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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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 |
_version_ |
1770273847008821248 |