TY - JOUR
T1 - Quality assurance in model based water management - review of existing practice and outline of new approaches
AU - Refsgaard, Jens Christian
AU - Henriksen, Hans Jørgen
AU - Harrar, William G.
AU - Scholten, Huub
AU - Kassahun, Ayalew
N1 - Funding Information:
The present work was carried out within the Project ‘Harmonising Quality Assurance in model based catchments and river basin management (HarmoniQuA)’, which is partly funded by the EC Energy, Environment and Sustainable Development programme (Contract EVK1-CT2001-00097). The constructive comments of five anonymous reviewers are acknowledged.
PY - 2005/10
Y1 - 2005/10
N2 - Quality assurance (QA) is defined as protocols and guidelines to support the proper application of models. In the water management context we classify QA guidelines according to how much focus is put on the dialogue between the modeller and the water manager as: (Type 1) Internal technical guidelines developed and used internally by the modeller's organisation; (Type 2) Public technical guidelines developed in a public consensus building process; and (Type 3) Public interactive guidelines developed as public guidelines to promote and regulate the interaction between the modeller and the water manager throughout the modelling process. State-of-the-art QA practices vary considerably between different modelling domains and countries. It is suggested that these differences can be explained by the scientific maturity of the underlying discipline and differences in modelling markets in terms of volume of jobs outsourced and level of competition. The structure and key aspects of new generic guidelines and a set of electronically based supporting tools that are under development within the HarmoniQuA project are presented. Model credibility can be enhanced by a proper modeller-manager dialogue, rigorous validation tests against independent data, uncertainty assessments, and peer reviews of a model at various stages throughout its development.
AB - Quality assurance (QA) is defined as protocols and guidelines to support the proper application of models. In the water management context we classify QA guidelines according to how much focus is put on the dialogue between the modeller and the water manager as: (Type 1) Internal technical guidelines developed and used internally by the modeller's organisation; (Type 2) Public technical guidelines developed in a public consensus building process; and (Type 3) Public interactive guidelines developed as public guidelines to promote and regulate the interaction between the modeller and the water manager throughout the modelling process. State-of-the-art QA practices vary considerably between different modelling domains and countries. It is suggested that these differences can be explained by the scientific maturity of the underlying discipline and differences in modelling markets in terms of volume of jobs outsourced and level of competition. The structure and key aspects of new generic guidelines and a set of electronically based supporting tools that are under development within the HarmoniQuA project are presented. Model credibility can be enhanced by a proper modeller-manager dialogue, rigorous validation tests against independent data, uncertainty assessments, and peer reviews of a model at various stages throughout its development.
KW - Modelling guidelines
KW - Quality assurance
KW - Support tools
KW - Uncertainty
KW - Water resources management
UR - http://www.scopus.com/inward/record.url?scp=16244368843&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2004.07.006
DO - 10.1016/j.envsoft.2004.07.006
M3 - Article
VL - 20
SP - 1201
EP - 1215
JO - Environmental Modelling & Software
JF - Environmental Modelling & Software
IS - 10
ER -