Dataset
The CD-LINKS consortium has developed a set of consistent national and global low-carbon development pathways that take current national policies and the Nationally Determined Contributions (NDCs) as an entry point for short-term climate action and then transition to long-term goals of 1.5 and 2°C as defined by the Paris Agreement.
Dataset
The AMPERE database, operated by IIASA for the AMPERE consortium, hosts the model results for work packages 2, 3, and 5, as well as the results from the model diagnostics project. AMPERE scenario data were used in a series of research papers, which were published in a special issue of Technological Forecasting and Social Change as well as other journals. In addition, the results were used in the 5th Assessment Report of Working Group III of the IPCC.
Dataset
The LIMITS Scenario database, operated by IIASA for the LIMITS consortium, hosts the results of the LIMITS modeling comparison exercise. The LIMITS project aims at advancing the understanding of the implementation of climate policies consistent with 2 degree Celsius. The main objective of the project is to provide an assessment of the emissions reductions strategies at the level of the world and the major global economies.
Model
The DisruptSupplyChain model assesses the indirect economic impacts of disasters by explicitly quantifying the disturbances on supply chains. It simulates, in space and time, how transport infrastructure disruptions perturb the flows of goods in supply chains and how these perturbations affect households, firms, and trade.
Model
Pathfinder is designed to fill a perceived gap within the existing simple climate models by fulfilling three key requirements: (1) the capacity to be calibrated using Bayesian inference, (2) the capacity to be coupled with integrated assessment models (IAMs), and (3) the capacity to explore a very large number of climate scenarios to narrow down those compatible with limiting climate impacts.
Model
MAGICC is a reduced complexity Earth system model that has been widely used in climate science for over three decades, most notably in multiple IPCC reports. It is most often used in a probabilistic setup, providing information not only about our best-estimate of future climate change but also the uncertainty that arises from interactions between the Earth system’s many components. MAGICC is also as the climate component in multiple integrated assessment models (IAMs).
Dataset
The Horizon 2020 project ENGAGE quantifies avoided climate change impacts through analysis of the exposure and associated costs for individual sectors and regions to climate change at different levels of and timing for global peak temperature. A particular focus is placed on quantifying the benefits (or trade-offs) of climate policies on biodiversity, food, poverty, water, air quality, health, and employment, particularly for vulnerable populations.
Dataset
A host of scientific chemistry and climate model experiments explore responses of the global atmosphere and climate systems to possible future changes in emissions of air pollutants and greenhouse gases.
The Pollution Management research group (formerly AIR program) has used its GAINS model to develop a set of global emission fields of nine substances that provide consistent sets of future sectoral emissions for well-specified assumptions on economic development and the effectiveness of dedicated emission control policies.
Model
The ibis.iSDM package provides a series of convenience functions to fit integrated Species Distribution Models (iSDMs). With integrated models we generally refer to SDMs that incorporate information from different biodiversity datasets, external parameters such as priors or offsets with respect to certain variables and regions.