Convection over sea ice leads: large eddy simulation data

The data set consists of time-averaged large eddy simulation (LES) data of simulations of the convection over leads in the polar sea ice regions. The applied model is the Parallelized Large-Eddy Simulation Model (PALM) [Maronga et al. (2015), Raasch & Schröter (2001)]. All of the ten simulations...

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Main Authors: Zhou, Xu, Gryschka, Micha
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.908520
https://doi.org/10.1594/PANGAEA.908520
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.908520
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.908520 2024-10-29T17:47:31+00:00 Convection over sea ice leads: large eddy simulation data Zhou, Xu Gryschka, Micha 2019 text/tab-separated-values, 110 data points https://doi.pangaea.de/10.1594/PANGAEA.908520 https://doi.org/10.1594/PANGAEA.908520 en eng PANGAEA Michaelis, Janosch; Lüpkes, Christof; Zhou, Xu; Gryschka, Micha; Gryanik, V M (2020): Influence of Lead width on the Turbulent Flow Over Sea Ice Leads: Modeling and Parametrization. Journal of Geophysical Research: Atmospheres, 125(15), e2019JD031996, https://doi.org/10.1029/2019JD031996 Maronga, Björn; Gryschka, Micha; Heinze, Rieke; Hoffmann, Fabian; Kanani-Sühring, Farah; Keck, Marius; Ketelsen, K; Letzel, M O; Sühring, Matthias; Raasch, Siegfried (2015): The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives. Geoscientific Model Development Discussions, 8(2), 1539-1637, https://doi.org/10.15488/27 Raasch, Siegfried; Schröter, Michael (2001): PALM - A large-eddy simulation model performing on massively parallel computers. Meteorologische Zeitschrift, 10(5), 363-372, https://doi.org/10.1127/0941-2948/2001/0010-0363 https://doi.pangaea.de/10.1594/PANGAEA.908520 https://doi.org/10.1594/PANGAEA.908520 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess convection over sea ice leads File format File name File size Large eddy simulation Lead width Scenario Surface temperature Uniform resource locator/link to file Wind speed dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.90852010.1029/2019JD03199610.15488/2710.1127/0941-2948/2001/0010-0363 2024-10-02T00:42:44Z The data set consists of time-averaged large eddy simulation (LES) data of simulations of the convection over leads in the polar sea ice regions. The applied model is the Parallelized Large-Eddy Simulation Model (PALM) [Maronga et al. (2015), Raasch & Schröter (2001)]. All of the ten simulations represent a near lead-perpendicular inflow in the atmospheric boundary layer (ABL) over the leads, where the simulations differ in the lead width L, and where partly the flow over two consecutive leads has been simulated. All simulations represent idealized scenarios of a typical springtime ABL in the polar ocean regions. Hence, the data is not georeferenced and the outputs are given with respect to a Cartesian coordinate system. For each simulation, two model output files are available. All files with “xz” refer to vertical cross-sections in lead-perpendicular direction, where the respective model variables are averaged in lead-parallel direction. All files with “xy” refer to values at the surface. All model outputs are averaged in time over a period of 3600 seconds and outputs are available for an output time interval of 900 seconds. The simulations differ in lead width L, in the upstream ABL-averaged wind speed U (or here: ff), and in the surface temperature of sea ice Tice (or here: Surf temp). More details on the respective setup of the scenarios and a description of the applied model version of PALM are given in the corresponding publication (see section 2 and Table 1). More details on the LES variables are given in the PALM-documentation: https://palm.muk.uni-hannover.de/trac/wiki/doc/app/d3par Dataset Sea ice PANGAEA - Data Publisher for Earth & Environmental Science
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic convection over sea ice leads
File format
File name
File size
Large eddy simulation
Lead width
Scenario
Surface temperature
Uniform resource locator/link to file
Wind speed
spellingShingle convection over sea ice leads
File format
File name
File size
Large eddy simulation
Lead width
Scenario
Surface temperature
Uniform resource locator/link to file
Wind speed
Zhou, Xu
Gryschka, Micha
Convection over sea ice leads: large eddy simulation data
topic_facet convection over sea ice leads
File format
File name
File size
Large eddy simulation
Lead width
Scenario
Surface temperature
Uniform resource locator/link to file
Wind speed
description The data set consists of time-averaged large eddy simulation (LES) data of simulations of the convection over leads in the polar sea ice regions. The applied model is the Parallelized Large-Eddy Simulation Model (PALM) [Maronga et al. (2015), Raasch & Schröter (2001)]. All of the ten simulations represent a near lead-perpendicular inflow in the atmospheric boundary layer (ABL) over the leads, where the simulations differ in the lead width L, and where partly the flow over two consecutive leads has been simulated. All simulations represent idealized scenarios of a typical springtime ABL in the polar ocean regions. Hence, the data is not georeferenced and the outputs are given with respect to a Cartesian coordinate system. For each simulation, two model output files are available. All files with “xz” refer to vertical cross-sections in lead-perpendicular direction, where the respective model variables are averaged in lead-parallel direction. All files with “xy” refer to values at the surface. All model outputs are averaged in time over a period of 3600 seconds and outputs are available for an output time interval of 900 seconds. The simulations differ in lead width L, in the upstream ABL-averaged wind speed U (or here: ff), and in the surface temperature of sea ice Tice (or here: Surf temp). More details on the respective setup of the scenarios and a description of the applied model version of PALM are given in the corresponding publication (see section 2 and Table 1). More details on the LES variables are given in the PALM-documentation: https://palm.muk.uni-hannover.de/trac/wiki/doc/app/d3par
format Dataset
author Zhou, Xu
Gryschka, Micha
author_facet Zhou, Xu
Gryschka, Micha
author_sort Zhou, Xu
title Convection over sea ice leads: large eddy simulation data
title_short Convection over sea ice leads: large eddy simulation data
title_full Convection over sea ice leads: large eddy simulation data
title_fullStr Convection over sea ice leads: large eddy simulation data
title_full_unstemmed Convection over sea ice leads: large eddy simulation data
title_sort convection over sea ice leads: large eddy simulation data
publisher PANGAEA
publishDate 2019
url https://doi.pangaea.de/10.1594/PANGAEA.908520
https://doi.org/10.1594/PANGAEA.908520
genre Sea ice
genre_facet Sea ice
op_relation Michaelis, Janosch; Lüpkes, Christof; Zhou, Xu; Gryschka, Micha; Gryanik, V M (2020): Influence of Lead width on the Turbulent Flow Over Sea Ice Leads: Modeling and Parametrization. Journal of Geophysical Research: Atmospheres, 125(15), e2019JD031996, https://doi.org/10.1029/2019JD031996
Maronga, Björn; Gryschka, Micha; Heinze, Rieke; Hoffmann, Fabian; Kanani-Sühring, Farah; Keck, Marius; Ketelsen, K; Letzel, M O; Sühring, Matthias; Raasch, Siegfried (2015): The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives. Geoscientific Model Development Discussions, 8(2), 1539-1637, https://doi.org/10.15488/27
Raasch, Siegfried; Schröter, Michael (2001): PALM - A large-eddy simulation model performing on massively parallel computers. Meteorologische Zeitschrift, 10(5), 363-372, https://doi.org/10.1127/0941-2948/2001/0010-0363
https://doi.pangaea.de/10.1594/PANGAEA.908520
https://doi.org/10.1594/PANGAEA.908520
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.90852010.1029/2019JD03199610.15488/2710.1127/0941-2948/2001/0010-0363
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