NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April)
NESOSIM is a three-dimensional, two-layer (vertical), Eulerian snow on sea ice budget model developed with the primary aim of producing daily estimates of the depth and density of snow on sea ice across the polar oceans through the winter accumulation season (Petty et al., 2018). This repository con...
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ftdatacite:10.5281/zenodo.5899087 2023-05-15T15:09:13+02:00 NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April) Petty, Alek Cabaj, Alex 2021 https://dx.doi.org/10.5281/zenodo.5899087 https://zenodo.org/record/5899087 en eng Zenodo https://dx.doi.org/10.5281/zenodo.5164313 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 sea ice snow Dataset dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5899087 https://doi.org/10.5281/zenodo.5164313 2022-02-09T13:29:49Z NESOSIM is a three-dimensional, two-layer (vertical), Eulerian snow on sea ice budget model developed with the primary aim of producing daily estimates of the depth and density of snow on sea ice across the polar oceans through the winter accumulation season (Petty et al., 2018). This repository contains model output from September 1st 1980 to April 30th 2021 based on the NESOSIM v1.1 code release which is available on GitHub (https://github.com/akpetty/NESOSIM/tree/v1.1) and archived through Zenodo (10.5281/zenodo.4448355). More information about changes between the v1.0 and v1.1 model framework can be found in those links. A manuscript is being prepared which will provide further insights. The repository also includes a NESOSIM v1.1. daily gridded snow climatology using the mean (np.nanmean) of all data available between September 1 2010 and April 30 2020. Data production: Data are re-initialized at the end of summer each year (September 1st) using summer near-surface air temperature-scaled initial snow depths and run through until the end of April of the following year. The 1987-1988 winter is missing due to the lack of passive-microwave derived ice concentration data available during this period. Daily data are generated on a 100 km x 100 km North Polar Stereographic grid (EPSG: 3413) across the entire Arctic Ocean including the peripheral seas. Forcings: NB: Recent year runs often require the use of near-real-time data products, so the underlying forcings used in this v1.1 release can change in time, as noted below: Snowfall: European Center for Medium Range Weather Forecasts (ECMWF) ERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021) + CloudSat scaling (Cabaj et al., 2020). Near-surface winds: ECMWF ERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021). Sea ice drift: NSIDC Polar Pathfinder v4 (https://nsidc.org/data/nsidc-0116, September 1 1980 to April 30 2019), OSI SAF merged (https://osi-saf.eumetsat.int/products/osi-405-c, September 1 2019 to April 30 2021). Sea ice concentration: Final v3 NSIDC Climate Data Record (https://nsidc.org/data/g02202/versions/3/, September 1 1980 to December 31 2020), and near-real-time v2 NSIDC Climate Data Record (https://nsidc.org/data/g10016, January 1 2021 to April 30 2021). Near-surface air temperature (to derive temperature-scaled initial conditions): ECMWF ERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021). The forcings used to generate each winter dataset are described in a new 'forcings' variable in each NetCDF file. References: Petty, A. A., M. Webster, L. N. Boisvert, T. Markus (2018), The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: Initial model development and analysis, Geosci. Model Dev., doi: 10.5194/gmd-11-4577-2018. Cabaj, A., P. J. Kushner, C. G. Fletcher, S. Howell, A. Petty (2020), Constraining reanalysis snowfall over the Arctic Ocean using CloudSat observations, Geophysical Research Letters, 47, doi:10.1029/2019GL086426. : This work was funded by NASA's ICESat-2 Project Science Office (PSO) as part of efforts to generate sea ice thickness estimates from NASA's ICESat-2. Dataset Arctic Arctic Ocean Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Petty ENVELOPE(-67.467,-67.467,-67.583,-67.583) Howell ENVELOPE(-99.050,-99.050,-72.233,-72.233) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
sea ice snow |
spellingShingle |
sea ice snow Petty, Alek Cabaj, Alex NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April) |
topic_facet |
sea ice snow |
description |
NESOSIM is a three-dimensional, two-layer (vertical), Eulerian snow on sea ice budget model developed with the primary aim of producing daily estimates of the depth and density of snow on sea ice across the polar oceans through the winter accumulation season (Petty et al., 2018). This repository contains model output from September 1st 1980 to April 30th 2021 based on the NESOSIM v1.1 code release which is available on GitHub (https://github.com/akpetty/NESOSIM/tree/v1.1) and archived through Zenodo (10.5281/zenodo.4448355). More information about changes between the v1.0 and v1.1 model framework can be found in those links. A manuscript is being prepared which will provide further insights. The repository also includes a NESOSIM v1.1. daily gridded snow climatology using the mean (np.nanmean) of all data available between September 1 2010 and April 30 2020. Data production: Data are re-initialized at the end of summer each year (September 1st) using summer near-surface air temperature-scaled initial snow depths and run through until the end of April of the following year. The 1987-1988 winter is missing due to the lack of passive-microwave derived ice concentration data available during this period. Daily data are generated on a 100 km x 100 km North Polar Stereographic grid (EPSG: 3413) across the entire Arctic Ocean including the peripheral seas. Forcings: NB: Recent year runs often require the use of near-real-time data products, so the underlying forcings used in this v1.1 release can change in time, as noted below: Snowfall: European Center for Medium Range Weather Forecasts (ECMWF) ERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021) + CloudSat scaling (Cabaj et al., 2020). Near-surface winds: ECMWF ERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021). Sea ice drift: NSIDC Polar Pathfinder v4 (https://nsidc.org/data/nsidc-0116, September 1 1980 to April 30 2019), OSI SAF merged (https://osi-saf.eumetsat.int/products/osi-405-c, September 1 2019 to April 30 2021). Sea ice concentration: Final v3 NSIDC Climate Data Record (https://nsidc.org/data/g02202/versions/3/, September 1 1980 to December 31 2020), and near-real-time v2 NSIDC Climate Data Record (https://nsidc.org/data/g10016, January 1 2021 to April 30 2021). Near-surface air temperature (to derive temperature-scaled initial conditions): ECMWF ERA5 (https://cds. climate.copernicus.eu, September 1 1980 to April 30 2021). The forcings used to generate each winter dataset are described in a new 'forcings' variable in each NetCDF file. References: Petty, A. A., M. Webster, L. N. Boisvert, T. Markus (2018), The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: Initial model development and analysis, Geosci. Model Dev., doi: 10.5194/gmd-11-4577-2018. Cabaj, A., P. J. Kushner, C. G. Fletcher, S. Howell, A. Petty (2020), Constraining reanalysis snowfall over the Arctic Ocean using CloudSat observations, Geophysical Research Letters, 47, doi:10.1029/2019GL086426. : This work was funded by NASA's ICESat-2 Project Science Office (PSO) as part of efforts to generate sea ice thickness estimates from NASA's ICESat-2. |
format |
Dataset |
author |
Petty, Alek Cabaj, Alex |
author_facet |
Petty, Alek Cabaj, Alex |
author_sort |
Petty, Alek |
title |
NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April) |
title_short |
NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April) |
title_full |
NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April) |
title_fullStr |
NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April) |
title_full_unstemmed |
NASA Eulerian Snow On Sea Ice Model Version 1.1 (NESOSIMv1.1) data: 1980 - 2021 (September to April) |
title_sort |
nasa eulerian snow on sea ice model version 1.1 (nesosimv1.1) data: 1980 - 2021 (september to april) |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5899087 https://zenodo.org/record/5899087 |
long_lat |
ENVELOPE(-67.467,-67.467,-67.583,-67.583) ENVELOPE(-99.050,-99.050,-72.233,-72.233) |
geographic |
Arctic Arctic Ocean Petty Howell |
geographic_facet |
Arctic Arctic Ocean Petty Howell |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.5164313 |
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.5899087 https://doi.org/10.5281/zenodo.5164313 |
_version_ |
1766340442619641856 |