Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020)
[Data description] Monthly total freeboard (Ft), snow depth (hs), and snow depth uncertainty over Arctic sea ice data for January-February-March months of the 2003-2020 period produced by Lee and Shi et al. (2021, manuscript under review) are provided. Both variables are derived from satellite passi...
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ftdatacite:10.5281/zenodo.5081765 2023-05-15T14:53:35+02:00 Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020) Lee, Sang-Moo Shi, Hoyeon Sohn, Byung-Ju Gasiewski, Albin. J. Meier, Walter N. Dybkjær, Gorm 2021 https://dx.doi.org/10.5281/zenodo.5081765 https://zenodo.org/record/5081765 en eng Zenodo https://dx.doi.org/10.5281/zenodo.4642221 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 Snow on sea ice, total freeboard, Sea ice, Arctic climate, Satellite observations dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5081765 https://doi.org/10.5281/zenodo.4642221 2021-11-05T12:55:41Z [Data description] Monthly total freeboard (Ft), snow depth (hs), and snow depth uncertainty over Arctic sea ice data for January-February-March months of the 2003-2020 period produced by Lee and Shi et al. (2021, manuscript under review) are provided. Both variables are derived from satellite passive infrared and microwave measurements: Total freeboard was obtained from AMSR-E&2 measurements and snow depth was estimated from the AMSR and AVHRR measurements. The uploaded file titled "monthly averaged total freeboard and snow depth (JFM 2003-2020).zip" contains two directories: one for total freeboard and the other for snow depth. Naming convention is "variable_yyyymm.bin" and data format is 32-bit floating point array in shape of 304 x 448 (25 km polar stereographic grid). Here we provide an example Python code to read monthly snow depth of January 2003 using numpy. import numpy as np hs = np.fromfile('hs_200301.bin', dtype=np.float32).reshape(448,304) Geocoordinate tools for the 25 km polar stereographic grid are available at NSIDC website (https://nsidc.org/data/polar-stereo/tools_geo_pixel.html) [Abbreviations] AMSR: Advanced Microwave Scanning Radiometer AVHRR: Advanced Very High Resolution Radiometer NSIDC: National Snow and Ice Data Center : Update for version 3: snow depth uncertainty is now included. Dataset Arctic National Snow and Ice Data Center Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Snow on sea ice, total freeboard, Sea ice, Arctic climate, Satellite observations |
spellingShingle |
Snow on sea ice, total freeboard, Sea ice, Arctic climate, Satellite observations Lee, Sang-Moo Shi, Hoyeon Sohn, Byung-Ju Gasiewski, Albin. J. Meier, Walter N. Dybkjær, Gorm Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020) |
topic_facet |
Snow on sea ice, total freeboard, Sea ice, Arctic climate, Satellite observations |
description |
[Data description] Monthly total freeboard (Ft), snow depth (hs), and snow depth uncertainty over Arctic sea ice data for January-February-March months of the 2003-2020 period produced by Lee and Shi et al. (2021, manuscript under review) are provided. Both variables are derived from satellite passive infrared and microwave measurements: Total freeboard was obtained from AMSR-E&2 measurements and snow depth was estimated from the AMSR and AVHRR measurements. The uploaded file titled "monthly averaged total freeboard and snow depth (JFM 2003-2020).zip" contains two directories: one for total freeboard and the other for snow depth. Naming convention is "variable_yyyymm.bin" and data format is 32-bit floating point array in shape of 304 x 448 (25 km polar stereographic grid). Here we provide an example Python code to read monthly snow depth of January 2003 using numpy. import numpy as np hs = np.fromfile('hs_200301.bin', dtype=np.float32).reshape(448,304) Geocoordinate tools for the 25 km polar stereographic grid are available at NSIDC website (https://nsidc.org/data/polar-stereo/tools_geo_pixel.html) [Abbreviations] AMSR: Advanced Microwave Scanning Radiometer AVHRR: Advanced Very High Resolution Radiometer NSIDC: National Snow and Ice Data Center : Update for version 3: snow depth uncertainty is now included. |
format |
Dataset |
author |
Lee, Sang-Moo Shi, Hoyeon Sohn, Byung-Ju Gasiewski, Albin. J. Meier, Walter N. Dybkjær, Gorm |
author_facet |
Lee, Sang-Moo Shi, Hoyeon Sohn, Byung-Ju Gasiewski, Albin. J. Meier, Walter N. Dybkjær, Gorm |
author_sort |
Lee, Sang-Moo |
title |
Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020) |
title_short |
Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020) |
title_full |
Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020) |
title_fullStr |
Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020) |
title_full_unstemmed |
Monthly total freeboard and snow depth over Arctic sea ice from AMSR-E&2 and AVHRR measurements (2003-2020) |
title_sort |
monthly total freeboard and snow depth over arctic sea ice from amsr-e&2 and avhrr measurements (2003-2020) |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5081765 https://zenodo.org/record/5081765 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic National Snow and Ice Data Center Sea ice |
genre_facet |
Arctic National Snow and Ice Data Center Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.4642221 |
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.5081765 https://doi.org/10.5281/zenodo.4642221 |
_version_ |
1766325185100644352 |