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# DSCIM: The Data-driven Spatial Climate Impact Model
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This Python library enables the calculation of a sector integrated social cost of carbon
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(SCC) using a variety of valuation methods and assumptions. The main purpose of this
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This Python library enables the calculation of sector-specific partial social cost of greenhouse gases (SC-GHG) and SCGHGs that are combined across sectors using a variety of valuation methods and assumptions. The main purpose of this
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library is to parse the monetized spatial damages from different sectors and integrate them
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using different options (or menu options) that encompass different decisions, such as
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using different options ("menu options") that encompass different decisions, such as
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discount levels, discount strategies, and different considerations related to
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economic and climate uncertainty.
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