QUICS Reports and Guidance

A key element of QUICS was the completion of publicly available reports and guidance documents which allow practitioners to understand uncertainty and implement methods which were developed during the QUICS 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 (link is to v1.1.1 which updates the link to the web app compared to May 2017 v1.1) Manoranjan Muthusamy, Alma Schellart, Simon Tait University of Sheffield
May 2017 D4.7 Tool to advise on using appropriate river pollutant transport model  [Report]  [Software] Vivian Camacho Suarez, James Shucksmith, Alma Schellart University of Sheffield
March 2017 D6.2 Guidelines and manuals for end-users on uncertainty propagation analysis and sampling designs 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