ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)

Estimates of daily surface meltwater production across the Antarctic Peninsula over 2007-2022 at 4.45-km spatial resolution. These data weregenerated using a random forest model combining enhanced resolution ASCAT C-Band radar backscatter, ASCAT-detected surface melt presence (https://zenodo.org/rec...

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Main Authors: Pan, Zhuolai, Trusel, Luke
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7995543
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spelling ftzenodo:oai:zenodo.org:7995543 2024-09-15T17:41:53+00:00 ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022) Pan, Zhuolai Trusel, Luke 2023-05-31 https://doi.org/10.5281/zenodo.7995543 unknown Zenodo https://doi.org/10.5281/zenodo.7995542 https://doi.org/10.5281/zenodo.7995543 oai:zenodo.org:7995543 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.799554310.5281/zenodo.7995542 2024-07-25T20:58:48Z Estimates of daily surface meltwater production across the Antarctic Peninsula over 2007-2022 at 4.45-km spatial resolution. These data weregenerated using a random forest model combining enhanced resolution ASCAT C-Band radar backscatter, ASCAT-detected surface melt presence (https://zenodo.org/record/7995998), and ERA5 sensible and latent heat fluxes, downward shortwave and longwave radiation, and 2-m temperature. Initial model training was undertaken using meteorological observations and surface melt estimates from surface energy balance modelingat several Larsen C ice shelf automated weather stations (Jakobs et al., 2020), before scaling up to the Antarctic Peninsula region using ERA5. This record will be updated upon publication of a forthcoming manuscript. Please reach out to Luke Trusel with questions! Other/Unknown Material Antarc* Antarctic Antarctic Peninsula Ice Shelf Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Estimates of daily surface meltwater production across the Antarctic Peninsula over 2007-2022 at 4.45-km spatial resolution. These data weregenerated using a random forest model combining enhanced resolution ASCAT C-Band radar backscatter, ASCAT-detected surface melt presence (https://zenodo.org/record/7995998), and ERA5 sensible and latent heat fluxes, downward shortwave and longwave radiation, and 2-m temperature. Initial model training was undertaken using meteorological observations and surface melt estimates from surface energy balance modelingat several Larsen C ice shelf automated weather stations (Jakobs et al., 2020), before scaling up to the Antarctic Peninsula region using ERA5. This record will be updated upon publication of a forthcoming manuscript. Please reach out to Luke Trusel with questions!
format Other/Unknown Material
author Pan, Zhuolai
Trusel, Luke
spellingShingle Pan, Zhuolai
Trusel, Luke
ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)
author_facet Pan, Zhuolai
Trusel, Luke
author_sort Pan, Zhuolai
title ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)
title_short ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)
title_full ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)
title_fullStr ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)
title_full_unstemmed ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)
title_sort ascat-era5 antarctic peninsula daily surface meltwater production (2007-2022)
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.7995543
genre Antarc*
Antarctic
Antarctic Peninsula
Ice Shelf
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Ice Shelf
op_relation https://doi.org/10.5281/zenodo.7995542
https://doi.org/10.5281/zenodo.7995543
oai:zenodo.org:7995543
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.799554310.5281/zenodo.7995542
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