IMAGE framework: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 1: | Line 1: | ||
{{FrameworkIntroductionTemplate | {{FrameworkIntroductionTemplate | ||
|ExternalModel=FUND model; DICE model; ENV-Linkages model; | |ExternalModel=FUND model; DICE model; ENV-Linkages model; | ||
|Reference=Zalasiewicz et al., 2010; | |Reference=Zalasiewicz et al., 2010; | ||
|Description=The Introduction to IMAGE framework consists of a number of pages representing various aspects of the framework. | |Description=The Introduction to IMAGE framework consists of a number of pages representing various aspects of the framework. | ||
| Line 41: | Line 41: | ||
====Detail versus simplification==== | ====Detail versus simplification==== | ||
As indicated above, a key trade-off in IAMs is detail versus simplification. Sufficient detail is required to include all relevant processes in both the Human and the Earth system according to state-of-the-art knowledge. Simplicity is needed to ensure sufficient transparency in complex model systems, and to explore uncertainties. For instance, a crop growth model with data input on observed, local climate, soil layers and crop variety parameters may perform well at field scale. However, such a model is less suitable for use in an IAM that requires more generic crop growth representation operating as part of a global scale system. Another limitation to the level of detail captured in IAMs is the lack of consistent and complete datasets with global coverage. | As indicated above, a key trade-off in IAMs is detail versus simplification. Sufficient detail is required to include all relevant processes in both the Human and the Earth system according to state-of-the-art knowledge. Simplicity is needed to ensure sufficient transparency in complex model systems, and to explore uncertainties. For instance, a crop growth model with data input on observed, local climate, soil layers and crop variety parameters may perform well at field scale. However, such a model is less suitable for use in an IAM that requires more generic crop growth representation operating as part of a global scale system. | ||
Another limitation to the level of detail captured in IAMs is the lack of consistent and complete datasets with global coverage. | |||
While models are developed for different purposes, and thus have limited overlap in scope and detail, in practice many hybrid models are in use. As illustrated in Figure below, IAM models are between models with a primary focus on the Earth system (Earth System Models) and models that focus on the Human system such as pure economic models. | While models are developed for different purposes, and thus have limited overlap in scope and detail, in practice many hybrid models are in use. As illustrated in Figure below, IAM models are between models with a primary focus on the Earth system (Earth System Models) and models that focus on the Human system such as pure economic models. | ||
{{DisplayFigureLeftOptimalTemplate|Figure1 IFI}} | {{DisplayFigureLeftOptimalTemplate|Figure1 IFI}} | ||
Revision as of 09:24, 13 May 2014
| Projects/Applications |
| Models/Databases |
| Relevant overviews |
| References |