Arctic water vapor anomalies based on monthly CESM experiment

This dataset shows the internal anomalies ofArctic water vapor and other related variables by usingthe monthly data from historical/RCP8.5 experiments based on theCommunity Earth System Model (CESM), which has40-member runs during 1920-2005/2006-2050. To characterize internal variability, we remove...

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Main Author: Song Shutong
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2022
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7420719
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record_format openpolar
spelling ftzenodo:oai:zenodo.org:7420719 2024-09-09T19:23:13+00:00 Arctic water vapor anomalies based on monthly CESM experiment Song Shutong 2022-12-10 https://doi.org/10.5281/zenodo.7420719 unknown Zenodo https://doi.org/10.5281/zenodo.7420718 https://doi.org/10.5281/zenodo.7420719 oai:zenodo.org:7420719 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.742071910.5281/zenodo.7420718 2024-07-26T11:49:56Z This dataset shows the internal anomalies ofArctic water vapor and other related variables by usingthe monthly data from historical/RCP8.5 experiments based on theCommunity Earth System Model (CESM), which has40-member runs during 1920-2005/2006-2050. To characterize internal variability, we remove the ensemble mean (radiative forced component)and focus ontheresidual (internal) variability. Then we usea 10-year low-passLanczos filter to extract decadal variability, and the difference between the internal variability and its decadal component is treated as interannual compoent. Other/Unknown Material Arctic Zenodo Arctic
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description This dataset shows the internal anomalies ofArctic water vapor and other related variables by usingthe monthly data from historical/RCP8.5 experiments based on theCommunity Earth System Model (CESM), which has40-member runs during 1920-2005/2006-2050. To characterize internal variability, we remove the ensemble mean (radiative forced component)and focus ontheresidual (internal) variability. Then we usea 10-year low-passLanczos filter to extract decadal variability, and the difference between the internal variability and its decadal component is treated as interannual compoent.
format Other/Unknown Material
author Song Shutong
spellingShingle Song Shutong
Arctic water vapor anomalies based on monthly CESM experiment
author_facet Song Shutong
author_sort Song Shutong
title Arctic water vapor anomalies based on monthly CESM experiment
title_short Arctic water vapor anomalies based on monthly CESM experiment
title_full Arctic water vapor anomalies based on monthly CESM experiment
title_fullStr Arctic water vapor anomalies based on monthly CESM experiment
title_full_unstemmed Arctic water vapor anomalies based on monthly CESM experiment
title_sort arctic water vapor anomalies based on monthly cesm experiment
publisher Zenodo
publishDate 2022
url https://doi.org/10.5281/zenodo.7420719
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://doi.org/10.5281/zenodo.7420718
https://doi.org/10.5281/zenodo.7420719
oai:zenodo.org:7420719
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.742071910.5281/zenodo.7420718
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