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FUTURES land change forecasts in response to flooding in Charleston area, South Carolina (2019-2050)

Authors: Sanchez, Georgina M.; Petrasova, Anna;

FUTURES land change forecasts in response to flooding in Charleston area, South Carolina (2019-2050)

Abstract

Climate-aware scenarios of FUTURES land change projections in Charleston area (Cherleston, Dorchester, Berkeley) for 2019-2050. Zipped folder results contains FUTURES v3 simulation runs for 3 counties in South Carolina, USA (Charleston, Berkeley, Dorchester) from 2019 to 2050. Included are five climate-aware scenarios (reactive, managed retreat, resist, polarized population, trapped population) and one scenario which does not take future climate conditions into account (dynamic development). Each folder contains 50 monte-carlo simulation results with developed_seed_X.tif and adapted_seed_X.tif where X goes from 1 to 50. Values of developed_seed_X.tif range from -31 to 31, where the positive values represent simulation step when an undeveloped pixel was developed and the negative values represent simulation step when a developed pixel was abandoned. Zero stands for initial development. For example, value -11 means the particular pixel was abandoned in 2030. Note that values of raster files in Dynamic development folder range from -1 to 31, where -1 means undeveloped and the rest is the same as above. Values of adapted_seed_X.tif range from 0 to 100, where 0 means trapped (flooded but no adaptation), the other values represent return period for which the pixel is adapted (e.g. 2-, 5-, 10-, 20-, 50- and 100-year flood). The files' CRS is Albers Conic Equal Area, NAD83(2011) datum.

Keywords

land change, flooding, resilience, urbanization

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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