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.
Tool
The concept of nexus thinking has gained traction amongst the applied research community to examine cross-sector linkages between land, water, and energy strategies. A nexus approach identifies the interactions among sectors to better understand the synergies and trade-offs involved in meeting future resource demands in a sustainable way.
Dataset
This Scenario Explorer presents an ensemble of quantitative, model-based climate change mitigation pathways underpinning the Special Report on Global Warming of 1.5°C (SR15) by the Intergovernmental Panel on Climate Change (IPCC) published in 2018. The ensemble was also used and extended in the IPCC's Special Report on Climate Change and Land (SRCCL, 2019).
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.
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
CHILLED is a global scope, spatially explicit and physically based model for estimation of building space heating and cooling requirements. It combines high resolution climate data, building physics representation and socioeconomic and behavioural data. CHILLED is used for estimating long term growth in demand for space conditioning (heating & cooling), the associated energy demands and carbon emissions, and the population lacking cooling access (cooling gap).
Model
A modeling framework for medium to long-term energy system planning, energy policy analysis, and scenario development
Water Security (WAT)
Integrated Biosphere Futures (IBF)
Energy, Climate, and Environment (ECE)
Sustainable Service Systems (S3)
Pollution Management (PM)
Integrated Assessment and Climate Change (IACC)
Transformative Institutional and Social Solutions (TISS)
Multidimensional Demographic Modeling (MDM)
Austria
Brazil
China
Germany
Italy
Norway