— Ch. 1 · Defining Integrated Frameworks —
Integrated assessment modelling.
~4 min read · Ch. 1 of 6
Scientists at the Potsdam Institute for Climate Impact Research released a dataset in 2022 showing annual greenhouse gas emissions across various NGFS climate scenarios. This data comes from the REMIND-MAgPIE model, which links economic processes with atmospheric changes into one single framework. The goal of such integrated assessment modelling is to accommodate informed policy-making within the context of climate change. While details vary per model, all climatic versions include economic processes alongside those producing greenhouse gases. Other models integrate additional aspects like education, health, infrastructure, and governance. These tools span multiple academic disciplines including economics and climate science. They also cover energy systems, land-use change, agriculture, technology, and conflict patterns.
Process-Based Modeling Approaches
The Intergovernmental Panel on Climate Change relies on process-based integrated assessment models to quantify mitigation scenarios. Researchers use these frameworks to explore pathways staying within targets like the 1.5°C limit agreed upon in the Paris Agreement. Notable modelling frameworks include IMAGE, MESSAGEix, AIM/GCE, GCAM, REMIND-MAgPIE, and WITCH-GLOBIOM. These models provide detailed sectoral information on complex processes while quantifying future developmental pathways. Non-equilibrium models take a different approach by using econometric equations or evolutionary economics concepts. An example includes the E3ME model based on econometrics and the agent-based DSK-model. Such models typically do not assume rational agents or long-term market equilibrium. Instead they simulate shared socioeconomic pathways to understand how specific sectors interact over time.