Climate policy/Data uncertainties limitations: Difference between revisions
Jump to navigation
Jump to search
(Created page with "{{ComponentSubLimitationTemplate |Status=On hold }}") |
No edit summary |
||
Line 1: | Line 1: | ||
{{ComponentSubLimitationTemplate | {{ComponentSubLimitationTemplate | ||
|Status=On hold | |Status=On hold | ||
|Description=For each of the FAIR modules, there are different main uncertainties. | |||
* For the cost module, the main uncertainties are future business-as-usual emission trends (higher emission trends imply higher costs to achieve a certain target) and MAC curves (it is very difficult to estimate the costs of reducing emissions in the far future). | |||
* For the pathfinder module, uncertainty in the climate sensitivity of the climate system to greenhouse gas concentration is an important source of uncertainty, although this can be covered by using a probabilistic version of the MAGICC climate model. Probably the largest source of uncertainty relates to climate change damage, as literature on the financial damage of climate change on a global or regional scale is limited. | |||
* One important limitation of the climate policy module is that the costs of climate policy are not being fed back to other parts of the system. | |||
* Furthermore, some abatement technologies, especially in the land system, are assumed to have no effects on other parameters, such as crop yields, and although some land-based mitigation technologies (afforestation, and agricultural carbon management) are included in FAIR, they are not represented explicitly in the terrestrial vegetation system of IMAGE. | |||
}} | }} |