Potential National Income Benefit

The term "Potential National Income Benefit from Avoided Chronic Climate Damages" refers to the potential economic advantage or financial gain that a nation could experience by preventing or mitigating long-term damages caused by climate change.

It represents the estimated monetary benefit a country might achieve by avoiding or reducing the negative impacts of chronic climate-related issues such as sea-level rise, extreme weather events, changing agricultural patterns, health crises, infrastructure damage, and other consequences of global climate change.

Calculating this benefit typically involves complex economic modeling and forecasting, considering various scenarios and the potential costs associated with climate-related damages over time. It involves estimating the value of avoided damages, losses, or costs that would have occurred if appropriate measures were not taken to mitigate the effects of climate change.

Assessments of potential income benefits from avoided chronic climate damages can provide valuable insights to policymakers, helping them make informed decisions regarding climate change mitigation and adaptation strategies, resource allocation, and policy development aimed at minimizing future economic losses.

Plot showing prediction in Benefit from avoiding climate risks from 2020 to 2100

This dataset appears to contain projections and simulated data related to benefits if the climate change impacts can be avoided, specifically assessing potential damages or effects on the United States under different scenarios and percentiles. Here's an explanation of the columns:

Country: The country being analyzed or evaluated, which in this case is the United States.

Model: It refers to the climate model or simulation tool used to generate these projections.

Scenario: This column specifies the scenario being considered. For example, "Below 2°C," indicates scenarios where efforts are made to limit global warming to below a 2-degree Celsius increase compared to pre-industrial levels.

Damage: This represents the level or extent of damage or impact being assessed. It's categorized as "High" or "Median," likely representing different severity levels or estimates of damages.

Percentile: This column indicates different percentiles, representing different levels of certainty or probability associated with the projected damages. The values 5, 50, and 95 typically correspond to low, median, and high percentiles in a statistical context.

Years (2020-2100): These columns contain the projected or simulated data for the years 2020 through 2100. The numerical values represent the estimated damages or impacts under the specified scenario, model, damage level, and percentile for each year.

Plot showing prediction in Benefits due to climate risks prevention from 2020 to 2100

Please access the dataset below to see the index number and corresponding data. The 'index' is used as legends for the plots due to shortage of space.

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Access the complete dataset here: https://drive.google.com/file/d/1ElVRbWf2lYniXK1KKBn3r8M8bJLaAAS6/view?usp=drive_link