Henriksen, H.J., Refsgaard, J.C., Højberg, A.L., Ferrand, N., Gijsbers, P., Scholten, H.
The main purpose of public participation in integrated water resources modelling is to improve decision-making by ensuring that decisions are soundly based on shared knowledge, experience and...
J. R. Hansen, S. Hansen, J. C. Refsgaard
Nonpoint-source pollution from agriculture is a widespread problem in Europe and North America. This typically concerns compounds like nitrogen from fertilizers and slurry, phosphorus, and...
Henriksen, H.J., Refsgaard, J.C., Brugnach, M., Pahl-Wostl, C., ...
Integrated Water Resources Management (IWRM) can be viewed as a complex process in which the effect of adopted water management measures must be monitored and adjusted in an iterative way as new...
A methodology to support multidisciplinary model-based water management (2007)
Scholten, H., Kassahun, A., Refsgaard, J.C., Kargas, Th., Gavardinas, C., Beulens, A.J.M.
Quality assurance in model based water management is needed because of some frequently perceived shortcomings, e.g. a lack of mutual understanding between modelling team members, malpractice and a...
Uncertainty in the environmental modelling process – A framework and guidance (2007)
Refsgaard, J.C., Hojberg, A.L., Vanrolleghem, P.
A terminology and typology of uncertainty is presented together with a framework for the modelling process, its interaction with the broader water management process and the role of uncertainty at...
Uncertainty in geological and hydrogeological data (2007)
Nilsson, B., Højberg, A. L., Refsgaard, J. C., Troldborg, L.
Uncertainty in conceptual model structure and in environmental data is of essential interest when dealing with uncertainty in water resources management. To make quantification of uncertainty...
Uncertainty in geological and hydrogeological data (2007)
Nilsson, B., Højberg, A. L., Refsgaard, J. C., Troldborg, L.
Uncertainty in conceptual model structure and in environmental data is of essential interest when dealing with uncertainty in water resources management. To make quantification of uncertainty...
Uncertainty in geological and hydrogeological data (2007)
B. Nilsson, A. L. Højberg, J. C. Refsgaard, L. Troldborg
Uncertainty in conceptual model structure and in environmental data is of essential interest when dealing with uncertainty in water resources management. To make quantification of uncertainty...
A framework for dealing with uncertainty due to model structure error (2006)
Refsgaard, J.C., Brown, J., Keur, P. Van Der
Although uncertainty about structures of environmental models (conceptual uncertainty) is often acknowledged to be the main source of uncertainty in model predictions, it is rarely considered in...
Quality Assurance of the modelling process (2006)
Refsgaard, J.C., Højberg, A.L., Henriksen, H.J., Scholten, H., Kassahun, A., Packman, J.C., ...
Quality Assurance support through MoST (HarmoniQua) (2006)
Refsgaard, J.C., Højberg, A.L., Henriksen, H.J., Scholten, H., Kassahun, A., Packman, J.C., ...
Uncertainty in geological and hydrogeological data (2006)
Nilsson, B., Højberg, A. L., Refsgaard, J. C., Troldborg, L.
Uncertainty in conceptual model structure and in environmental data is of essential interest when dealing with uncertainty in water resources management. To make quantification of uncertainty...
Refsgaard, J. C., Nilsson, B., Brown, J.
In environmental modelling studies field data usually have a spatial and temporal scale of support that is different from the one at which models operate. This calls for a methodology for rescaling...
Uncertainty in geological and hydrogeological data (2006)
Nilsson, B., Højberg, A. L., Refsgaard, J. C., Troldborg, L.
Uncertainty in conceptual model structure and in environmental data is of essential interest when dealing with uncertainty in water resources management. To make quantification of uncertainty...
Refsgaard, J. C., Nilsson, B., Brown, J.
In environmental modelling studies field data usually have a spatial and temporal scale of support that is different from the one at which models operate. This calls for a methodology for rescaling...
J. C. Refsgaard, B. Nilsson, J. Brown
In environmental modelling studies field data usually have a spatial and temporal scale of support that is different from the one at which models operate. This calls for a methodology for rescaling...
Uncertainty in geological and hydrogeological data (2006)
B. Nilsson, A. L. Højberg, J. C. Refsgaard, L. Troldborg
Uncertainty in conceptual model structure and in environmental data is of essential interest when dealing with uncertainty in water resources management. To make quantification of uncertainty...
Refsgaard, J.C., Hendriksen, H.C., Harrar, B., Scholten, H., Kassahun, A.
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...
An integrated methodology for recording uncertainties about environmental data (2005)
Brown, J., Heuvelink, G.B.M., Refsgaard, J.C.
Understanding the limitations of environmental data is essential both for managing environmenta systems effectively and for encouraging the responsible use of scientific research when knowledge is...
Refsgaard, J.C., Henriksen, H., Harrar, B., Scholten, H., Kassahun, A.
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...
Current Results of the EC-sponsored Catchment Modelling (CatchMod) Cluster (2005)
Blind, M., Moore, R.V., Scholten, H., Refsgaard, J.C., Borgvang, S.A., Guipponi, C., ...