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The IIASA/ESM based BGC-MAN model was calibrated and validated with TrEco data for the dominant ecosystems and land use forms of the Congo basin, including virgin forests, managed forests, forest fallows after shifting cultivation and savannahs.

A dataset to understand near-term emissions mitigation and adaptation efforts

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). 

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. 

The IPCC AR5 Scenarios Database documents the long-term scenarios as reviewed in the Fifth Assessment Report (AR5) of Working Group III of the Intergovernmental Panel on Climate Change (IPCC).

Data on the key drivers of tropical forest loss were collected using the Geo-Wiki platform. The data, collected within a geographical area of 30 degrees North and South of the equator, are openly available and are already being used in different studies.

Data on built-up surfaces around the world were collected via a Geo-Wiki campaign, where this data set is intended for use as an independent validation of global maps of built-up surfaces.

This Scenario Explorer presents an ensemble of quantitative, model-based pathways underpinning the Sixth Assessment Report (AR6) of Working Group III by the Intergovernmental Panel on Climate Change (IPCC), entitled Climate Change 2022: Mitigation of Climate Change.

A database of greenhouse gas emission mitigation scenarios.

An exploratory research and resulting scenario about how far transformative changes on the energy end-use side can lead to.

A database with scenarios from the integrated assessment community to expedite climate change assessments.

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.

The Global Energy Assessment (GEA) Scenario database documents results and assumptions of the GEA energy transformation pathways that underpin the GEA. The database serves as a central data repository for the dissemination of GEA scenario information.

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.

The GROW Citizen Observatory was developed in a Horizon 2020 funded project to engage citizens (interested in growing food and improving the health of their soils) in sharing their data with a large community of growers across Europe.

Geo-Wiki is an online application for the visualization and crowdsourcing of land cover and land use data, where the first data collection campaigns ran during 2011 and 2012.

Data on agricultural field size has been collected via Geo-Wiki campaigns, where this type of data can provide some indication of agricultural practices, and it helps us to determine what types of satellite data are needed for agricultural monitoring in different parts of the world.

A Geo-Wiki campaign on capturing data on cropland extent took place in September 2016, collecting data at 36,000 unique locations around the world

Data collection using mobile technology has facilitated the collection of in situ or ground-based data on land use/land cover including geo-tagged photographs that document the landscape.

Several data collection activities related to forest cover, forest biomass and forest management have been coordinated by IIASA’s NoDES group in the past