Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM"

These data are a set of 1yr simulations using the MIROC6-SPRINTARS global aerosol-climate model with different treatments of precipitation (i.e., diagnostic and prognostic). The outputs include diagnostics from the satellite simulator COSP2. The data are used in the manuscript entitled "Too fre...

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Bibliographic Details
Main Authors: Imura, Yuki, Michibata, Takuro
Format: Dataset
Language:unknown
Published: Zenodo 2022
Subjects:
MIROC6
Satellite Simulator
Climate
Arctic
Online Access:https://dx.doi.org/10.5281/zenodo.5977099
https://zenodo.org/record/5977099
id ftdatacite:10.5281/zenodo.5977099
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5977099 2023-05-15T14:48:58+02:00 Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM" Imura, Yuki Michibata, Takuro 2022 https://dx.doi.org/10.5281/zenodo.5977099 https://zenodo.org/record/5977099 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5977098 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 CC-BY MIROC6 Satellite Simulator Climate Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.5977099 https://doi.org/10.5281/zenodo.5977098 2022-03-10T11:51:16Z These data are a set of 1yr simulations using the MIROC6-SPRINTARS global aerosol-climate model with different treatments of precipitation (i.e., diagnostic and prognostic). The outputs include diagnostics from the satellite simulator COSP2. The data are used in the manuscript entitled "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM". All data used in this study are available from the corresponding author upon request. Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic MIROC6
Satellite Simulator
Climate
spellingShingle MIROC6
Satellite Simulator
Climate
Imura, Yuki
Michibata, Takuro
Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM"
topic_facet MIROC6
Satellite Simulator
Climate
description These data are a set of 1yr simulations using the MIROC6-SPRINTARS global aerosol-climate model with different treatments of precipitation (i.e., diagnostic and prognostic). The outputs include diagnostics from the satellite simulator COSP2. The data are used in the manuscript entitled "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM". All data used in this study are available from the corresponding author upon request.
format Dataset
author Imura, Yuki
Michibata, Takuro
author_facet Imura, Yuki
Michibata, Takuro
author_sort Imura, Yuki
title Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM"
title_short Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM"
title_full Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM"
title_fullStr Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM"
title_full_unstemmed Data for the publication "Too frequent and too light Arctic snow due to incorrect precipitation phase partitioning in the MIROC6 GCM"
title_sort data for the publication "too frequent and too light arctic snow due to incorrect precipitation phase partitioning in the miroc6 gcm"
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.5977099
https://zenodo.org/record/5977099
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://dx.doi.org/10.5281/zenodo.5977098
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_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.5977099
https://doi.org/10.5281/zenodo.5977098
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