Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset

The two datasets in this repository contain the results of the E3SMv1 simulation and the EMC2 instrument simulator results in NetCDF format. These results were used to compare with MARCUS remote sensing observations in the Desai et al. (2023) paper entitled "Ship-based Observations and Climate...

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Main Author: Desai, N (via Mendeley Data)
Language:unknown
Published: 2023
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-62-td1t
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:282428
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:282428
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:282428 2023-07-02T03:33:46+02:00 Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset Desai, N (via Mendeley Data) 2023-04-27T22:42:41.034Z http://nbn-resolving.org/urn:nbn:nl:ui:13-62-td1t https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:282428 unknown 1 y2m5kxvncx http://nbn-resolving.org/urn:nbn:nl:ui:13-62-td1t doi:10.17632/y2m5kxvncx.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:282428 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Neel Desai Interdisciplinary sciences 2023 ftdans https://doi.org/10.17632/y2m5kxvncx.1 2023-06-13T13:32:44Z The two datasets in this repository contain the results of the E3SMv1 simulation and the EMC2 instrument simulator results in NetCDF format. These results were used to compare with MARCUS remote sensing observations in the Desai et al. (2023) paper entitled "Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean". E3SMv1: In this study, we used the atmospheric component of the DOE’s E3SMv1 model (Rasch et al., 2019). In E3SMv1, the cloud microphysics in stratiform clouds is parameterized using the two-moment MG2 scheme (Gettelman & Morrison, 2015). The E3SMv1 model was integrated from 1 April 2017 to 30 March 2018 at 1 deg horizontal resolution and 72 vertical layers with a time step of 30 mins. The results during the MARCUS campaign are used for analysis while the first approximate 6 months are treated as model spin-up. To provide an apples-to-apples comparison, the modeled cloud properties were sampled along the MARCUS ship track every 10 min.The file MARCUS.int_1min.2017-04-01-00000.nc contains the E3SMv1 results for the entire MARCUS campaign from 2017_10_30 to 2018_03_23 in one file. It also contains all the relevant variables such as CLDICE, CLDLIQ, RAINQM, SNOWQM which were used to obtain cloud ice, liq, rain and snow respectively. The file MARCUS_flight_addOUT_HM10.cam.MARCUS_addOUT.int_1min.2017-04-01-00000 contains the same E3Smv1 simulation but with the Hallett Mossop term increased by 10 times.The file MARCUS_flight_addOUT_HM100.cam.MARCUS_addOUT.int_1min.2017-04-01-00000 contains the same E3Smv1 simulation but with the Hallett Mossop term increased by 100 times.EMC2: The Earth Model Column Collaboratory (EMC2) is an open-source remote sensing instrument simulator and sub-column generator which generates lidar and radar variables from the E3SM large scale model output (Silber et al., 2022). The simulator generates 20 sub-columns within the E3SM time and vertical resolution. This provides a finer scale output grid and allows direct comparison of cloud phase ... Other/Unknown Material Southern Ocean Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Hallett ENVELOPE(170.217,170.217,-72.317,-72.317) Morrison ENVELOPE(-63.533,-63.533,-66.167,-66.167) Southern Ocean
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Interdisciplinary sciences
spellingShingle Interdisciplinary sciences
Desai, N (via Mendeley Data)
Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset
topic_facet Interdisciplinary sciences
description The two datasets in this repository contain the results of the E3SMv1 simulation and the EMC2 instrument simulator results in NetCDF format. These results were used to compare with MARCUS remote sensing observations in the Desai et al. (2023) paper entitled "Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean". E3SMv1: In this study, we used the atmospheric component of the DOE’s E3SMv1 model (Rasch et al., 2019). In E3SMv1, the cloud microphysics in stratiform clouds is parameterized using the two-moment MG2 scheme (Gettelman & Morrison, 2015). The E3SMv1 model was integrated from 1 April 2017 to 30 March 2018 at 1 deg horizontal resolution and 72 vertical layers with a time step of 30 mins. The results during the MARCUS campaign are used for analysis while the first approximate 6 months are treated as model spin-up. To provide an apples-to-apples comparison, the modeled cloud properties were sampled along the MARCUS ship track every 10 min.The file MARCUS.int_1min.2017-04-01-00000.nc contains the E3SMv1 results for the entire MARCUS campaign from 2017_10_30 to 2018_03_23 in one file. It also contains all the relevant variables such as CLDICE, CLDLIQ, RAINQM, SNOWQM which were used to obtain cloud ice, liq, rain and snow respectively. The file MARCUS_flight_addOUT_HM10.cam.MARCUS_addOUT.int_1min.2017-04-01-00000 contains the same E3Smv1 simulation but with the Hallett Mossop term increased by 10 times.The file MARCUS_flight_addOUT_HM100.cam.MARCUS_addOUT.int_1min.2017-04-01-00000 contains the same E3Smv1 simulation but with the Hallett Mossop term increased by 100 times.EMC2: The Earth Model Column Collaboratory (EMC2) is an open-source remote sensing instrument simulator and sub-column generator which generates lidar and radar variables from the E3SM large scale model output (Silber et al., 2022). The simulator generates 20 sub-columns within the E3SM time and vertical resolution. This provides a finer scale output grid and allows direct comparison of cloud phase ...
author Desai, N (via Mendeley Data)
author_facet Desai, N (via Mendeley Data)
author_sort Desai, N (via Mendeley Data)
title Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset
title_short Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset
title_full Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset
title_fullStr Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset
title_full_unstemmed Ship-based Observations and Climate Model Simulation of Cloud Phase over the Southern Ocean dataset
title_sort ship-based observations and climate model simulation of cloud phase over the southern ocean dataset
publishDate 2023
url http://nbn-resolving.org/urn:nbn:nl:ui:13-62-td1t
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:282428
long_lat ENVELOPE(170.217,170.217,-72.317,-72.317)
ENVELOPE(-63.533,-63.533,-66.167,-66.167)
geographic Hallett
Morrison
Southern Ocean
geographic_facet Hallett
Morrison
Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation 1
y2m5kxvncx
http://nbn-resolving.org/urn:nbn:nl:ui:13-62-td1t
doi:10.17632/y2m5kxvncx.1
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:282428
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
Neel Desai
op_doi https://doi.org/10.17632/y2m5kxvncx.1
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