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Source code for creating the Sea Level Impacts Input Dataset by Elevation, Region, and Scenario (SLIIDERS) datasets

Authors: Depsky, Nicholas; Bolliger, Ian; Allen, Daniel; Choi, Jun Ho; Delgado, Michael; Greenstone, Michael; Hamidi, Ali; +3 Authors

Source code for creating the Sea Level Impacts Input Dataset by Elevation, Region, and Scenario (SLIIDERS) datasets

Abstract

NOTE: As of Mar 21, 2023 this record has been deprecated. Both source code and resulting data are now hosted in the same record (6449230). This record contains newer versions from what you can see in this record ------------- This deposit hosts the code and three input datasets used to create the SLIIDERS-ECON and SLIIDERS-SLR datasets. The SLIIDERS datasets contain current and forecasted physical and socioeconomic metrics from 2000-2100 - organized by coastal segment, elevation slice, and scenario - for use as inputs to global coastal climate impacts research. SLIIDERS-ECON contains socioeconomic variables, varying horizontally and vertically over space. SLIIDERS-SLR contains Monte Carlo projections of Local Sea Level Rise under different emissions and ice sheet dynamics assumptions, based on the outputs of LocalizeSL. Coastal segments in SLIIDERS-ECON can be matched to gridded LSLR projections in SLIIDERS-SLR via the SLR_site key. All work utilizing this code or the resulting SLIIDERS datasets should cite Depsky, Bolliger et al. 2022 (in prep.). See License for details. This code is maintained in a Github repository at https://github.com/ClimateImpactLab/sliiders. Please see the Github repository for code updates and further documentation. Aside from the three manually-generated input files hosted in this repository, almost all inputs needed to generate SLIIDERS are publicly available, and scripts to download these inputs are provided within this source code. The one exception is the CoastalDEM digital elevation map, which may be licensed through Climate Central.

Keywords

climate change, natural hazards, sea level rise, climate adaptation, climate economics, climate impacts

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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.
BIP!Popularity provided by BIP!
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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