard Heuvelink | Wageningen University |