IMAGE framework/Development for the 2015-2020 period: Difference between revisions

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{{FrameworkIntroductionPartTemplate
{{FrameworkIntroductionPartTemplate
|Description=<h2>Main focus of IMAGE over the 2015–2020 period</h2>
|Reference=Van Vuuren et al., 2015; Hordijk et al., 2014
The IMAGE modelling framework forms an integrated assessment model (IAM) of global environmental change in interaction with human development. This means that the IMAGE framework is intended to provide an integrated view on trends that determine global environmental change (the [[drivers]]), the state of the global environment itself and the impact
|PageLabel=Recent model developments
of future changes for the earth and human systems. In this context, the objectives for the modelling framework can be described, in generic terms, as:
|Sequence=4
# to assess the maininteractions between the human system and the earth system on a global level and overlarge timescales; # to indicate the importance of various processes of change by showing the consequences;
# to explore various response strategies for global environmental problems and their implications;  
# to support policy-making processes and international assessments by providing relevant scenarios, with explicit attention for the extent and relevance of uncertainties along the chain.
 
The main clients of IMAGE include the Dutch Government, the European Commission, international organisations, such as IPCC, UNEP and OECD, and the research communities.
 
In the future, efforts will be made to expand this client base to sector and business associations. The 3 leading questions for the IMAGE framework over the following years remain similar to those of the past period:
* What are effective response strategies for climate change, going beyond global costefficiency?
* What response strategies would be able to provide sufficient food for 9 billion people around 2050, while conserving biodiversity and the provisioning of goods and services by ecosystems?
* What levels of effort are associated with implementing currently formulated sustainable development objectives ({{AbbrTemplate|SDG}}s/Planetary Boundaries)? Can multiple targets be achieved at the same time?
 
In addressing these questions, work on and with the IMAGE Framework will focus more on the following directions:
* Response strategies and concrete interventions
* Feedbacks and linkages between model components
* Linkages between global environmental problems and human development
* Guide policymakers and researchers on the role of uncertainty in complex environmental problems
 
The prioritisation is based on the observation that, over the past few years, there have been
important changes to the context of IAM work:
# a shift from problem identification to interest in the efforts and benefits of response strategies;
# increasing interest in thegovernance aspects and the role of various actors;
# increasing attention for therelationship between various problems, calling for more integration;
# renewed attention forthe relationship between human development and global environmental change;
#increasing interest in the IAM work, in general.
|PageLabel=IMAGE strategy for the 2015-2020 period
|Sequence=5
}}
}}
<div class="page_standard">
In 2014, the IMAGE-3 model was finalized. In 2020, we finalized the IMAGE 3.2 model. The IMAGE 3.2 model goes beyond the earlier model versions in several ways.
* The model has been calibrated up to 2015, and where possible, even 2018. Moreover, the base year for model analysis was set at 2020.
* The detail in modelling energy demand was further improved. This concerns transport, industry, buildings, services and agriculture.
* In energy conversion, details were added to electricity representation and hydrogen production (using a residual load curve approach).
* The modelling of bio-energy was greatly improved, using dynamic emission factors based on the IMAGE-land model.
* Climate impacts on different forms of renewable energy were added to the model.
* In land use, the number of crops and animal products was significantly increased.
* Also, updates were made in the representation of deforestation, other lands, built-up area
* The link between the agriculture-economic model MAGNET and the IMAGE model was significantly improved.
* The modelling of land-based mitigation in IMAGE and MAGNET was substantially improved now including avoided deforestation afforestation through MAC curves in FAIR. Also peatland degradation was included.
* The water modelling in IMAGE linked to LPJmL was improved introducing municipal, energy and industry water demand in LPJmL and making it possible to account for environmental flow requirements.
</div>

Latest revision as of 20:42, 10 October 2021


In 2014, the IMAGE-3 model was finalized. In 2020, we finalized the IMAGE 3.2 model. The IMAGE 3.2 model goes beyond the earlier model versions in several ways.

  • The model has been calibrated up to 2015, and where possible, even 2018. Moreover, the base year for model analysis was set at 2020.
  • The detail in modelling energy demand was further improved. This concerns transport, industry, buildings, services and agriculture.
  • In energy conversion, details were added to electricity representation and hydrogen production (using a residual load curve approach).
  • The modelling of bio-energy was greatly improved, using dynamic emission factors based on the IMAGE-land model.
  • Climate impacts on different forms of renewable energy were added to the model.
  • In land use, the number of crops and animal products was significantly increased.
  • Also, updates were made in the representation of deforestation, other lands, built-up area
  • The link between the agriculture-economic model MAGNET and the IMAGE model was significantly improved.
  • The modelling of land-based mitigation in IMAGE and MAGNET was substantially improved now including avoided deforestation afforestation through MAC curves in FAIR. Also peatland degradation was included.
  • The water modelling in IMAGE linked to LPJmL was improved introducing municipal, energy and industry water demand in LPJmL and making it possible to account for environmental flow requirements.