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Global relative rate of natural capital depletion of the atmosphere, measured through temperature anomalies and emissions of non-GHG pollutants. The relative depletion rates enable the identification of hotspots of natural capital depletion (defined as the top 20% of values), where human activities will be associated with higher risks of ecosystem service loss or degradation. This will, in turn, present higher risks for financial institutions investing in these areas.<\/span><\/span><\/p>

Temperature trend values for 1990-2019 were converted to absolute values and normalised between 0 and 1. Annual emissions gridmaps (2015) for 9 non-GHG substances were normalised between 0 and 1, then summed. The combined non-GHG emissions layers was then re-scaled from 0-1, and log(x+1) transformed. The temperature anomalies and non-GHG emissions layers were summed and then re-scaled (0-1) to produce the atmosphere depletion layer.<\/span><\/span><\/p>

GISS Surface temperature analysis data used for temperature anomalies (<\/span><\/span>https://data.giss.nasa.gov/gistemp/<\/a>) and EC JRC EDGAR data for non-GHG emissions (<\/span><\/span>https://edgar.jrc.ec.europa.eu/overview.php?v=50_AP<\/a>).<\/span><\/span><\/p><\/div><\/div><\/div>", "name": "nchs_ter_atmos_dep", "description": "

Global relative rate of natural capital depletion of the atmosphere, measured through temperature anomalies and emissions of non-GHG pollutants. The relative depletion rates enable the identification of hotspots of natural capital depletion (defined as the top 20% of values), where human activities will be associated with higher risks of ecosystem service loss or degradation. This will, in turn, present higher risks for financial institutions investing in these areas.<\/span><\/span><\/p>

Temperature trend values for 1990-2019 were converted to absolute values and normalised between 0 and 1. Annual emissions gridmaps (2015) for 9 non-GHG substances were normalised between 0 and 1, then summed. The combined non-GHG emissions layers was then re-scaled from 0-1, and log(x+1) transformed. The temperature anomalies and non-GHG emissions layers were summed and then re-scaled (0-1) to produce the atmosphere depletion layer.<\/span><\/span><\/p>

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