Recent involvement in designing and developing a simulation model to allow interaction between biophysical, economic and social processes has also led to interest in uncertainty and error propagation in models. This uncertainty exists in each of the biophysical, economic and social domains. With regard to the hydrologic processes there appears to be an indeterminacy principle that makes up-scaling difficult. When this is combined with the uncertainty in the other aspects of the model it would suggest that caution is needed in interpreting output from such models
Engineers are increasingly called to deal with practical problems related to water resources managem...
A terminology and typology of uncertainty is presented together with a framework for the modelling p...
Our contemporary society consists of increasingly complex systems-of-systems in which technical and ...
Recent involvement in designing and developing a simulation model to allow interaction between bioph...
Scientists from different disciplines now routinely work together on com-plex, multi-interactive, ge...
Environmental models are important tools; however uncertainty is pervasive in the modeling process. ...
Environmental decision making is complicated by the complexity of natural systems and the generally ...
There are many sources of uncertainty in scenarios and models of socio-ecological systems, and under...
There are increasing demands in assessing the impacts of change on environmental systems to couple d...
Mathematical models of ecosystems are considerable simplifications of reality, and the data upon whi...
Many different process-based models of ecosystems are in use today. The majority of these models are...
Modeling is a crucial approach for understanding the past and exploring the future of coupled human-...
Characterizing, understanding and better estimating uncertainties are key concerns for drawing robus...
In recent years there has been considerable interest in developing models for river and lake ecologi...
none2siWe present a probability based theoretical scheme for building process-based models of uncert...
Engineers are increasingly called to deal with practical problems related to water resources managem...
A terminology and typology of uncertainty is presented together with a framework for the modelling p...
Our contemporary society consists of increasingly complex systems-of-systems in which technical and ...
Recent involvement in designing and developing a simulation model to allow interaction between bioph...
Scientists from different disciplines now routinely work together on com-plex, multi-interactive, ge...
Environmental models are important tools; however uncertainty is pervasive in the modeling process. ...
Environmental decision making is complicated by the complexity of natural systems and the generally ...
There are many sources of uncertainty in scenarios and models of socio-ecological systems, and under...
There are increasing demands in assessing the impacts of change on environmental systems to couple d...
Mathematical models of ecosystems are considerable simplifications of reality, and the data upon whi...
Many different process-based models of ecosystems are in use today. The majority of these models are...
Modeling is a crucial approach for understanding the past and exploring the future of coupled human-...
Characterizing, understanding and better estimating uncertainties are key concerns for drawing robus...
In recent years there has been considerable interest in developing models for river and lake ecologi...
none2siWe present a probability based theoretical scheme for building process-based models of uncert...
Engineers are increasingly called to deal with practical problems related to water resources managem...
A terminology and typology of uncertainty is presented together with a framework for the modelling p...
Our contemporary society consists of increasingly complex systems-of-systems in which technical and ...