Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ...
Results from the Python Coastal Impacts and Adaptation Model (pyCIAM), along with the inputs and source code necessary to replicate these outputs and the results presented in Depsky et al. 2023 (under review). All zipped Zarr stores can be downloaded and accessed locally or can be directly accessed...
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Online Access: | https://dx.doi.org/10.5281/zenodo.7693869 https://zenodo.org/record/7693869 |
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ftdatacite:10.5281/zenodo.7693869 2023-10-01T03:56:41+02:00 Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ... Bolliger, Ian Depsky, Nicholas Allen, Daniel Choi, Jun Ho Delgado, Michael Greenstone, Michael Hamidi, Ali Houser, Trevor Hsiang, Solomon Kopp, Robert E. 2023 https://dx.doi.org/10.5281/zenodo.7693869 https://zenodo.org/record/7693869 en eng Zenodo https://github.com/ClimateImpactLab/pyCIAM https://github.com/delavane/CIAM https://zenodo.org/communities/climateimpactlab https://dx.doi.org/10.5281/zenodo.6449230 https://dx.doi.org/10.5281/zenodo.6419953 https://github.com/ClimateImpactLab/pyCIAM https://dx.doi.org/10.5281/zenodo.5914709 https://dx.doi.org/10.5281/zenodo.593357 https://dx.doi.org/10.1007/s10584-016-1675-4 https://github.com/delavane/CIAM https://dx.doi.org/10.1073/pnas.1817205116 https://dx.doi.org/10.1002/2014ef000239 https://dx.doi.org/10.1038/s41586-021-03427-0 https://dx.doi.org/10.5281/zenodo.5951625 https://dx.doi.org/10.5281/zenodo.6014085 https://zenodo.org/communities/climateimpactlab Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess climate change climate adaptation economics climate impacts migration sea level rise natural hazards Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.769386910.5281/zenodo.644923010.5281/zenodo.641995310.5281/zenodo.591470910.5281/zenodo.59335710.1007/s10584-016-1675-410.1073/pnas.181720511610.1002/2014ef00023910.1038/s41586-021-03427-010.5281/zenodo.595162510.5281/zenodo 2023-09-04T13:32:38Z Results from the Python Coastal Impacts and Adaptation Model (pyCIAM), along with the inputs and source code necessary to replicate these outputs and the results presented in Depsky et al. 2023 (under review). All zipped Zarr stores can be downloaded and accessed locally or can be directly accessed via code similar to the following: <code class="language-python">from fsspec.implementations.zip import ZipFileSystem import xarray as xr xr.open_zarr(ZipFileSystem(url_of_file_in_record}}).get_mapper()) File Inventory Products pyCIAM_outputs.zarr.zip : Outputs of the pyCIAM model, using the SLIIDERS dataset to define socioeconomic and extreme sea level characteristics of coastal regions and the 17th, 50th, and 83rd quantiles of local sea level rise as projected by various modeling frameworks (LocalizeSL and FACTS) and for multiple emissions scenarios and ice sheet models. diaz2016_outputs.zarr.zip : A replication of the results from Diaz 2016 - the model upon which pyCIAM was built, using an identical ... Dataset Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Diaz ENVELOPE(-60.667,-60.667,-63.783,-63.783) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
climate change climate adaptation economics climate impacts migration sea level rise natural hazards |
spellingShingle |
climate change climate adaptation economics climate impacts migration sea level rise natural hazards Bolliger, Ian Depsky, Nicholas Allen, Daniel Choi, Jun Ho Delgado, Michael Greenstone, Michael Hamidi, Ali Houser, Trevor Hsiang, Solomon Kopp, Robert E. Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ... |
topic_facet |
climate change climate adaptation economics climate impacts migration sea level rise natural hazards |
description |
Results from the Python Coastal Impacts and Adaptation Model (pyCIAM), along with the inputs and source code necessary to replicate these outputs and the results presented in Depsky et al. 2023 (under review). All zipped Zarr stores can be downloaded and accessed locally or can be directly accessed via code similar to the following: <code class="language-python">from fsspec.implementations.zip import ZipFileSystem import xarray as xr xr.open_zarr(ZipFileSystem(url_of_file_in_record}}).get_mapper()) File Inventory Products pyCIAM_outputs.zarr.zip : Outputs of the pyCIAM model, using the SLIIDERS dataset to define socioeconomic and extreme sea level characteristics of coastal regions and the 17th, 50th, and 83rd quantiles of local sea level rise as projected by various modeling frameworks (LocalizeSL and FACTS) and for multiple emissions scenarios and ice sheet models. diaz2016_outputs.zarr.zip : A replication of the results from Diaz 2016 - the model upon which pyCIAM was built, using an identical ... |
format |
Dataset |
author |
Bolliger, Ian Depsky, Nicholas Allen, Daniel Choi, Jun Ho Delgado, Michael Greenstone, Michael Hamidi, Ali Houser, Trevor Hsiang, Solomon Kopp, Robert E. |
author_facet |
Bolliger, Ian Depsky, Nicholas Allen, Daniel Choi, Jun Ho Delgado, Michael Greenstone, Michael Hamidi, Ali Houser, Trevor Hsiang, Solomon Kopp, Robert E. |
author_sort |
Bolliger, Ian |
title |
Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ... |
title_short |
Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ... |
title_full |
Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ... |
title_fullStr |
Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ... |
title_full_unstemmed |
Estimates of Global Coastal Losses Under Multiple Sea Level Rise Scenarios ... |
title_sort |
estimates of global coastal losses under multiple sea level rise scenarios ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.7693869 https://zenodo.org/record/7693869 |
long_lat |
ENVELOPE(-60.667,-60.667,-63.783,-63.783) |
geographic |
Diaz |
geographic_facet |
Diaz |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
https://github.com/ClimateImpactLab/pyCIAM https://github.com/delavane/CIAM https://zenodo.org/communities/climateimpactlab https://dx.doi.org/10.5281/zenodo.6449230 https://dx.doi.org/10.5281/zenodo.6419953 https://github.com/ClimateImpactLab/pyCIAM https://dx.doi.org/10.5281/zenodo.5914709 https://dx.doi.org/10.5281/zenodo.593357 https://dx.doi.org/10.1007/s10584-016-1675-4 https://github.com/delavane/CIAM https://dx.doi.org/10.1073/pnas.1817205116 https://dx.doi.org/10.1002/2014ef000239 https://dx.doi.org/10.1038/s41586-021-03427-0 https://dx.doi.org/10.5281/zenodo.5951625 https://dx.doi.org/10.5281/zenodo.6014085 https://zenodo.org/communities/climateimpactlab |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.769386910.5281/zenodo.644923010.5281/zenodo.641995310.5281/zenodo.591470910.5281/zenodo.59335710.1007/s10584-016-1675-410.1073/pnas.181720511610.1002/2014ef00023910.1038/s41586-021-03427-010.5281/zenodo.595162510.5281/zenodo |
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1778526762214359040 |