Difference between revisions of "Climate policy/Data uncertainties limitations"

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===Uncertainties===
 
===Uncertainties===
Each FAIR module has uncertainties. The main uncertainties in the cost modules are future business-as-usual emission trends (higher emission trends imply higher mitigation costs to achieve a certain target) and MAC curves (difficult to estimate the costs of reducing emissions far into the future). In the Global Pathfinder and Climate module, uncertainty in the climate sensitivity of the climate system to greenhouse gas concentration is an key source of uncertainty but can be covered by using a probabilistic version of the [[MAGICC model|MAGICC]] climate model. Probably the largest source of uncertainty relates to climate change damage, as there are few studies on the economic damage of climate change on a global or regional scale.
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Each FAIR module has uncertainties. The main uncertainties in the cost modules are future business-as-usual emission trends (higher emission trends imply higher mitigation costs to achieve a certain target) and MAC curves (difficult to estimate the costs of reducing emissions far into the future). In the Global Pathfinder FAIRSiMCaP and Climate module, uncertainty in the climate sensitivity of the climate system to greenhouse gas concentration is an key source of uncertainty but can be covered by using a probabilistic version of the [[MAGICC model|MAGICC]] climate model. Probably the largest source of uncertainty relates to climate change damage, as there are few studies on the economic damage of climate change on a global or regional scale.
  
 
===Limitations===
 
===Limitations===
A key limitation of the Global Pathfinder and Climate module is that the costs of climate policy are not fed back to the rest of the economy. Furthermore, some abatement technologies especially in the land system are assumed to have no effects on other parameters, such as crop yields. Some land-based mitigation technologies such as afforestation, and agricultural carbon management, are included in FAIR, but are not represented explicitly in the terrestrial vegetation system of the IMAGE framework.
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A key limitation of the Global Pathfinder module FAIRSiMCaP and Climate module is that the costs of climate policy are not fed back to the rest of the economy. Furthermore, some abatement technologies especially in the land system are assumed to have no effects on other parameters, such as crop yields. Some land-based mitigation technologies such as afforestation, and agricultural carbon management, are included in FAIR, but are not represented explicitly in the terrestrial vegetation system of the IMAGE framework.
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Revision as of 19:46, 6 November 2016

Data uncertainties and limitations

Data

Input for the modules consists of baseline scenarios on population, GDP and emissions, as calculated by the IMAGE modelling framework. Emissions are from all major sources and include all six Kyoto greenhouse gases. MAC curves describing mitigation potential and costs of greenhouse gas emission reductions are derived from the TIMER energy model and the IMAGE land-use model. The MAC curves take into account a wide range of options, including carbon plantations, carbon capture and storage (CCS), bio, wind and solar energy, and energy efficiency and technological improvements. In addition, FAIR can also use emission projections and MACs from other models, such as the POLES energy system model (Enerdata, 2010) and IIASA land-use models (Kindermann et al., 2008), to assess the sensitivity of the outcomes to these inputs.

Uncertainties

Each FAIR module has uncertainties. The main uncertainties in the cost modules are future business-as-usual emission trends (higher emission trends imply higher mitigation costs to achieve a certain target) and MAC curves (difficult to estimate the costs of reducing emissions far into the future). In the Global Pathfinder FAIRSiMCaP and Climate module, uncertainty in the climate sensitivity of the climate system to greenhouse gas concentration is an key source of uncertainty but 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 there are few studies on the economic damage of climate change on a global or regional scale.

Limitations

A key limitation of the Global Pathfinder module FAIRSiMCaP and Climate module is that the costs of climate policy are not fed back to the rest of the economy. Furthermore, some abatement technologies especially in the land system are assumed to have no effects on other parameters, such as crop yields. Some land-based mitigation technologies such as afforestation, and agricultural carbon management, are included in FAIR, but are not represented explicitly in the terrestrial vegetation system of the IMAGE framework.

Parts of Climate policy

  1. Introduction page
  2. Model description
  3. Policy issues
  4. Data, uncertainty and limitations
  5. Overview of references