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The Industrial Transformation Technology and Investment Model (ITTIM) is an Excel-based tool that estimates energy use, CO2 emissions, and capital investment needs for industrial decarbonization. It employs a six-tier cumulative technology framework—ranging from energy efficiency to clean chemical feedstocks—to mitigate 97% to 99% of industrial emissions. The model currently supports datasets for China, India, Indonesia, Viet Nam, the Philippines, and the United States, allowing users to simulate various scenarios including carbon pricing and different hydrogen cost projections.

The Corporate Commitments and Emissions Explorer uses a formula-based approach to estimate corporate emissions trajectories, incorporating revenue growth, climate targets, and sectoral intensities. It offers five preset outlooks—Current, Climate-Aligned Action, Herd Catches Leaders, Laggards Catch Herd, and No Further Action—to simulate different levels of corporate ambition. The tool focuses on Scope 1 and 2 emissions, utilizing data from CDP and the Net Zero Tracker, while excluding Scope 3 emissions due to data quality and double-counting risks. Companies are categorized as ambitious, somewhat ambitious, or least ambitious based on their disclosure habits, emission intensities, and the nature of their climate commitments.

The BONUS RETURN project has released three baseline SWAT (Soil and Water Assessment Tool) model applications for the Vantaanjoki (Finland), Fyrisån (Sweden), and Słupia (Poland) river basins. These models, which have undergone calibration and validation, are hosted in the Finnish Environment Institute (SYKE) open data repository to allow researchers and practitioners to utilize existing parameterizations or develop new scenarios for these and similar target areas.

The Powerplant Impact Estimator (PIE) is a software tool designed to quantify the human health and economic benefits of reducing fine particulate matter (PM2.5) emissions from US electric generating units. It employs a three-step damage function approach: modeling changes in ambient air quality using a Source-Receptor (S-R) Matrix, calculating reductions in adverse health effects via epidemiological concentration-response functions, and assigning economic values to these avoided effects using cost-of-illness and willingness-to-pay metrics.

The document details the calculations for the Greenhouse Development Rights (GDRs) calculator, a tool designed to explore burden-sharing for climate change. It establishes a methodology that uses the individual as the unit of analysis, assuming lognormal income distributions within countries. The paper defines how to calculate individual and national 'capacity' (financial ability to pay) and 'responsibility' (based on emissions), which are then combined into a Responsibility-Capacity Indicator (RCI) to allocate a global tax. It also describes the use of the Suits index to measure the progressivity of this tax system on a global scale.

The Land Emissions and Removals Navigator (LEARN) is a free, interactive web tool designed to help U.S. cities, counties, and municipalities analyze the greenhouse gas (GHG) impacts of forests and trees at a community scale. Developed by the World Resources Institute, ICLEI, and partners, the tool provides automated spatial analysis to support data-driven planning and monitoring of nature-based solutions. It utilizes national datasets from the U.S. Forest Service and U.S. Geological Survey to estimate carbon emissions and removals resulting from land cover change, forest disturbances, and changes to tree canopy on non-forest lands. The tool is intended to complement ICLEI's U.S. Community Protocol’s Appendix J: Forests and Trees to assist local leaders in aligning their actions with state and national mitigation targets.