Data Modeling
We Provide Modeled Emission Pathways That Compare Baseline Scenarios to Policy and Action Impacts
We have modeled strategies across every sector of GHG emissions that can account for both emissions reductions and costs. Clients use our models to bridge the gap between where they are and where they want to be. Our modeling outputs provide thousands of data points that can be incorporated into dashboards, visualizations, or other materials to engage the public, stakeholders, and policymakers.
Science Based Targets We help clients set Emissions Reduction targets that are aligned with the latest science and recommendations from the Intergovernmental Panel on Climate Change. Whether a community or corporation, science based targets reflect the necessary reductions needed to limit global warming to 1.5 degrees Celsius or less.
Business as Usual (BAU) models present clients with a clear picture of where their emissions will be in the future if no further action is taken. Incorporating known impacts identifies the externalities, like population growth or federal/state vehicle emission standards, and creates a backdrop for modeling additional strategies and their impact.
We quantify GHG emissions impacts of policy and actions. We use robust data to assess the impact of cost-effective mitigation policies and programs on the BAU scenario and identify strategies that will create the largest reduction in GHG emissions. In addition, our tools help set and monitor progress towards policy GHG emission reduction goals.
We develop detailed cost models to help for an additional layer of consideration. We analyze and review strategies, not only for their emissions’ impact, but also to understand the investment required to fully realize those reductions. Costs are further broken out by capital cost, program costs, and can include social costs of GHG emissions and co-pollutants.