Table 4.
Participating integrated assessment models in the model exercise to assess the impact of climate policies.
| Model | Coverage IAM model | Institute | Model type |
|---|---|---|---|
| AIM V2.1 | Global | Kyoto University and National Institute for Environmental Studies (NIES, Japan) | Recursive dynamic, general equilibrium |
| COPPE-COFFEE 1.0 | Global/national | Energy Planning Programme, COPPE, Universidade Federal do Rio de Janeiro (COPPE, Brazil) | Perfect foresight, general equilibrium |
| DNE21 + V.14 | Global/national | Research Institute of Innovative Technology for the Earth (RITE, Japan) | Perfect foresight, partial equilibrium |
| GEM-E3 | Global/national | Institute of Communication and Computer Systems (ICCS, Greece) | Recursive dynamic, General equilibrium |
| IMAGE 3.0 | Global | PBL Netherlands Environmental Assessment Agency (PBL, The Netherlands) | Recursive dynamic, partial equilibrium |
| MESSAGEix-GLOBIOM_1.0 | Global | International Institute for Applied Systems Analysis (IIASA, Austria) | Perfect foresight, general equilibrium |
| POLES CDL | Global | Joint Research Centre (JRC, EU) | Recursive dynamic, partial equilibrium |
| REMIND-MAgPIE 1.7-3.0 | Global | Potsdam Institute for Climate Impact Research (PIK, Germany) | Perfect foresight, general equilibrium (REMIND) recursive dynamic, partial equilibrium (MAgPIE) |
| WITCH2016 | Global | Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC, Italy) | Perfect foresight, general equilibrium |
| AIM/Enduse[Japan] | National | Kyoto University and National Institute for Environmental Studies (NIES, Japan) | Recursive dynamic, partial equilibrium |
| AIM India [IIMA] | National | Indian Institute of Management (IIM, India) | Recursive dynamic, general equilibrium |
| BLUES | National | Energy Planning Programme, COPPE, Universidade Federal do Rio de Janeiro (COPPE, Brazil) | Perfect foresight, partial equilibrium |
| China TIMES | National | Tsinghua University (TU, China) | Recursive dynamic, partial equilibrium |
| GCAM-USA_CDLINKS | National | Pacific Northwest National Laboratory (PNNL, United States) | Recursive dynamic, partial equilibrium |
| India MARKAL | National | The Energy Resources Institute (TERI, India) | Dynamic least cost optimisation |
| IPAC-AIM/technology V1.0 | National | National Development and Reform Commission Energy Research Institute (NDRC-ERI, China) | Recursive dynamic, general equilibrium |
| PRIMES_V1 | ICCS | Institute of Communication and Computer Systems (ICCS, Greece) | Perfect foresight, partial equilibrium |
| RU-TIMES 3.2 | National | National Research University-Higher School of Economics (HSE, Russian Federation) | Perfect foresight, partial equilibrium |