Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides

Data are available at: https://arcticdata.io/data/10.18739/A26T0GX63. This data set is part of an NSF project to understand the role of tides and high frequency winds in influencing the Arctic ocean stratification and sea ice. A high resolution model was configured, with horizontal resolution of 3.5...

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Main Author: An Nguyen
Format: Dataset
Language:unknown
Published: Arctic Data Center 2022
Subjects:
Online Access:https://doi.org/10.18739/A26T0GX63
id dataone:doi:10.18739/A26T0GX63
record_format openpolar
spelling dataone:doi:10.18739/A26T0GX63 2024-06-03T18:46:38+00:00 Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides An Nguyen Arctic Ocean ENVELOPE(-180.0,180.0,90.0,70.0) BEGINDATE: 2014-01-01T00:00:00Z ENDDATE: 2014-12-31T00:00:00Z 2022-05-12T00:00:00Z https://doi.org/10.18739/A26T0GX63 unknown Arctic Data Center Numerical model, tidal forcing Dataset 2022 dataone:urn:node:ARCTIC https://doi.org/10.18739/A26T0GX63 2024-06-03T18:18:35Z Data are available at: https://arcticdata.io/data/10.18739/A26T0GX63. This data set is part of an NSF project to understand the role of tides and high frequency winds in influencing the Arctic ocean stratification and sea ice. A high resolution model was configured, with horizontal resolution of 3.5km and 90 vertical levels varying from 1m at the surface to 200m at the ocean floor. Three runs were set up, (1) with JRA55 full atmospheric forcing and with tides, (2) same as (1) but without tides, (3) same as (2) but with 48-hour running mean winds. The runs were spun up from WOA13 version 1 and zero velocity for 12 years, then run for 2014 with outputs of basic model variables for diagnostics. As such, all three runs were not constrained to observations and had biases in watermass, circulations, and sea ice representations. In the data set, monthly mean hydrography (T,S,U,V) and 2D ocean-seaice and atmospheric forcings are provided for 3 runs to see how the mean ocean-sea ice states are different for the year 2014. In addition, the data set provides instruction for how to set up the runs and all input binary fields, model code, input parameters required to generate high resolution model outputs for runs with tidal forcings and/or low frequency winds for the year 2014. The model outputs are in subdirectories called nc_tiles_monthly_[tides,notides,notides_LFwinds]. Model grid is provided in nctiles_grid. A figure tile_Arctic.png provides geographic map of where the tiles are located, and the "available_diagnostics.log" file provides detailed description and units of the output variables. For re-running the model, three subfolders are provided as follows: code_c67 and NAMELISTS_c67 are the model code and input parameters that is tied to the open-sourced MITgcm checkpoint 67 (https://github.com/MITgcm/MITgcm/archive/checkpoint67.zip). input_binaries: inputs in raw binary format (float32) required for the runs, including the model grid (tile00*.mitgrid), bathymetry, pick-up and associated meta files, lateral open boundary T,S,U,V extracted from ASTE Release 1 (https://arcticdata.io/catalog/portals/ASTE), surface forcings from the Japanese Reanalysis JRA55 product, and tidal potential field generated from open-source code distributed at https://github.com/joernc/tidal-potential. Finally, a README.txt file provides the brief overview of the data set, and a PDF file Highres_runs_outputs_guide.pdf provides more in-depth details and structures of the outputs, as well as matlab scripts to reorganize the model raw binary outputs into tiles in binary and netcdf for efficient storage and post-processing. Dataset Arctic Arctic Ocean Sea ice Arctic Data Center (via DataONE) Arctic Arctic Ocean ENVELOPE(-180.0,180.0,90.0,70.0)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic Numerical model, tidal forcing
spellingShingle Numerical model, tidal forcing
An Nguyen
Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides
topic_facet Numerical model, tidal forcing
description Data are available at: https://arcticdata.io/data/10.18739/A26T0GX63. This data set is part of an NSF project to understand the role of tides and high frequency winds in influencing the Arctic ocean stratification and sea ice. A high resolution model was configured, with horizontal resolution of 3.5km and 90 vertical levels varying from 1m at the surface to 200m at the ocean floor. Three runs were set up, (1) with JRA55 full atmospheric forcing and with tides, (2) same as (1) but without tides, (3) same as (2) but with 48-hour running mean winds. The runs were spun up from WOA13 version 1 and zero velocity for 12 years, then run for 2014 with outputs of basic model variables for diagnostics. As such, all three runs were not constrained to observations and had biases in watermass, circulations, and sea ice representations. In the data set, monthly mean hydrography (T,S,U,V) and 2D ocean-seaice and atmospheric forcings are provided for 3 runs to see how the mean ocean-sea ice states are different for the year 2014. In addition, the data set provides instruction for how to set up the runs and all input binary fields, model code, input parameters required to generate high resolution model outputs for runs with tidal forcings and/or low frequency winds for the year 2014. The model outputs are in subdirectories called nc_tiles_monthly_[tides,notides,notides_LFwinds]. Model grid is provided in nctiles_grid. A figure tile_Arctic.png provides geographic map of where the tiles are located, and the "available_diagnostics.log" file provides detailed description and units of the output variables. For re-running the model, three subfolders are provided as follows: code_c67 and NAMELISTS_c67 are the model code and input parameters that is tied to the open-sourced MITgcm checkpoint 67 (https://github.com/MITgcm/MITgcm/archive/checkpoint67.zip). input_binaries: inputs in raw binary format (float32) required for the runs, including the model grid (tile00*.mitgrid), bathymetry, pick-up and associated meta files, lateral open boundary T,S,U,V extracted from ASTE Release 1 (https://arcticdata.io/catalog/portals/ASTE), surface forcings from the Japanese Reanalysis JRA55 product, and tidal potential field generated from open-source code distributed at https://github.com/joernc/tidal-potential. Finally, a README.txt file provides the brief overview of the data set, and a PDF file Highres_runs_outputs_guide.pdf provides more in-depth details and structures of the outputs, as well as matlab scripts to reorganize the model raw binary outputs into tiles in binary and netcdf for efficient storage and post-processing.
format Dataset
author An Nguyen
author_facet An Nguyen
author_sort An Nguyen
title Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides
title_short Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides
title_full Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides
title_fullStr Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides
title_full_unstemmed Arctic Ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides
title_sort arctic ocean 3.5 kilometer model monthly mean outputs for 2014 and configuration for rerunning model with and without tides
publisher Arctic Data Center
publishDate 2022
url https://doi.org/10.18739/A26T0GX63
op_coverage Arctic Ocean
ENVELOPE(-180.0,180.0,90.0,70.0)
BEGINDATE: 2014-01-01T00:00:00Z ENDDATE: 2014-12-31T00:00:00Z
long_lat ENVELOPE(-180.0,180.0,90.0,70.0)
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_doi https://doi.org/10.18739/A26T0GX63
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